Year: 2023

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Best AI Tools for Web Designers (2023)

Best AI Tools for Web Designers (2023)

The emergence of synthetic intelligence forces our civilization to bear a paradigm adjust. What was formerly produced by humans may be done by AI in various sectors in the upcoming. Variations and troubles are in advance for us shortly, which we should defeat in beforehand unthinkable means. Synthetic intelligence will want us to rethink how we make jobs and our social products to coexist in the identical universe.

The realm of world wide web layout has been impacted by this transformation, substantially like numerous other industries. In fact, many technologies have been made not long ago that utilize AI to structure and web improvement.

Quite a few enterprises have begun to use synthetic intelligence to generate remedies that assist internet challenge builders and designers. These new technologies make it simpler for experts to do their work and velocity up some of the procedures concerned in manufacturing digital items.

🔥 Recommended Read through: Leveraging TensorLeap for Effective Transfer Mastering: Beating Domain Gaps

It has now been shown how artificial intelligence and its device studying models may possibly inspire a new way of doing the job in design and style and entrance-close growth, even if some of these equipment are nonetheless experimental and want refinement.

Colormind

Building harmonizing coloration palettes is just one of the most unexciting, repetitive, but more and more important chores in the world wide web design and style move, and Colormind is an AI-powered tool that does it.

Colormind has been all-around for a even though, so the neighborhood has extensively evaluated and endorsed it. It picks up colour choices from day-to-day posted photos, films, and operates of preferred art. It now incorporates a huge databases of shade strategies produced by other men and women.

Khroma

Khroma is an artificial intelligence-based coloration instrument you can educate by picking 50 of your most loved hues. Based on these options, the laptop or computer results in infinite shade palette combinations. They might be proven on themes, these types of as Text, Poster, Gradient, and Photo, that address frequent use-circumstance circumstances. Consumers may perhaps also test colour schemes on their primary photos.

Vance AI

World wide web designers and anyone else who needs polished or altered photographs now have it considerably more simple many thanks to AI picture processing and automated photograph modifying systems. A person of the most very well-known companies in this sector is Vance AI.

Vance AI employs Deep Convolutional Neural Networks qualified on millions of shots and excels at handling authentic aspects. Use the platform to streamline processes and present new chances for imaginative picture alterations and manipulations that adhere to model demands and consumer anticipations.

Secure Diffusion

Steady Diffusion is a not long ago launched AI-based technology produced by Security AI, CompVis LMU, and Runway with EleutherAI and LAION. It promises to give some amazing outcomes.

Now, depending on a textual content prompt describing the merchandise to be included or excluded from the output, it results in specific graphics. In addition, the product can redraw outdated graphics to include newly specified components.

Stable Diffusion may also make picture-to-image translations or create new pictures based mostly on the unique impression, together with facts from the text prompt. The point that it’s cost-free is fantastic. Even so, continue to keep in intellect copyright and appropriate output use.

Dall-E

We could not resist but point out Dall-E while talking about deep understanding models employed to deliver electronic pictures from purely natural language descriptions. This powerful AI know-how has some authorized complications considering that it is nonetheless currently being established who owns the visuals, but it has presently remodeled how we can make specified varieties of images.

So what’s the significant offer? Dall-E is an AI unit that results in graphics in response to commands. With better resolutions, it could make reasonable photographs that mimic wished-for aesthetics, ideas, and certain attributes and qualities.

Dall-E are unable to produce violent, hateful, or pornographic pictures, which is wonderful news. Furthermore, it employs slicing-edge solutions to halt the enhancement of lifelike facial photos of real individuals. Therefore, renowned people today are secure. Net designers might use it securely to customize vector stock for their internet site style and design suggestions.

Midjourney

Not too long ago, Midjourney has received popularity. You have read about it as soon as or 2 times if you are a designer. Even though the platform is still in its screening phase (it is now available in open beta and solicits enter for enhancements), the very first results are rather encouraging.

A chatbot named Midjourney converses with persons in their language. From verbal descriptions and prompts, website designers might give recommendations and orders to establish graphics, which include on the net interfaces. It performs perfectly for building concepts and special material ideal for so-termed “custom adverts created for people today.”

ChatGPT Prompts – Curated Selection

ChatGPT has absolutely modified how web style initiatives are concluded. It employs algorithms to evaluate a assertion introduced in the discussion and provides a final result pertinent to the input. Only easy instruction will do.

Even even though there is however much room for advancement, it has presently developed some great outcomes. The success from ChatGPT when requested to complete the roles of a world-wide-web designer, UI/UX designer, copywriter, or challenge manager are just a number of examples. They have compiled a list of authentic ChatGPT prompts for web page designers and outputs that address some repeated troubles as proof.

Styles AI

For individuals without design and style skills and net designers who will need to build spectacular templates rapidly, Styles AI is a impressive AI-centered all-in-1 answer. The brand name might be introduced in different important methods, like voice, video, design, and symbol. A graphic creator, colour matcher, and font pairs are also incorporated.

It is a very well-rounded process that provides generators and complies with the most recent norms and technical specs. While it simply cannot generate a mockup with no your enable, it still has numerous good AI abilities that significantly speed up the net design and style procedure.

Zyro

The period of Lorem Ipsum is about. AI-run instruments that make human-like readable copies may be valuable if you require a text excerpt for your web page. Zyro is just one amongst them as perfectly. Despite preserving tens of millions of web page designers from shelling out time manufacturing phony textual content, with this astounding world wide web software, the specialized niche carries on to mature.

Dependent on your parameters, our AI-run articles generator creates unique and personalized textual content, which includes site headlines, in seconds. It adheres to the prime Search engine optimization and copywriting procedures considering the fact that it has been trained on tens of millions of sources.

Uizard

Uizard’s tagline states that no prior layout expertise is needed.

To develop sites with beautiful seems to be, desirable functionality, and an incredible person encounter, world wide web designers might use this extraordinary AI-run software, which wants no style and design understanding or experience. Clients may perhaps immediately remodel their hand-drawn ideas into workable, polished electronic variations with Uizard. This is the latest era of properly-identified web page builders with drag-and-fall participate in places.

Extra exists. You may perhaps clearly show the platform lots of screenshots of user interfaces you like if you want a drawing. The AI helper will do this quickly, giving you a distinctive UX design model and a company foundation on which to establish.

From simple landing internet pages to considerable e-commerce endeavors and on the net apps, Uizard can style user interfaces for cellular applications and websites. For item managers, UX designers, enterprise founders, consultants, and developers, it addresses a range of predicaments.

Sketch to Code

Microsoft made this incredible AI-run device, and it is immediately gaining acceptance in the on line local community. It already has a sizable next that makes use of its guarantee to streamline workflow procedures and crack down limitations.

Sketch to Code allegedly acquired education on tens of millions of pics. As a consequence, you need to anticipate some refined outcomes. This AI technological know-how does a excellent career of changing hand-drawn web site style elements like a textbox or button from paper to their electronic counterparts placed on electronic sheets. You may quickly transform the wireframe for a website site into a digital structure.

Not just that. This digital edition will include things like an HTML model, enabling net designers to produce UI wireframes and renovate them into functional prototypes without specialised expertise or programming skills.

Sensei by Adobe

A different very well-known brand in our listing of the major AI equipment for internet designers focuses on boosting output and turning a workflow into a enjoyable action. An synthetic intelligence products called Adobe Sensei operates with Adobe purposes. It was produced to make it simpler for creatives, such as web designers, to speedily and flawlessly offer you the best customer working experience throughout various communication channels. AI drives the imaginative equipment in the Adobe Suite, earning it noticeably less difficult and quicker for world wide web designers to get the wanted final results.

Fronty

Fronty is an online software that uses AI to rework a photograph into HTML and CSS code. With this software, you may perhaps easily build a web-site by uploading a image of your structure. Fronty will right away generate the front-conclude code (HTML / CSS) right after your style has loaded.

You can also speedily adjust the articles and layout of your site on the net working with their UI editor. Fronty can deliver clear Code that makes use of potent SCSS and semantically valid HTML. 

Playground by TeleportHQ

An open-source platform named TeleportHQ leverages AI to offer “real-time structure-to-code” methods. The video clip (previously mentioned) demonstrating the actual-time conversion of a wireframe created on a blackboard into front-conclusion code was originally released by TeleportHQ in 2018. Remarkable was the end result!

Personal computer eyesight is taught to detect hand-drawn UI components. A machine studying product made making use of TensorFlow built the technique feasible (open supply platform for equipment finding out created by the Google Mind workforce). At that time, TeleportHQ, a Romanian startup, continued its analyze in synthetic intelligence for world-wide-web design and style.

Zecoda

Zecoda is a software that, with the help of artificial intelligence, enables you to quickly and efficiently change your Sketch files into entrance-close code. Zecoda will quickly provide the HTML, CSS, and JavaScript code making use of the Vue.js framework when you post your layout file. Without crafting any code, you can use Zecoda to switch your style and design into a responsive web-site completely ready for publication.

Zecoda is a 90{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} artificially clever, 10{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} human-touched instrument. This is so that it brings together deep learning’s pace with the assurance of good quality and security offered by a world wide web developer analysis. In actuality, a developer will generally review the Code that is provided to you.

Artyline

With the assistance of the augmented fact (AR) smartphone application Artyline, you can swiftly create interactive, higher-fidelity prototypes from your hand-drawn styles. Consider staying ready to exhibit your paper-drawn prototype in augmented fact for a briefing. Artyline can make this possible.

Also, this iOS computer software will allow you to produce true-time usability screening with eye-tracking and click-monitoring stats and innovative screens with contemporary UI and layout alternatives.

The program is simple to use: make your drawing, scan it with the application, and in a handful of seconds, you will have your digital sketch in augmented truth. Using computer eyesight to identify sketch parts and augmented truth on your smartphone to produce a ready-produced mockup, Artyline is boosted by artificial intelligence.

Do not neglect to join our 15k+ ML SubReddit, Discord Channel, and Electronic mail Newsletter, in which we share the most recent AI study information, neat AI projects, and extra. If you have any concern regarding the previously mentioned write-up or if we missed anything at all, truly feel free of charge to e mail us at Asif@marktechpost.com


Prathamesh Ingle is a Mechanical Engineer and is effective as a Facts Analyst. He is also an AI practitioner and qualified Data Scientist with an curiosity in purposes of AI. He is enthusiastic about exploring new systems and breakthroughs with their real-life programs


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Top 10 Best Healthcare IT Services In Europe 2023

Top 10 Best Healthcare IT Services In Europe 2023

Health care IT products and services have come to be necessary to offer high-quality and well timed healthcare to sufferers in Europe. The healthcare sector in Europe is continually evolving, and the adoption of engineering is accelerating at a quick pace.

  • Cerner is a international leader in healthcare IT remedies, and its products and solutions are greatly applied in Europe. Cerner’s electronic wellness records (EHR) procedure allows healthcare companies to entry individual details quickly, streamline workflows, and make improvements to client outcomes. oracle's cerner acquisition sets stage for ehr upgrade | the healthcare technology report.Cerner is a world wide chief in healthcare IT remedies, and its products are widely made use of in Europe. The company’s mission is to support healthcare suppliers to present high-quality care to patients by way of the use of technological know-how. Cerner’s electronic health documents (EHR) technique is a person of the most broadly made use of EHR devices in Europe. It enables health care suppliers to accessibility affected person info conveniently, streamline workflows, and strengthen patient outcomes.

    Cerner’s EHR system is created to be person-welcoming and customizable, making it possible for health care providers to tailor it to their specific desires. The process incorporates superior characteristics this sort of as scientific choice support, which offers health care suppliers with genuine-time info about the patient’s health status and suggests correct interventions. The process also consists of inhabitants wellbeing management resources, which enable health care providers to keep track of well being outcomes at the populace stage, establish tendencies, and allocate resources properly.

    Cerner’s remedies also incorporate profits cycle management, which allows healthcare suppliers to take care of economic transactions properly, ensuring timely payment for companies rendered. The company’s solutions are scalable and adaptable, enabling health care companies to customize them to meet their one of a kind needs.

  • InterSystems provides revolutionary program options that permit interoperability in between distinct healthcare methods, enabling the trade of health and fitness details throughout the care continuum. The company’s software program is utilised by healthcare organizations across Europe. digitalization in healthcare: overview and trends for 2023 - stratoflowInterSystems is a global chief in software program alternatives for healthcare companies. The company’s program enables interoperability between diverse health care techniques, enabling the exchange of health information throughout the treatment continuum. InterSystems’ methods are utilised by health care businesses across Europe.

    InterSystems’ program remedies include overall health information and facts trade (HIE), which permits healthcare vendors to share client facts securely and successfully. The company’s software program also features interoperability methods, which permit health care providers to exchange details concerning unique units and purposes, bettering conversation and collaboration involving health care experts.

    InterSystems’ solutions also incorporate analytics applications, which enable healthcare providers to make far better-informed conclusions. Its analytics options provide real-time info about patient overall health outcomes, enabling health care suppliers to keep track of individual wellbeing and monitor well being outcomes at the population amount.

    In summary, Cerner and InterSystems are top healthcare IT firms that offer innovative methods to health care vendors in Europe. Cerner’s EHR procedure is commonly utilised and trustworthy by health care companies, enabling them to entry individual info very easily and strengthen patient results.

    InterSystems’ computer software remedies permit healthcare providers to exchange health and fitness information securely and proficiently, increasing conversation and collaboration among health care experts. Both businesses are fully commited to bettering the quality of health care via the use of know-how.                                                       

  • Allscripts supplies health care IT solutions that permit health care companies to provide individualized treatment to their people. Its options incorporate EHR, income cycle administration, and populace wellbeing administration resources, which are extensively utilised in Europe. new smart in-patient room automation system launched for contactless healthcare services in covid era | new news – india tv
  • McKesson is a world wide healthcare IT expert services service provider that offers a assortment of methods, which includes EHR, observe administration, and earnings cycle management units. The business has a potent existence in Europe, in which its methods are extensively used. mckesson corporation (mck) company profile, news, rankings | fortune
  • Philips is a foremost healthcare know-how enterprise that offers innovative methods to enhance affected individual results. Its healthcare IT methods include EHR, population health management, and imaging systems, which are broadly made use of in Europe.Philips is a global healthcare technological know-how enterprise that provides revolutionary options to enhance client results. Its healthcare IT methods include electronic wellness records (EHR), patient monitoring systems, and diagnostic imaging solutions. Philips’ solutions are developed to be person-welcoming and adaptable, enabling healthcare suppliers to deliver individualized treatment to their patients.

    Philips’ EHR system, which is employed commonly in Europe, allows healthcare companies to entry individual details simply and securely, improving prognosis and procedure. Its patient checking units allow healthcare companies to check patients’ well being in true-time, delivering them with actionable insights that can assist them to make much better-knowledgeable decisions.

    Philips’ diagnostic imaging solutions, which includes magnetic resonance imaging (MRI) and computed tomography (CT), supply significant-quality illustrations or photos that help healthcare suppliers to make more precise diagnoses and therapy choices.

    The company’s methods also include medical informatics, which permits health care suppliers to regulate affected person knowledge correctly, enhancing medical workflows and reducing faults. Its analytics applications present genuine-time information about patient overall health results, enabling health care companies to watch affected individual health and fitness and observe wellness results at the inhabitants amount.

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  • Agfa Healthcare presents innovative IT remedies that empower healthcare companies to strengthen client results and cut down prices. Its answers include things like EHR, business imaging, and determination help techniques, which are commonly used in Europe.Agfa Healthcare is a top healthcare IT company that presents impressive answers to health care vendors in Europe. The company’s alternatives enable healthcare providers to manage client information and facts correctly, strengthen medical workflows, and reduce expenditures.

    Agfa Healthcare’s methods contain radiology facts units (RIS), picture archiving and interaction methods (PACS), and company imaging options. Agfa Healthcare’s RIS and PACS answers empower healthcare companies to manage affected person imaging information efficiently, improving medical workflows and lessening mistakes.

    The company’s company imaging alternatives allow healthcare vendors to handle affected person details from several resources, furnishing a extensive look at of client wellbeing. The company’s methods are scalable and adaptable, enabling health care suppliers to personalize them to meet up with their special demands.

    Agfa Healthcare’s methods also include advanced analytics equipment, which permit healthcare vendors to make much better-informed conclusions. Its analytics methods give authentic-time data about individual overall health results, enabling healthcare providers to keep an eye on individual wellbeing and track well being results at the population amount.

  • IBM Watson Health                                                                                           IBM Watson Well being supplies state-of-the-art health care analytics and AI methods that help health care companies to make much better-educated selections. Its remedies are made use of by health care organizations across Europe.IBM Watson Wellness is a world chief in health care technologies and solutions. The company’s remedies contain artificial intelligence (AI) instruments, populace wellness administration equipment, and price-based mostly treatment remedies. IBM Watson Health’s remedies allow health care providers to produce personalized care to their people, bettering overall health results and reducing prices.

    IBM Watson Health’s AI resources empower health care vendors to evaluate massive quantities of individual information, providing them with actionable insights that can enable them to make greater-knowledgeable decisions. The company’s populace wellness management applications permit healthcare companies to observe wellbeing outcomes at the population level, enabling greater resource allocation and improved health and fitness outcomes.

    Its benefit-centered treatment remedies allow healthcare vendors to provide care that is equally powerful and price tag-productive, enhancing affected individual results and lowering fees.

    The company’s solutions are intended to be person-helpful and adaptable, enabling health care vendors to customise them to satisfy their distinctive needs. IBM Watson Health’s remedies are also scalable, enabling healthcare vendors to extend their use of engineering as their requirements evolve.

    In summary, Agfa Healthcare and IBM Watson Health and fitness are foremost healthcare IT providers that give modern solutions to health care providers in Europe. Their options permit healthcare companies to deal with client info effectively, increase medical workflows, and lessen expenses.

    Both of those businesses are dedicated to strengthening the quality of health care by means of the use of technologies, and their methods empower health care suppliers to supply customized care to their people, increasing wellbeing outcomes and lowering costs.

  • Siemens Healthineers is a foremost healthcare technology company that offers progressive answers to strengthen patient outcomes. Its healthcare IT solutions include EHR, population wellbeing management, and imaging devices, which are extensively utilised in Europe.Siemens Healthineers is a international chief in clinical technologies and healthcare IT methods. The company’s alternatives enable health care vendors to deliver personalized care to their patients by streamlining workflows, optimizing resources, and enhancing communication amongst healthcare specialists. Siemens Healthineers’ healthcare IT remedies consist of EHR, radiology details programs, and laboratory information devices.

    The company’s EHR option permits health care companies to entry patient information and facts very easily and securely, improving diagnosis and treatment. Its radiology info systems enable health care vendors to regulate individual imaging facts proficiently, increasing clinical workflows and decreasing glitches.

    The company’s laboratory information devices permit health care vendors to take care of laboratory data correctly, strengthening efficiency and cutting down charges. Siemens Healthineers’ remedies also include superior analytics and artificial intelligence (AI) equipment, which empower health care vendors to make superior-knowledgeable selections

    Its AI-run imaging answers deliver significant-high quality visuals that help healthcare suppliers to make more precise diagnoses and treatment method choices. Its populace well being management tools enable health care vendors to monitor overall health results at the inhabitants stage, enabling better source allocation and enhanced overall health results.

    In summary, Philips and Siemens Healthineers are top health care technological know-how businesses that provide ground breaking answers to health care suppliers in Europe. Their methods enable healthcare vendors to provide customized treatment to their people by streamlining workflows, optimizing resources, and bettering communication involving health care gurus.

    Equally companies are dedicated to bettering the top quality of health care as a result of the use of technological innovation.                

  • GE Health care provides a variety of health care IT remedies that help health care suppliers to strengthen affected person results and lessen expenses. Its solutions consist of EHR, observe administration, and revenue cycle administration units, which are greatly applied in Europe.   GE Health care is a world-wide health care engineering business that offers impressive answers to strengthen affected individual results. Its healthcare IT options include electronic wellness documents (EHR), apply management, and revenue cycle administration methods.

    GE Healthcare’s methods are intended to streamline workflows, enhance means, and boost conversation amongst health care professionals, enabling them to provide personalized treatment to their patients.

    The company’s EHR resolution, which is applied commonly in Europe, enables healthcare suppliers to accessibility client information quickly and securely, making it simpler to diagnose and handle patients. The follow management process aids health care companies to handle appointments, billing, and other administrative duties effectively, strengthening performance and decreasing fees.

    The income cycle administration technique permits healthcare vendors to manage economical transactions successfully, making certain well timed payment for solutions rendered.

    GE Healthcare’s answers also incorporate imaging programs, which permit healthcare vendors to diagnose and take care of sufferers additional effectively. Its innovative imaging alternatives, such as magnetic resonance imaging (MRI) and computed tomography (CT), are employed commonly in Europe, and they give healthcare suppliers with higher-high-quality illustrations or photos that can aid them to make a lot more exact diagnoses and treatment method conclusions.

    In conclusion, GE Health care is a top healthcare engineering enterprise that delivers impressive options to boost patient outcomes. Its health care IT answers, together with EHR, follow administration, profits cycle management, and imaging programs, are trusted by healthcare providers throughout Europe, and they permit healthcare suppliers to supply customized care to their individuals by streamlining workflows, optimizing methods, and improving upon communication amongst health care industry experts.

  • DXC Technologies presents healthcare IT options that help healthcare vendors to deliver personalized care to their people. Its alternatives consist of EHR, profits cycle administration, and inhabitants health administration tools, which are widely applied in Europe.DXC Technological innovation is a worldwide chief in digital transformation, and it delivers a range of health care IT methods to make improvements to affected individual results and cut down charges. Its health care remedies enable health care vendors to deliver customized care to their individuals by streamlining workflows, optimizing assets, and improving communication between health care industry experts.

    DXC Technology’s healthcare remedies include digital health and fitness records (EHR), profits cycle administration, and populace wellness administration instruments. Its EHR option, which is used extensively in Europe, lets healthcare suppliers to accessibility patient facts very easily and securely, creating it much easier to diagnose and handle patients.

    The earnings cycle management software aids healthcare suppliers to control financial transactions successfully, making certain timely payment for companies rendered. The inhabitants health administration device permits healthcare providers to observe client health and keep track of wellbeing outcomes at the population level, enabling improved resource allocation and enhanced overall health results.

    The company’s remedies also include analytics and synthetic intelligence (AI) instruments that empower healthcare suppliers to make far better-educated conclusions. Its AI-powered chatbot option gives individualized suggestions to individuals, generating it less difficult for them to handle their health and fitness.

    DXC Technology’s healthcare remedies are scalable and adaptable, enabling health care suppliers to personalize them to meet their special desires. The company has a robust presence in Europe, and its health care solutions are dependable by healthcare vendors throughout the continent.

    • In summary, health care IT products and services are important to provide good quality healthcare to individuals in Europe. The corporations stated earlier mentioned are leading the way in the industry and are trusted by healthcare vendors throughout Europe. By using their modern remedies, health care companies can improve client outcomes, streamline workflows, and cut down costs.

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    CloudWerx On Google Cloud’s ‘Powerful’ New Licensing, Pricing

    CloudWerx On Google Cloud’s ‘Powerful’ New Licensing, Pricing

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    ‘This provides people the accessibility to dip their toes into the water and really embrace a multi-cloud or hybrid cloud solution through spinning up more person workloads,’ claims Betsy Reed, co-founder, vice president and CRO of Google Cloud spouse CloudWerx.

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    Google Cloud’s new Flex Agreements, which now allow consumers to migrate their workloads to the cloud with no up-front commitments, are developing new buyer options for channel companions whilst also aiding enterprises stay clear of cloud vendor lock-in.

    “The Flex Agreements and versatile pricing demonstrate us that Google is expressing, ‘Hey, we really don’t want seller lock-in. We want you to use us where you need us and not truly feel locked into a dedication mainly because you want to fulfill some industrial terms for your organization,’” explained Betsy Reed, co-founder, vice president and CRO for fast-escalating Google Cloud partner CloudWerx. “That’s a definitely a effective situation to be in. That’s a place of toughness.”

    As part of Google’s new licensing choice, prospects can even now get obtain to Google Cloud incentives this kind of as regular monthly expending bargains and cloud credits. In addition, the $29 billion cloud huge recently unveiled a few new cloud package deal pricing editions: Common, Organization and Enterprise In addition.

    [Related: AWS Vs. Azure Vs. GCP: Flexera 2023 Customer Cloud Results]

    Reed reported Google Cloud’s new pricing and versatile options will improved empower enterprises to embrace a multi-cloud or hybrid cloud approach.

    “This provides folks the accessibility to dip their toes into the water and genuinely embrace a multi-cloud or hybrid cloud strategy through spinning up additional individual workloads,” she mentioned.

    CloudWerx

    CloudWerx is a speedy-increasing cloud consulting startup that has by now realized Google Cloud’s Premier Associate position, while also lately attaining Google’s Infrastructure Products and services Specialization.

    Started in 2020, the Santa Clara, Calif.-based business is an all-in Google Cloud lover that currently has a lot more than 200 shoppers along with a 100 per cent consumer retention rate. The firm has an engineering target that operates on the cloud and aims to clear up advanced cloud environments at scale. CloudWerx is performing hand-in-hand with Google Cloud on developing new alternatives, doing the job with joint buyers, finding choices on the Google Cloud Market and significantly more.

    In an job interview with CRN, Reed clarifies the significance of Google Cloud’s new Flex Agreements, some warm Google merchandise in the market place now and CloudWerx’s cloud optimization method.

     

    Learn About Mark Haranas

    Mark Haranas

    Mark Haranas is an assistant information editor and longtime journalist now covering cloud, multicloud, computer software, SaaS and channel associates at CRN. He speaks with environment-renown CEOs and IT industry experts as effectively as masking breaking news and live situations even though also handling many CRN reporters. He can be arrived at at mharanas@thechannelcompany.com.


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    Telcos urge EU to charge Big Tech for internet

    Telcos urge EU to charge Big Tech for internet

    European telcos want U.S. big tech to pay for the internet — but tech giants are hitting back

    Tensions involving European telecommunications firms and U.S. Huge Tech businesses have crested, as telecom bosses mount force on regulators to make digital giants fork up some of the expense of setting up the spine of the world-wide-web.

    European telcos argue that huge web companies, predominantly American, have built their companies on the back of the multi-billion dollar investments that carriers have created in world-wide-web infrastructure.

    Google, Netflix, Meta, Apple, Amazon and Microsoft deliver approximately fifty percent of all world-wide-web website traffic nowadays. Telcos imagine these firms should spend “good share” service fees to account for their disproportionate infrastructure needs and support fund the rollout of future-technology 5G and fiber networks.

    The European Fee, the EU’s executive arm, opened a session previous month analyzing how to handle the imbalance. Officers are trying to find sights on no matter if to involve a immediate contribution from net giants to the telco operators.

    Large Tech corporations say this would quantity to an “net tax” that could undermine net neutrality.

    What are telco giants expressing?

    Prime telecom bosses came out swinging at the tech businesses during the Mobile Earth Congress in Barcelona.

    They bemoaned expending billions on laying cables and putting in antennas to cope with increasing net demand from customers without corresponding investments from Big Tech.

    Orange exec: Industry is moving toward Open RAN network

    “Without the need of the telcos, without the community, there is no Netflix, there is no Google,” Michael Trabbia, chief technological innovation and innovation officer for France’s Orange, advised CNBC. “So we are certainly important, we are the entry stage to the digital world.”

    In a Feb. 27 presentation, the CEO of German telecom group Deutsche Telekom, Tim Hoettges, confirmed viewers associates a rectangular illustration, representing the scale of marketplace capitalization between diverse sector participants. U.S. giants dominated this map.

    Tim Hoettges, CEO of Deutsche Telekom, delivers a keynote at Cell Planet Congress.

    Angel Garcia | Bloomberg | Getty Visuals

    Hoettges asked attendees why these providers couldn’t “at minimum a tiny bit, add to the efforts and the infrastructure which we are building right here in Europe.”

    Howard Watson, main technological know-how officer of BT, explained he sees advantage in a payment for the substantial tech players.

    “Can we get a two-sided design to work, the place the customer pays the operator, but also the content service provider pays the operator?” Watson advised CNBC very last week. “I do imagine we should really be wanting at that.”

    Watson drew an analogy to Google and Apple’s app stores, which charge builders a lower of in-app sales in return to use their expert services.

    What have U.S. tech companies reported?

    Attempts to implement community expenses have been strongly criticized — not the very least by tech firms.

    Talking on Feb. 28 at MWC, Netflix co-CEO Greg Peters labeled proposals to make tech corporations fork out internet assistance providers for network costs an web traffic “tax,” which would have an “adverse result” on customers.

    Greg Peters, Co-CEO of Netflix, speaks at a keynote on the future of leisure at Mobile Earth Congress 2023.

    Joan Cros | Nurphoto | Getty Pictures

    Necessitating the likes of Netflix — which presently spends closely on information supply — to spend for network updates would make it tougher to establish preferred reveals, Peters claimed.

    Tech firms say that carriers previously obtain money to spend in infrastructure from their customers — who pay back them via call, text and data fees — and that, by asking internet businesses to shell out for carriage, they effectively want to get compensated two times.

    Shoppers might close up absorbing charges requested of electronic content material platforms, and this could in the end “have a damaging impression on consumers, especially at a time of rate raises,” Matt Brittin, Google’s head of EMEA, reported in September.

    Tech firms also argue that they are currently earning massive investments in European telco infrastructure, which include subsea cables and server farms.

    Rethinking ‘net neutrality’

    The “reasonable share” debate has sparked some issue that the concepts of internet neutrality — which say the online must be free of charge, open, and not give precedence to any just one provider — could be undermined. Telcos insist they are not attempting to erode web neutrality.

    Telenor CEO: See resilience in the business as connectivity remains key amid inflation

    Technological innovation companies stress that these who fork out much more for infrastructure may well get better community access.

    Google’s Brittin said that reasonable share payments “could most likely translate into steps that efficiently discriminate amongst different sorts of traffic and infringe the legal rights of conclusion customers.”

    Just one suggestion is to call for personal bargaining bargains with the Significant Tech firms, similar to Australian licensing styles concerning news publishers and world-wide-web platforms.

    “This has almost nothing to do with internet neutrality. This has practically nothing to do with access to the community,” reported Sigve Brekke, CEO of Telenor, explained to CNBC on Feb. 27. “This has to do with the burden of cost.”

    Brief-phrase remedy?

    Carriers gripe that their networks are congested by a large output from tech giants. 1 solution is to stagger content material delivery at diverse situations to simplicity the load on community traffic.

    Digital content material providers could time a new blockbuster movie or recreation releases far more proficiently, or compress the details shipped to simplicity the pressure off networks.

    “We could just begin with getting a clear routine of what is coming when, and getting in a position to have a dialogue as to whether organizations are utilizing the most effective way of carrying the site visitors, and could specified non-time vital content be shipped at unique situations?” Marc Allera, CEO of BT’s customer division, advised CNBC.

    “I imagine that is a pretty, rather uncomplicated debate to be experienced, actually, despite the fact that a good deal of the material is international, and what may well be hectic in just one country and just one time may or may well not be active in one more. But I believe at a neighborhood degree is certainly a really uncomplicated discussion to have.”

    He suggested the net neutrality thought demands a little bit of a refresh.

    Not a ‘binary choice’

    The “honest share” debate is as outdated as time. For in excess of a decade, telecom operators have complained about over-the-leading messaging and media solutions like WhatsApp and Skype “cost-free using” on their networks.

    At this year’s MWC, there was one noteworthy difference — a superior-position EU official in the home.

    Thierry Breton, inside market place commissioner for the European Union, delivers a keynote at Cell Environment Congress in Barcelona.

    Angel Garcia | Bloomberg | Getty Photos

    Thierry Breton, head of interior markets for the European Fee, reported the bloc will have to “locate a financing product for the enormous investments necessary” in the advancement of future-generation cellular networks and rising technologies, like the metaverse.

    Breton explained it was important not to undermine internet neutrality and that the debate ought to not be characterized as a “binary alternative” among net support vendors and Significant Tech corporations.

    Breton’s presence at MWC appeared to mirror the bloc’s sympathies toward Massive Telecom, in accordance to Paolo Pescatore, tech, media and telecom analyst at PP Foresight.

    “The problem in Europe is it can be not that distinct minimize simply because you have an imbalance,” Pescatore mentioned. “The imbalance is not down to Large Tech, it truly is not down to streamers, and it is not down to telcos. It truly is down largely to the previous, out-of-day regulatory surroundings.”

    A absence of cross-border consolidation and stagnating revenues in the telecoms sector created a “best concoction which is unfavorable to telcos,” he claimed.

    “A probable landing zone for resolution is a framework for telcos to negotiate individually with the tech firms that crank out the heaviest visitors,” Ahmad Latif Ali,  European telecommunications insights lead at IDC, explained to CNBC. “Having said that, this is a really contested problem.”

    View: 3 decades following inventing the net, Tim Berners-Lee has some thoughts on how to resolve it

    Three decades after inventing the web, Tim Berners-Lee has some ideas on how to fix it
    Posted on

    Eluktronics Mech-17 GP2 laptop review: MSI GT77 Titan performance without the size

    Eluktronics Mech-17 GP2 laptop review: MSI GT77 Titan performance without the size
    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    191.1 (39.9min) fps ∼98{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (156 – 191.1, n=2) MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    169.8 (31.6min) fps ∼87{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -11{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    147.8 (73.8min) fps ∼76{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -23{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M




    126.8 (56.9min) fps ∼65{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -34{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Pulse GL76 12UGK
    Intel Core i7-12700H, NVIDIA GeForce RTX 3070 Laptop GPU




    118.8 (57.2min) fps ∼61{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -38{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    178.6 (37.8min) fps ∼97{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (144 – 178.6, n=2) MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    150.3 (46min) fps ∼81{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -16{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    125.7 (28.9min) fps ∼68{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -30{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M




    106.3 (58.3min) fps ∼57{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -40{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Pulse GL76 12UGK
    Intel Core i7-12700H, NVIDIA GeForce RTX 3070 Laptop GPU




    102.4 (45.2min) fps ∼55{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -43{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    166.9 (37.1min) fps ∼92{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (136 – 166.9, n=3) MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    120.5 (53.2min) fps ∼66{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -28{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    111.5 (25.4min) fps ∼61{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -33{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Pulse GL76 12UGK
    Intel Core i7-12700H, NVIDIA GeForce RTX 3070 Laptop GPU




    83.2 (41.6min) fps ∼46{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -50{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M




    78.9 (54.2min) fps ∼43{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -53{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU Average NVIDIA GeForce RTX 4090 Laptop GPU
      (104.5 – 159.7, n=6) MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    99.4 (40.7min) fps ∼55{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -38{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    92.1 (17.3min) fps ∼51{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -42{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    73.81 (36.7min) fps ∼41{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -54{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Pulse GL76 12UGK
    Intel Core i7-12700H, NVIDIA GeForce RTX 3070 Laptop GPU




    69.8 (41.8min) fps ∼39{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -56{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M




    63.8 (42.9min) fps ∼35{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -60{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU Average NVIDIA GeForce RTX 4090 Laptop GPU
      (75.7 – 101.3, n=6) Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    54 (35.6min) fps ∼32{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -47{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    45.9 (34.7min) fps ∼27{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -55{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Average NVIDIA GeForce RTX 4090 Laptop GPU
      (41.9 – 56, n=4) Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    47.8 (24.6min) fps ∼60{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    23.3 (15.6min) fps ∼29{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -51{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    21.1 (17min) fps ∼26{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -56{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    717.7 (559min) fps ∼98{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    681 (29.2min, 290P0.1, 486P1) fps ∼93{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -5{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (586 – 718, n=3) Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    617 (563min) fps ∼84{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -14{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    543 (483min, 483P1) fps ∼74{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -24{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    435 (372min) fps ∼59{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -39{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    386 (65.3min, 192.6P0.1, 276P1) fps ∼53{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -46{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Pulse GL76 12UGK
    Intel Core i7-12700H, NVIDIA GeForce RTX 3070 Laptop GPU




    377.1 (364min) fps ∼52{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -47{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Core 17 (Early 2021)
    Intel Core i7-10870H, NVIDIA GeForce RTX 3060 Laptop GPU




    302 (11.9min, 37.1P0.1, 159P1) fps ∼41{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -58{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M




    276.5 (260min) fps ∼38{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -61{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    617.3 (560min) fps ∼93{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (511 – 617, n=3) Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    554 (87.5min, 251P0.1, 376P1) fps ∼83{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -10{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    411 (335min, 342.98P1) fps ∼62{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -33{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    405.9 (371min) fps ∼61{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -34{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    335 (19.8min, 152.7P0.1, 234P1) fps ∼50{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -46{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    322 (271min) fps ∼48{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -48{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Pulse GL76 12UGK
    Intel Core i7-12700H, NVIDIA GeForce RTX 3070 Laptop GPU




    252.8 (224min) fps ∼38{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -59{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Core 17 (Early 2021)
    Intel Core i7-10870H, NVIDIA GeForce RTX 3060 Laptop GPU




    229 (68.3min, 99.8P0.1, 142P1) fps ∼34{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -63{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M




    217.4 (196min) fps ∼33{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -65{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU Average NVIDIA GeForce RTX 4090 Laptop GPU
      (361 – 449, n=4) Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    365 (68.6min, 182P0.1, 288P1) fps ∼60{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -19{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    260 (213min, 216.3P1) fps ∼42{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -42{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    240.9 (228min) fps ∼39{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -46{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    236 (30.3min, 70.5P0.1, 139.4P1) fps ∼38{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -47{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    206 (166min) fps ∼34{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -54{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI GS76 Stealth 11UH
    Intel Core i9-11900H, NVIDIA GeForce RTX 3080 Laptop GPU




    174 (141min) fps ∼28{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -61{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Pulse GL76 12UGK
    Intel Core i7-12700H, NVIDIA GeForce RTX 3070 Laptop GPU




    170.5 (159min) fps ∼28{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -62{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M




    167 (157min) fps ∼27{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -63{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Core 17 (Early 2021)
    Intel Core i7-10870H, NVIDIA GeForce RTX 3060 Laptop GPU




    144 (55.2min, 60.2P0.1, 99.7P1) fps ∼23{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -68{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    216.3 (204min) fps ∼69{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (178.6 – 216, n=6) Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    183 (62.1min, 107P0.1, 149P1) fps ∼58{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -15{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    129.3 (110min, 111.14P1) fps ∼41{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -40{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    121 (98min) fps ∼39{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -44{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    113.9 (110min) fps ∼36{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -47{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    104.7 (88min) fps ∼33{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -52{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI GS76 Stealth 11UH
    Intel Core i9-11900H, NVIDIA GeForce RTX 3080 Laptop GPU




    93.8 (75min) fps ∼30{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -57{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Pulse GL76 12UGK
    Intel Core i7-12700H, NVIDIA GeForce RTX 3070 Laptop GPU




    92.8 (88min) fps ∼30{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -57{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M




    90.1 (84min) fps ∼29{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -58{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Core 17 (Early 2021)
    Intel Core i7-10870H, NVIDIA GeForce RTX 3060 Laptop GPU




    79.5 (30.1min, 37.6P0.1, 42.6P1) fps ∼25{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -63{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    167.6 (147min) fps ∼59{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (137.1 – 167.6, n=3) Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    149 (41.5min, 102P0.1, 127P1) fps ∼53{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -11{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    90.5 (49.5min, 57.8P0.1, 75.3P1) fps ∼32{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -46{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    72.5 (66min) fps ∼26{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -57{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI GS76 Stealth 11UH
    Intel Core i9-11900H, NVIDIA GeForce RTX 3080 Laptop GPU




    66.7 (57min) fps ∼24{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -60{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    62.6 (55min) fps ∼22{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -63{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    187.6 (4.6min, 200P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} 0{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    187.5 (3.95min, 200P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (187.4 – 187.5, n=3) MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    187.1 (1.532min, 200P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} 0{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    187 (2.54min, 200P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} 0{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    186.1 (1.631min, 100P1) fps ∼99{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -1{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    186.1 (1.899min, 100P1) fps ∼99{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -1{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Pulse GL76 12UGK
    Intel Core i7-12700H, NVIDIA GeForce RTX 3070 Laptop GPU




    185.7 (1.866min, 142.9P1) fps ∼99{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -1{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    181.2 (3.86min, 125P1) fps ∼97{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -3{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Core 17 (Early 2021)
    Intel Core i7-10870H, NVIDIA GeForce RTX 3060 Laptop GPU




    179 (4.7min, 143P1) fps ∼95{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -5{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    187.6 (10.7min, 200P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} 0{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    187.5 (6.33min, 200P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} 0{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    187.4 (5.08min, 200P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (187 – 187.4, n=3) Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    187 (2.54min, 200P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} 0{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    187 (1.607min, 142.9P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} 0{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    187 (2.12min, 125P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} 0{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Pulse GL76 12UGK
    Intel Core i7-12700H, NVIDIA GeForce RTX 3070 Laptop GPU




    184.2 (2.2min, 142.9P1) fps ∼98{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -2{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    180.6 (3.65min, 142.9P1) fps ∼96{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -4{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Core 17 (Early 2021)
    Intel Core i7-10870H, NVIDIA GeForce RTX 3060 Laptop GPU




    175 (5.02min, 125P1) fps ∼93{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -7{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    187.6 (6.52min, 200P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} 0{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    187.2 (2.33min, 200P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    187 (2.6min, 167P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} 0{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    186.8 (1.467min, 166.7P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} 0{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (184.1 – 187.2, n=5) Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    184.7 (1.535min, 111.1P1) fps ∼98{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -1{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    184.7 (1.738min, 100P1) fps ∼98{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -1{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Pulse GL76 12UGK
    Intel Core i7-12700H, NVIDIA GeForce RTX 3070 Laptop GPU




    182.3 (2.68min, 142.9P1) fps ∼97{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -3{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    176.1 (4.27min, 125P1) fps ∼94{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -6{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Core 17 (Early 2021)
    Intel Core i7-10870H, NVIDIA GeForce RTX 3060 Laptop GPU




    172 (5.75min, 125P1) fps ∼92{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -8{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    187.6 (5.3min, 200P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} 0{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    187.4 (3.97min, 200P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    187 (10.6min, 200P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} 0{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (185.5 – 187.4, n=3) MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    185.9 (2.14min, 166.7P1) fps ∼99{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -1{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    185.7 (1.958min, 125P1) fps ∼99{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -1{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    185.5 (1.486min, 125P1) fps ∼99{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -1{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Pulse GL76 12UGK
    Intel Core i7-12700H, NVIDIA GeForce RTX 3070 Laptop GPU




    180 (3.5min, 142.9P1) fps ∼96{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -4{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    175.8 (3.84min, 111.1P1) fps ∼94{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -6{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Core 17 (Early 2021)
    Intel Core i7-10870H, NVIDIA GeForce RTX 3060 Laptop GPU




    168 (6.37min, 100P1) fps ∼90{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -10{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    187 (2.5min, 167P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} 0{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    187 (1.83min, 200P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} 0{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    186.5 (1.93min, 166.7P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (182.4 – 186.5, n=5) MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    182.7 (8.3min, 142.9P1) fps ∼98{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -2{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    181.6 (1.674min, 125P1) fps ∼97{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -3{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    180.2 (2.58min, 111.1P1) fps ∼96{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -3{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Pulse GL76 12UGK
    Intel Core i7-12700H, NVIDIA GeForce RTX 3070 Laptop GPU




    175.5 (3.74min, 125P1) fps ∼94{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -6{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI GS76 Stealth 11UH
    Intel Core i9-11900H, NVIDIA GeForce RTX 3080 Laptop GPU




    164 (5.22min, 100P1) fps ∼88{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -12{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    163.8 (4.96min, 100P1) fps ∼88{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -12{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Core 17 (Early 2021)
    Intel Core i7-10870H, NVIDIA GeForce RTX 3060 Laptop GPU




    150 (6.08min, 100P1) fps ∼80{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -20{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    165.9 (13.4min, 125P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +11{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    149.8 (3.08min, 111.1P1) fps ∼90{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    149 (8.57min, 100P1) fps ∼90{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -1{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (134 – 151.3, n=7) MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    131.8 (6.21min, 90.9P1) fps ∼79{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -12{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    121.4 (3.6min, 76.9P1) fps ∼73{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -19{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    112.1 (8min, 62.5P1) fps ∼68{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -25{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Pulse GL76 12UGK
    Intel Core i7-12700H, NVIDIA GeForce RTX 3070 Laptop GPU




    108.1 (4.6min, 76.9P1) fps ∼65{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -28{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    101.8 (18.4min, 71.4P1) fps ∼61{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -32{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI GS76 Stealth 11UH
    Intel Core i9-11900H, NVIDIA GeForce RTX 3080 Laptop GPU




    98.5 (17.3min, 62.5P1) fps ∼59{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -34{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Core 17 (Early 2021)
    Intel Core i7-10870H, NVIDIA GeForce RTX 3060 Laptop GPU




    86.9 (19.6min, 58.8P1) fps ∼52{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -42{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    166.3 (2.62min, 125P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +14{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    147 (3.77min, 111P1) fps ∼88{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} 0{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    146.3 (5.49min, 111.1P1) fps ∼88{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (123.8 – 146.3, n=6) Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    101.1 (9.21min, 71.4P1) fps ∼61{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -31{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    87.6 (4.62min, 55.6P1) fps ∼53{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -40{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    83 (5.89min, 45.5P1) fps ∼50{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -43{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI GS76 Stealth 11UH
    Intel Core i9-11900H, NVIDIA GeForce RTX 3080 Laptop GPU




    82.3 (16.3min, 58.8P1) fps ∼49{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -44{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Core 17 (Early 2021)
    Intel Core i7-10870H, NVIDIA GeForce RTX 3060 Laptop GPU




    74.3 (18.9min, 50P1) fps ∼45{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -49{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    137.7 (8.31min, 90.9P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +53{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    93.9 (4.79min, 71.4P1) fps ∼68{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +4{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    90 (3.39min, 58.8P1) fps ∼65{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (84.8 – 90, n=5) Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    38.2 (3.33min, 26.3P1) fps ∼28{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -58{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    37.5 (6.01min, 25.6P1) fps ∼27{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -58{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    180.2 (2.04min, 125P1) fps ∼96{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    180 (2.49min, 143P1) fps ∼96{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} 0{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (88.9 – 180.2, n=4) Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    121 (5.84min, 100P1) fps ∼65{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -33{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    88.5 (5.15min, 58.8P1) fps ∼47{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -51{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI GS76 Stealth 11UH
    Intel Core i9-11900H, NVIDIA GeForce RTX 3080 Laptop GPU




    86.5 (25.9min, 62.5P1) fps ∼46{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -52{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    82.1 (5.63min, 50P1) fps ∼44{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -54{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    287.9 (250.6min) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +18{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    243 (209.5min) fps ∼84{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    240.3 (211.7min) fps ∼83{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -1{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (192.9 – 243, n=9) Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    225 (190.1min) fps ∼78{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -7{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    204.5 (180.6min) fps ∼71{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -16{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    184.6 (158.4min) fps ∼64{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -24{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI GS76 Stealth 11UH
    Intel Core i9-11900H, NVIDIA GeForce RTX 3080 Laptop GPU




    175 (138.4min) fps ∼61{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -28{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Pulse GL76 12UGK
    Intel Core i7-12700H, NVIDIA GeForce RTX 3070 Laptop GPU




    168.1 (149.3min) fps ∼58{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -31{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    146.5 (129.8min) fps ∼51{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -40{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Core 17 (Early 2021)
    Intel Core i7-10870H, NVIDIA GeForce RTX 3060 Laptop GPU




    146 (127.7min) fps ∼51{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -40{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M




    141 (120min) fps ∼49{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -42{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    258.5 (226.5min) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +20{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    216 (187.8min) fps ∼84{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    214.8 (188.8min) fps ∼83{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -1{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (177.3 – 216, n=9) Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    200 (151.8min) fps ∼77{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -7{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    184.5 (162.7min) fps ∼71{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -15{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    171 (146.9min) fps ∼66{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -21{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI GS76 Stealth 11UH
    Intel Core i9-11900H, NVIDIA GeForce RTX 3080 Laptop GPU




    155 (134.6min) fps ∼60{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -28{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Pulse GL76 12UGK
    Intel Core i7-12700H, NVIDIA GeForce RTX 3070 Laptop GPU




    152.1 (134.4min) fps ∼59{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -30{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Core 17 (Early 2021)
    Intel Core i7-10870H, NVIDIA GeForce RTX 3060 Laptop GPU




    136 (116.3min) fps ∼53{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -37{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    133.9 (118.9min) fps ∼52{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -38{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M




    130.7 (107.5min) fps ∼51{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -39{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    256.3 (217.1min) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +25{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    207.6 (181.1min) fps ∼81{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +1{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU Average NVIDIA GeForce RTX 4090 Laptop GPU
      (169.9 – 205, n=9) Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    191 (165.9min) fps ∼75{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -7{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    179.8 (156.7min) fps ∼70{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -12{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    164.1 (140.2min) fps ∼64{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -20{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI GS76 Stealth 11UH
    Intel Core i9-11900H, NVIDIA GeForce RTX 3080 Laptop GPU




    146 (120.5min) fps ∼57{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -29{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Pulse GL76 12UGK
    Intel Core i7-12700H, NVIDIA GeForce RTX 3070 Laptop GPU




    141.2 (123.5min) fps ∼55{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -31{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    129.3 (113min) fps ∼50{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -37{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Core 17 (Early 2021)
    Intel Core i7-10870H, NVIDIA GeForce RTX 3060 Laptop GPU




    124 (108min) fps ∼48{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -40{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M




    118 (102.7min) fps ∼46{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -42{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    219.7 (186.7min) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +14{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    196.1 (169.6min) fps ∼89{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +2{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    192.5 (164.4min) fps ∼88{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (160.7 – 192.5, n=9) Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    178.6 (153.9min) fps ∼81{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -7{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    170.5 (148.2min) fps ∼78{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -11{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    156.3 (132.3min) fps ∼71{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -19{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Pulse GL76 12UGK
    Intel Core i7-12700H, NVIDIA GeForce RTX 3070 Laptop GPU




    132.8 (116.8min) fps ∼60{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -31{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI GS76 Stealth 11UH
    Intel Core i9-11900H, NVIDIA GeForce RTX 3080 Laptop GPU




    131 (113.6min) fps ∼60{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -32{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    121.4 (106.8min) fps ∼55{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -37{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Core 17 (Early 2021)
    Intel Core i7-10870H, NVIDIA GeForce RTX 3060 Laptop GPU




    118 (102.7min) fps ∼54{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -39{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M




    100 (82.7min) fps ∼46{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -48{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    226.8 (185.7min) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +21{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    191.5 (161.9min) fps ∼84{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +3{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    186.7 (156.9min) fps ∼82{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (161.9 – 186.7, n=6) Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    145.5 (109.1min) fps ∼64{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -22{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    126 (105.9min) fps ∼56{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -33{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    122.7 (106.5min) fps ∼54{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -34{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI GS76 Stealth 11UH
    Intel Core i9-11900H, NVIDIA GeForce RTX 3080 Laptop GPU




    110 (8.5min) fps ∼49{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -41{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU Average NVIDIA GeForce RTX 4090 Laptop GPU
      (224 – 233, n=4) MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU MSI Pulse GL76 12UGK
    Intel Core i7-12700H, NVIDIA GeForce RTX 3070 Laptop GPU HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M Schenker XMG Core 17 (Early 2021)
    Intel Core i7-10870H, NVIDIA GeForce RTX 3060 Laptop GPU Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti Average NVIDIA GeForce RTX 4090 Laptop GPU
      (207 – 230, n=5) MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU MSI Pulse GL76 12UGK
    Intel Core i7-12700H, NVIDIA GeForce RTX 3070 Laptop GPU HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M Schenker XMG Core 17 (Early 2021)
    Intel Core i7-10870H, NVIDIA GeForce RTX 3060 Laptop GPU Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU Average NVIDIA GeForce RTX 4090 Laptop GPU
      (167.5 – 194.9, n=7) Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU MSI Pulse GL76 12UGK
    Intel Core i7-12700H, NVIDIA GeForce RTX 3070 Laptop GPU MSI GS76 Stealth 11UH
    Intel Core i9-11900H, NVIDIA GeForce RTX 3080 Laptop GPU




    88 (56min) fps ∼39{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -55{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M Schenker XMG Core 17 (Early 2021)
    Intel Core i7-10870H, NVIDIA GeForce RTX 3060 Laptop GPU Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU Average NVIDIA GeForce RTX 4090 Laptop GPU
      (136.8 – 162.9, n=7) Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU MSI GS76 Stealth 11UH
    Intel Core i9-11900H, NVIDIA GeForce RTX 3080 Laptop GPU




    71.2 (44min) fps ∼32{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -55{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU Schenker XMG Core 17 (Early 2021)
    Intel Core i7-10870H, NVIDIA GeForce RTX 3060 Laptop GPU Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Average NVIDIA GeForce RTX 4090 Laptop GPU
      (90.1 – 94.7, n=4) Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU MSI GS76 Stealth 11UH
    Intel Core i9-11900H, NVIDIA GeForce RTX 3080 Laptop GPU




    42.9 (27min) fps ∼28{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -53{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU
    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU Average NVIDIA GeForce RTX 4090 Laptop GPU
      (168 – 212, n=13) MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU MSI Pulse GL76 12UGK
    Intel Core i7-12700H, NVIDIA GeForce RTX 3070 Laptop GPU MSI GS76 Stealth 11UH
    Intel Core i9-11900H, NVIDIA GeForce RTX 3080 Laptop GPU Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU Schenker XMG Core 17 (Early 2021)
    Intel Core i7-10870H, NVIDIA GeForce RTX 3060 Laptop GPU HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti Average NVIDIA GeForce RTX 4090 Laptop GPU
      (154.7 – 188.8, n=13) MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU MSI Pulse GL76 12UGK
    Intel Core i7-12700H, NVIDIA GeForce RTX 3070 Laptop GPU MSI GS76 Stealth 11UH
    Intel Core i9-11900H, NVIDIA GeForce RTX 3080 Laptop GPU Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU Schenker XMG Core 17 (Early 2021)
    Intel Core i7-10870H, NVIDIA GeForce RTX 3060 Laptop GPU HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti Average NVIDIA GeForce RTX 4090 Laptop GPU
      (116.4 – 146.4, n=13) MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU MSI Pulse GL76 12UGK
    Intel Core i7-12700H, NVIDIA GeForce RTX 3070 Laptop GPU MSI GS76 Stealth 11UH
    Intel Core i9-11900H, NVIDIA GeForce RTX 3080 Laptop GPU Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU Schenker XMG Core 17 (Early 2021)
    Intel Core i7-10870H, NVIDIA GeForce RTX 3060 Laptop GPU HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU Average NVIDIA GeForce RTX 4090 Laptop GPU
      (114.1 – 124.7, n=5) Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU MSI GS76 Stealth 11UH
    Intel Core i9-11900H, NVIDIA GeForce RTX 3080 Laptop GPU
    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    260 (113.43min) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +8{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    258 (138.39min) fps ∼99{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +7{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    240.1 (124.4min) fps ∼92{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (204 – 240, n=2) Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    208.9 (108.8min) fps ∼80{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -13{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    172.4 (94.53min) fps ∼66{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -28{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M




    138.8 (103.8min) fps ∼53{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -42{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    235 (112.44min) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +13{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    212 (90.52min) fps ∼90{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +2{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    207.1 (106.2min) fps ∼88{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (183 – 207, n=2) Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    139.8 (62.8min) fps ∼59{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -32{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    134.4 (54.39min) fps ∼57{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -35{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M




    111.5 (56min) fps ∼47{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -46{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    191.9 (91.79min) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +10{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    169 (76.59min) fps ∼88{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -3{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (153 – 173.8, n=2) Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    109.7 (54.8min) fps ∼57{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -37{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    108.6 (48.9min) fps ∼57{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -38{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M




    81 (43min) fps ∼42{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -53{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    177.3 (82.92min) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +21{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    146.5 (72.2min) fps ∼83{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    137 (66.86min) fps ∼77{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -6{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (131.5 – 146.5, n=3) Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    88.1 (42.14min) fps ∼50{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -40{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    86.8 (45.8min) fps ∼49{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -41{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    74.3 (37.14min) fps ∼42{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -49{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M




    65.8 (37.7min) fps ∼37{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -55{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    165 (77.05min) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +29{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    127.7 (63.9min) fps ∼77{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (116 – 127.7, n=3) Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    113 (60.76min) fps ∼68{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -12{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    73.2 (39.18min) fps ∼44{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -43{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    69 (39.5min) fps ∼42{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -46{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    59 (32.33min) fps ∼36{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -54{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    136.3 (72.34min) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +66{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (81 – 84, n=3) Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    82.1 (51.4min) fps ∼60{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    75 (46.62min) fps ∼55{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -9{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    47.6 (28.52min) fps ∼35{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -42{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    44 (27.9min) fps ∼32{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -46{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    36.8 (22.74min) fps ∼27{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -55{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    129.6 (73.7min) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +9{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    118.8 (61.4min) fps ∼92{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti




    116 (60.79min) fps ∼90{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -2{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (101.3 – 118.8, n=3) Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    77.9 (40.97min) fps ∼60{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -34{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU




    74.4 (41.8min) fps ∼57{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -37{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    63.2 (32.95min) fps ∼49{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -47{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Average NVIDIA GeForce RTX 4090 Laptop GPU
      (201 – 284, n=2) Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M Average NVIDIA GeForce RTX 4090 Laptop GPU
      Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU Average NVIDIA GeForce RTX 4090 Laptop GPU
      (176 – 270, n=2) Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU Average NVIDIA GeForce RTX 4090 Laptop GPU
      (162 – 239, n=2) Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU Average NVIDIA GeForce RTX 4090 Laptop GPU
      (151 – 179.7, n=3) Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Average NVIDIA GeForce RTX 4090 Laptop GPU
      (129.4 – 132.3, n=3) Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090 Average NVIDIA GeForce RTX 4090 Laptop GPU
      (70.5 – 76, n=3) Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU Corsair One i300
    Intel Core i9-12900K, NVIDIA GeForce RTX 3080 Ti Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU Razer Blade 18 RTX 4070
    Intel Core i9-13950HX, NVIDIA GeForce RTX 4070 Laptop GPU
    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    466 (351min, 294P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +6{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    440 (321min, 272P1) fps ∼94{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (393 – 440, n=2) MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    317 (235min, 194P1) fps ∼68{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -28{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    283 (233min, 46P1) fps ∼61{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -36{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M




    264 (193min, 169P1) fps ∼57{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -40{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    415 (291min, 220P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +11{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    375 (257min, 207P1) fps ∼90{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (303 – 375, n=4) MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    247 (179min, 135P1) fps ∼60{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -34{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    226 (185min, 61P1) fps ∼54{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -40{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M




    217 (166min, 135P1) fps ∼52{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -42{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    377 (273min, 214P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +5{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    358 (243min, 204P1) fps ∼95{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (286 – 358, n=4) MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    240 (188min, 131P1) fps ∼64{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -33{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    227 (151min, 57P1) fps ∼60{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -37{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M




    215 (159min, 131P1) fps ∼57{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -40{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    364 (262min, 204P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +13{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    322 (217min, 181P1) fps ∼88{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (265 – 322, n=4) MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    196.5 (145min, 38P1) fps ∼54{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -39{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    179.2 (145min, 66P1) fps ∼49{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -44{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M




    178.2 (151min, 121P1) fps ∼49{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -45{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    195.4 (165min, 131P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +39{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    140.6 (123min, 97P1) fps ∼72{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (114.3 – 140.6, n=5) Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU MSI Titan GT77 12UHS
    Intel Core i9-12900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU




    79.8 (65min, 29P1) fps ∼41{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -43{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    65.4 (52min, 44P1) fps ∼33{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -53{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    HP Omen 16-n0033dx
    AMD Ryzen 7 6800H, AMD Radeon RX 6650M




    40.6 (31min, 31P1) fps ∼21{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -71{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    149.7 (129min, 104P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +63{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    91.8 (78min, 74P1) fps ∼61{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (75 – 91.8, n=5) Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    41 (35min, 33P1) fps ∼27{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -55{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Schenker XMG SECTOR, i9 13900K, RTX 4090
    Intel Core i9-13900K, NVIDIA GeForce RTX 4090




    81.1 (71min, 70P1) fps ∼100{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} +79{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Eluktronics Mech-17 GP2
    Intel Core i9-13900HX, NVIDIA GeForce RTX 4090 Laptop GPU




    45.3 (39min, 37P1) fps ∼56{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Average NVIDIA GeForce RTX 4090 Laptop GPU
      (42.4 – 45.3, n=4) Schenker XMG Neo 17 M22
    AMD Ryzen 9 6900HX, NVIDIA GeForce RTX 3080 Ti Laptop GPU MSI Katana 17 B13VFK
    Intel Core i7-13620H, NVIDIA GeForce RTX 4060 Laptop GPU




    19.7 (17min, 16P1) fps ∼24{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1} -57{b7c9e2c88beb1a84f22d94ab877a147f4adc4b3519717f3f957a0f34e16918d1}

    Posted on

    Designers are using ChatGPT and DALL-E to fast track projects

    Designers are using ChatGPT and DALL-E to fast track projects

    3D image on left, rendered version using AI on right.

    3D picture on remaining, rendered version making use of AI on suitable.
    Graphic: Domestic Facts Streamers

    Designer Pau Garcia has been tinkering with synthetic intelligence for the previous a number of several years. An early person of OpenAI, a startup that popularized generative AI, he said he was in the beginning intrigued by AI, but didn’t expect it to enjoy considerably of a function in his entire world.

    “I was always told that the creative marketplace will be the last to be prevail over by robots,” said Garcia, who co-founded the Barcelona design and style business Domestic Info Streamers in 2003. “But at the exact time, I was definitely curious.”

    Then, perusing the web just one day, he came throughout a script of an episode for the display Rick and Morty that experienced been prepared by OpenAI’s big language products. That minute improved almost everything. “At that stage, I mentioned, ‘Ok, this is incredibly near to what I’m executing,’” he said. That sparked his journey into designing with AI generative equipment like ChatGPT and DALL-E .

    Garcia was in advance of the curve. Domestic Knowledge Streamers is just 1 of several businesses that has been partaking with generative AI—the expression for technology that generates new written content like text, visuals, code. Behind these far more sophisticated variations of AI are startups like OpenAI and Stability AI, the latter of which makes the generative AI tool Stable Diffusion, as properly as larger tech companies like Microsoft and Google.

    Domestic Details Streamers gives innovative services to purchasers that involve the Globe Bank and the United Nations, charging in between 70,000 euros ($74,890) and 250,000 euros ($263,890) for every venture. In the previous yr, the company has been working with generative AI in work for consumers ranging from a European information outlet to a jail in Italy.

    G/O Media might get a fee

    So, how does the enterprise use AI?

    Experimenting with ChatGPT and DALL-E

    Above a Google Satisfies chat, Garcia pulled up an Excel spreadsheet exhibiting summaries of various initiatives. To jumpstart the brainstorming course of action on proposals from customers, Garcia can enter keywords—“climate change” or “sports,” for instance—into a Google Docs variety. From there, the functions he built on ChatGPT spit out quotes from authorities on the given subjects into the spreadsheet.

    Research for a undertaking commonly usually takes about two weeks, but ChatGPT can lower that time body in fifty percent, said Garcia. Above the earlier six months, he has been educating his much more than two dozen personnel on how they can experiment and use ChatGPT and DALL-E in their methodologies.

    Whilst Garcia is brief to acknowledge he is an optimist, he understands why a pessimistic particular person could see generative AI in motion and presume they are about to be out of a task. But he suggests that the facts it generates requires to be reality-checked, a thing that he’s absolutely sure to remind his workforce of frequently.

    “It’s irresponsible to use this technological know-how without having comprehension that it tends to hallucinate and lie,” he says. He provides that his agency has also implemented self-produced Chrome integrations that discover the supply of the product on the Internet.

    A chart on the five leading oil producers of the world that uses AI

    A chart on the five primary oil producers of the planet, which was made working with AI
    Graphic: Domestic Facts Streamers

    AI equipment will adjust how we get the job done

    Just lately, Garcia chatted with the soccer club FC Barcelona, which was curious about utilizing AI to produce an advertisement. But when Garcia discussed how the language models at the rear of generative AI equipment like ChatGPT and DALL-E are trained on photos from the world-wide-web, some of which may perhaps be beneath copyright, the staff turned hesitant.

    Their trepidation is justified: In January, a group of artists submitted a lawsuit in opposition to the generative AI makers Security AI and Midjourney above the scraping of billions of pictures with no consent for their products.

    Even now, interest is superior. Due to the fact Garcia took to Medium to create and publish posts on AI usage in artistic industries past year, company has been booming, with Domestic Info Streamers now getting 5 times as numerous cellular phone phone calls as it did 6 months in the past.

    Garcia believes the sudden inflow of desire in his organization is driven mostly by the worry of missing out. He says that providers are energized about this new AI and want to be capable to say that they utilised it in their jobs, even if using it does not transform the end final result all that considerably.

    “We are in this lovely second, and we are collectively discovering a new technology that evidently will improve a large amount of issues,” he suggests. “But it’s time to get started contemplating, okay, but why? If synthetic intelligence is the remedy, what is the query?”