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Browser-based AI tests in WebXPRT 4: face detection and image classification

Justin Greene
By Justin Greene
on June 5, 2025

I recently revisited an XPRT blog entry that we posted from CES Las Vegas back in 2020. In that post, I reflected on the show’s expanded AI emphasis, and I wondered if we were reaching a tipping point where AI-enhanced and AI-driven tools and applications would become a significant presence in people’s daily lives. It felt like we were approaching that point back then with the prevalence of AI-powered features such as image enhancement and text recommendation, among many others. Now, seamless AI integration with common online tasks has become so widespread that many people unknowingly benefit from AI interactions several times a day.

As AI’s role in areas like everyday browser activity continues to grow—along with our expectations for what our consumer devices should be able to handle—reliable AI-oriented benchmarking is more vital than ever. We need objective performance data that can help us understand how well a new desktop, laptop, tablet, or phone will handle AI tasks.

WebXPRT 4 already includes timed AI tasks in two of its workloads: the “Organize Album using AI” workload and the “Encrypt Notes and OCR Scan” workload. These two workloads reflect the types of light browser-side inference tasks that are now fairly common in consumer-oriented web apps and extensions. In today’s post, we’ll provide some technical information about the Organize Album workload. In a future post, we’ll do the same for the Encrypt Notes workload.

The Organize Album workload includes two different timed tasks that reflect a common scenario of organizing online photo albums. The workload utilizes the AI inference and JavaScript capabilities of the WebAssembly (Wasm) version of OpenCV.js—an open-source computer vision and machine learning library. In WebXPRT 4, we used OpenCV.js version 4.5.2.

Here are the details for each task:

  • The first task measures the time it takes to complete a face detection job with a set of five 720 x 480 photos that we sourced from commercial photo sites. The workload loads a Caffe deep learning framework model (res10_300x300_ssd_iter_140000_fp16.caffemodel) using the commands found here. 
  • The second task measures the time it takes to complete an image classification job (labeling based on object detection) with a different set of five 718 x 480 photos that we sourced from the ImageNet computer vision dataset. The workload loads an ONNX-based SqueezeNet machine learning model (squeezenet.onnx v 1.0) using the commands found here.

To produce a score for each iteration of the workload, WebXPRT calculates the total time that it takes for a system to organize both albums. In a standard test, WebXPRT runs seven iterations of the entire six-workload performance suite before calculating an overall test score. You can find out more about the WebXPRT results calculation process here.

We hope this post will give you a better sense of how WebXPRT 4 measures one kind of AI performance. As a reminder, if you want to dig into the details at a more granular level, you can access the WebXPRT 4 source code for free. In previous blog posts, you can find information about how to access and use the code. You can also read more about WebXPRT’s overall structure and other workloads in the Exploring WebXPRT 4 white paper.

If you have any questions about this workload or any other aspect of WebXPRT 4, please let us know!

Justin

Posted in AI, benchmark, Benchmark metrics, Benchmarking, Benchmarking computing devices, BenchmarkXPRT, browser performance, Browser-based benchmarks, Caffe, CES, Collaborative benchmark development, computer vision, Consumer Electronics Show, Cross-platform benchmarks, face detection, image classification, ImageNet, inference, JavaScript, Las Vegas, object detection, OCR, On-premise, ONNX Runtime Web, Performance benchmarking, SqueezeNet, Wasm, WebAssembly, WebXPRT, WebXPRT 4 | Also tagged , , , , , , , , , , , , , ,

Recent XPRT mentions in articles, reviews, and more!

Justin Greene
By Justin Greene
on April 10, 2025

Here at the XPRTs, our primary goal is to provide free, easy-to-use benchmark tools that can help everyone—from OEM labs to tech press journalists to individual consumers—understand how well devices will perform while completing everyday computing tasks. We track progress toward that goal in several ways, but one of the most important is how much people use and discuss the XPRTs. When the name of one of our apps appears in an ad, article, or tech review, we call it a “mention.” Tracking mentions helps us gauge our reach.

We occasionally like to share a sample of recent XPRT mentions here in the blog. If you just started following the XPRTs, it may be surprising to see our program’s global reach. If you’re a longtime reader and you’re used to seeing WebXPRT or CrXPRT in major tech press articles, it may be surprising to learn more about overseas tech press publications or see how some government agencies use the XPRTs to make decisions. In any case, we hope you’ll enjoy exploring the links below!

Recent mentions include:

If you’d like to receive monthly updates on XPRT-related news and activity, we encourage you to sign up for the BenchmarkXPRT Development Community newsletter. It’s completely free, and all you need to do to join the newsletter mailing list is let us know! We won’t publish, share, or sell any of the contact information you provide, and we’ll only send you the monthly newsletter and occasional benchmark-related announcements, such as important news about patches or releases.

If you have any questions about the XPRTs, suggestions, or requests for future blog topics, please feel free to contact us.

Justin

Posted in AI, benchmark, Benchmarking, BenchmarkXPRT, BenchmarkXPRT development community, Chromebooks, CrXPRT, Dell, iPhone, Laptops, Simplified Chinese, WebXPRT, WebXPRT 4 | Also tagged , , , , , , , , , , , , , , , ,

Archiving AIXPRT and CloudXPRT

Justin Greene
By Justin Greene
on March 13, 2025

Some of our readers have been following the XPRTs since the early days, and they may remember using legacy versions of benchmarks such as HDXPRT 2014 or WebXPRT 2013. For many years, whenever we released a new version of a benchmark, we would maintain a link to the previous version on the benchmark’s main page. However, as interest in the older versions understandably waned and we stopped formally supporting them, many of those legacy XPRTs stopped working on the latest versions of the operating systems or browsers that we designed them to test. While we wanted to continue to provide a way for users to access those legacy XPRTs, we also wanted to avoid potential confusion for new users who might see links to old versions on our site. We decided that the best solution was to archive older tests in a separate section of the site—the XPRT archive.

Recently, as we discussed XPRT plans for 2025, it became clear that we needed to add AIXPRT and CloudXPRT to the archive. Both benchmarks represent landmark efforts toward our ongoing goal of providing cutting-edge performance assessment tools, but even though a few tech press publications and OEM labs experimented with them, neither benchmark gained enough widespread adoption to justify their continued support. As a result, we decided to focus our resources elsewhere and halt development on both benchmarks. Since then, ongoing updates to their respective software components and target platforms have rendered them largely unusable. By archiving both benchmarks, we hope to avoid any future confusion for visitors who may otherwise try to use them.

Over the coming weeks, we’ll be moving the AIXPRT and CloudXPRT installation packages to the XPRT archive page. We’re grateful to everyone who has used AIXPRT and CloudXPRT in the past, and we apologize for any inconvenience this change may cause.

If you have any questions or concerns about access to either of these benchmarks—or about anything else related to the XPRTs, please let us know! 

Justin

Posted in AI, AIXPRT, Battery life, benchmark, Benchmarking, BenchmarkXPRT, BenchmarkXPRT development community, Cloud, CloudXPRT, Cross-platform benchmarks, HDXPRT, HDXPRT 2014, History of benchmarking, Performance benchmarking, WebXPRT, What makes a good benchmark? | Also tagged , , , , , , , ,

Check out the new XPRTs around the world infographic!

Justin Greene
By Justin Greene
on January 30, 2025

As we look forward to continued growth for the XPRTs in 2025, it’s also a fitting time to take stock of just how much their reach has already grown around the globe. In the marketing world, reach is often defined as the size of the audience that sees and/or engages with your content. We track XPRT reach with several metrics—including completed test runs, benchmark downloads, and mentions of the XPRTs in advertisements, articles, and tech reviews. Gathering this information gives us insight into how many people are using the XPRTs, and it provides a sense of the impact the XPRTs are having around the world. It also helps us understand the needs of those who use them.

From time to time, we publish an updated version of an “XPRTs around the world” infographic, which features highlights from the reach metrics we track. This week, we published a new version of the infographic that includes the following highlights:

  • Over 4,100 unique sites have collectively mentioned the XPRTs more than 20,500 times.
  • Those mentions include more than 12,900 tech articles and reviews.
  • XPRT tech press mentions and test runs have originated in over 983 cities located in 84 countries on six continents. New cities of note include San Salvador, El Salvador; Salamanca, Mexico; Fes, Morocco; Wanaka, New Zealand; and Luzern, Switzerland.

In addition to the reach metrics we mention above, the XPRTs have now delivered more than 2,020,000 real-world results! We’re grateful for everyone who’s used the XPRTs and has spread the word to others. Your active involvement makes it possible for us to achieve our overall goals: to provide benchmark tools that are reliable, relevant, free, and simple to use.

Justin

Posted in BenchmarkXPRT, BenchmarkXPRT development community, tech press, WebXPRT, WebXPRT 4 | Also tagged , , , , , , ,

The XPRTs: What would you like to see in 2025?

Justin Greene
By Justin Greene
on December 19, 2024

If you’re a new follower of the XPRT family of benchmarks, you may not be aware of one of the characteristics of the XPRTs that sets them apart from many benchmarking efforts—our openness and commitment to valuing the feedback of tech journalists, lab engineers, and anyone else that uses the XPRTs on a regular basis. That feedback helps us to ensure that as the XPRTs grow and evolve, the resources we offer will continue to meet the needs of those that use them.

In the past, user feedback has influenced specific aspects of our benchmarks, such as the length of test runs, UI features, results presentation, and the addition or subtraction of specific workloads. More broadly, we have also received suggestions for entirely new XPRTs and ways we might target emerging technologies or industry use cases.

As we look forward to what’s in store for the XPRTs in 2025, we’d love to hear your ideas about new XPRTs—or new features for existing XPRTs. Are you aware of hardware form factors, software platforms, new technologies, or prominent applications that are difficult or impossible to evaluate using existing performance benchmarks? Should we incorporate additional or different technologies into existing XPRTs through new workloads? Do you have suggestions for ways to improve any of the XPRTs or XPRT-related tools, such as results viewers?

We’re especially interested in your thoughts about the next steps for WebXPRT. If our recent blog posts about the potential addition of an AI-focused auxiliary workload, what a WebXPRT battery life test would entail, or possible WebAssembly-based test scenarios have piqued your interest, we’d love to hear your thoughts!

We’re genuinely interested in your answers to these questions and any other ideas you have, so please feel free to contact us. We look forward to hearing your thoughts and working together to figure out how they could help shape the XPRTs in 2025!

Justin

Posted in AI, Battery life, benchmark, BenchmarkXPRT, browser performance, Collaborative benchmark development, Future of performance evaluation, Performance benchmarking, WebXPRT, WebXPRT 4, What makes a good benchmark? | Also tagged , , , , , , , , , ,

More than two million XPRT benchmark runs and downloads!

Justin Greene
By Justin Greene
on December 5, 2024

As we near the end of 2024, we’re excited to share that the XPRTs have passed another notable milestone—over 2,000,000 combined runs and downloads! The rate of growth in the total number of XPRT runs and downloads is exciting. It took about seven and a half years for the XPRTs to pass one million total runs and downloads—but it’s taken less than half that, three and a half years, to add another million. Figure 1 shows the climb to the two-million-run mark.

Figure 1: The cumulative number of total yearly XPRT runs and downloads over time.

As you would expect, most of the runs contributing to that total come from WebXPRT tests. If you’ve run WebXPRT in any of the 983 cities and 84 countries from which we’ve received completed test data—including newcomers El Salvador, Malaysia, Morocco, and Saudi Arabia—we’re grateful for your help in reaching this milestone! As Figure 2 illustrates, WebXPRT use has grown steadily since the debut of WebXPRT 2013. On average, we now record more than twice as many WebXPRT runs each month than we recorded in WebXPRT’s entire first year. With over 340,000 runs so far in 2024—an increase of more than 16 percent over last year’s total—that growth is showing no signs of slowing down.

Figure 2: The cumulative number of total yearly WebXPRT runs over time.

This milestone isn’t just about numbers. Establishing and maintaining a presence in the industry and experiencing year-over-year growth requires more than technical know-how and marketing efforts. It requires the ongoing trust and support of the benchmarking community—including OEM labs, the tech press, and independent computer enthusiasts—and those who simply want to know how good their devices are at web browsing.

Once again, we’re thankful for the support of everyone who’s used the XPRTs over the years, and we look forward to another million!

If you have any questions or comments about any of the XPRTs, we’d love to hear from you!

Justin

Posted in AIXPRT, benchmark, Benchmarking, BenchmarkXPRT, browser performance, Browser-based benchmarks, CloudXPRT, Collaborative benchmark development, Cross-platform benchmarks, CrXPRT, HDXPRT, MobileXPRT, Performance benchmarking, TouchXPRT, WebXPRT, WebXPRT 2013, WebXPRT 4 | Also tagged , , , , , , , , , , , , , , , , , , , ,

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