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WebXPRT 5 is live!

Justin Greene
By Justin Greene
on February 26, 2026

The big day has finally arrived—WebXPRT 5 is now available!

You can access the benchmark at WebXPRT.com or WebXPRT5.com. For longtime WebXPRT users, the WebXPRT 5 UI will have an all-new look but a very familiar feel. The general process for kicking off both manual and automated tests is the same as with WebXPRT 4, so the transition to WebXPRT 5 testing will be straightforward. For legacy testing purposes, we will continue to make WebXPRT 4 available on our site.

Here is a quick overview of the differences between WebXPRT 4 and WebXPRT 5:

General changes

  • We’ve updated the aesthetics of the WebXPRT UI to make WebXPRT 5 visually distinct from older versions. We did not significantly change the flow of the UI.
  • We’ve updated content in some of the workloads to reflect changes in everyday technology, such as upgrading most of the photos in the photo processing workloads to higher resolutions.
  • We’ve updated the base calibration system for score calculations and adjusted the scoring scale. WebXPRT 5 scores will be in a lower numerical range than WebXPRT 4 scores. You should not compare these results to scores from previous versions of WebXPRT.

The workloads

WebXPRT 5 includes the following seven workloads:

  • Video Background Blur with AI. Blurs the background of a video call using an AI-powered segmentation model.
  • Photo Effects. Applies a filter to six photos using the Canvas API.
  • Detect Faces with AI. Detects faces and organizes photos in an album using computer vision (OpenCV.js with Caffe Model).
  • Image Classification with AI. Labels images in an album using machine learning (OpenCV.js and ML Classify with the SqueezeNet model).
  • Document Scan with AI. Scans a document image and converts it to text using ML-based OCR (Wasm with LSTM).
  • School Science Project. Processes a DNA sequencing task using Regex and String manipulation.
  • Homework Spellcheck. Spellchecks a document using Typo.js and Web Workers.

We’re thankful for all of the feedback we received during the WebXPRT 5 development process and Preview period, and we look forward to seeing your WebXPRT 5 results. If you have any questions about WebXPRT, please feel free to contact us!

Justin

Posted in AI, benchmark, Benchmarking, BenchmarkXPRT, BenchmarkXPRT development community, browser performance, Browser-based benchmarks, Caffe, Cross-platform benchmarks, face detection, Future of performance evaluation, HTML5, image classification, image processing, inference, JavaScript, Machine learning, object detection, on-device AI, ONNX Runtime Web, Performance benchmarking, results, results submission, SqueezeNet, Wasm, WebAssembly, WebXPRT, WebXPRT 4, WebXPRT 5 | Also tagged , , , , , , , , , , , , , , , , , , , , , , ,

The WebXPRT 5 Preview is here!

Justin Greene
By Justin Greene
on December 16, 2025

We’re excited to announce that the WebXPRT 5 Preview is now available!

The Preview is available to everyone. You can access it at www.WebXPRT5.com or through a link on WebXPRT.com.

You are free to publish scores from testing with this Preview build; in fact, we encourage it. We want to know how it is performing for you, so we love to see both test scores and any feedback you would like to give.

We may still tweak a few things in the benchmark between this Preview and the final release. We plan to limit any potential changes, however, to areas like the UI and other features, things we do not expect to affect test scores.

Longtime WebXPRT users will notice that while the WebXPRT 5 Preview UI has a new look and feel, the basic layout has not changed. The general process for kicking off both manual and automated tests is the same as with WebXPRT 4, so the transition from WebXPRT 4 to WebXPRT 5 testing should be straightforward.

We also encourage you to check out our recent XPRT blog post on the WebXPRT 5 workload lineup for more details about what’s new in the Preview release—including more AI-oriented scenarios than ever before!

After you try the WebXPRT 5 Preview, please send us your comments. Thanks, and happy testing!

Justin

Posted in AI, Automation, benchmark, Benchmarking, BenchmarkXPRT, browser performance, Browser-based benchmarks, Collaborative benchmark development, Future of performance evaluation, Performance benchmarking, Web-based testing, WebXPRT, WebXPRT 4, WebXPRT 5 | Also tagged , , , , , , , , ,

WebXPRT 5: Starting to assemble the pieces

Justin Greene
By Justin Greene
on November 6, 2025

In our last blog post, we shared the exciting news that we’re currently working on WebXPRT 5. In that post, we described some of the ways that WebXPRT may evolve with the release of WebXPRT 5. In today’s post, we’ll revisit some of the points of emphasis from the last post and focus on potential workload changes in a bit more detail.

With any benchmark development project, there are always technical challenges you need to iron out. That is especially true with a cross-platform, browser-based benchmark like WebXPRT. Because we’re in the middle of exploring the technical feasibility of a few of the options we’ll mention, we’re not yet ready to say for certain that all these features will be available in the initial WebXPRT 5 release. We can, however, now paint a clearer picture of the overall direction we’re headed.

In the section below, you’ll find updated info on where we stand with respect to some of the key development focal points we discussed in our last post. If there’s an item from that post or previous posts that we didn’t mention below—such as updating the test harness—it doesn’t mean that we’re dropping that goal. We’re just focusing on workloads today.

One of our key goals with WebXPRT 5 is providing more AI-related workloads. In past blog posts, we’ve discussed the growing importance of local, browser-side AI. With WebXPRT 5, we’re investigating two ways that we can expand WebXPRT’s AI portfolio: 1) updating existing WebXPRT 4 AI-oriented workloads, and 2) adding all-new AI workloads.

Here are some possible ways those AI-related changes may play out in both categories:

Updating existing WebXPRT 4 AI-oriented workloads

  • Splitting the existing Organize Album using AI workload’s timed tasks—face detection and image classification—into two independent workloads.
  • Updating the face detection and image classification tasks with the latest versions of the OpenCV.js computer vision and machine learning libraries.
  • Updating the Caffe deep learning framework for the face detection task.
  • Updating the ONNX-based SqueezeNet machine learning model for the image classification tasks.
  • Updating the version of the Tesseract.js OCR engine that WebXPRT uses in the Encrypt Notes and OCR Scan workload. 

Potentially adding all-new AI workloads (either core or experimental workloads)

  • We’re exploring the idea of including a workload that uses an AI-powered segmentation model to blur the background of a video call.
  • We’re exploring the feasibility of including a local LLM chat workload.
  • We would eventually like to include a WebGPU-based web AI framework for a computer vision workload.

In addition to the goal of adding more AI, we previously discussed the possibility of adding non-AI WebGPU workloads. As a web API, WebGPU enables web-based applications—such as image-based GenAI and inference workloads—to directly access the graphics rendering and computational capabilities of a system’s GPU. In the future, WebXPRT 5 could use that technology to execute complex 3D rendering workloads.

We hope today’s post gives you a better sense of where WebXPRT 5 may be headed. We want to reemphasize that while we are actively investigating the possible changes mentioned above, nothing is set in stone. As the pieces start to fall into place, we’ll provide more information here in the blog.

If you have any questions or comments about WebXPRT 5, please feel free to contact us!

Justin

Posted in AI, benchmark, Benchmark metrics, Benchmarking, Benchmarks in general, BenchmarkXPRT, browser performance, Browser-based benchmarks, Caffe, computer vision, Cross-platform benchmarks, face detection, Future of performance evaluation, image classification, image processing, JavaScript, large language models, ONNX Runtime Web, Performance benchmarking, SqueezeNet, Web AI, WebGPU, WebXPRT, WebXPRT 4 | Also tagged , , , , , , , , , , , , , , , , , ,

WebXPRT can help you choose the right back-to-school tech

Justin Greene
By Justin Greene
on August 7, 2025

For many students, the excitement and anticipation of a new school year is right round the corner! In addition to being an opportunity to dive into new subjects, meet new people, and make progress toward learning goals, the back-to-school season often provides students and teachers with a chance to shop for new technology to meet their needs in the coming year. The tech marketplace can be confusing, however, with a slew of brands, options, and claims competing for back-to-school dollars.

Never fear: WebXPRT can help!

Whether you’re shopping for a new phone, tablet, Chromebook, laptop, or desktop, WebXPRT can provide industry-trusted performance scores that can help give you confidence that you’re making a smart purchasing decision.

And in this age of AI, WebXPRT performance scores do account for specific AI tasks. The benchmark includes timed AI tasks in two workloads, which reflect the types of light browser-side inference tasks that are now quite common in consumer-oriented web applications and extensions. You can read more about that in previous blog entries on the “Organize Album using AI” and “Encrypt Notes and OCR Scan” workloads.

To see how devices stack up, the WebXPRT 4 results viewer is a good place to start. The viewer displays the WebXPRT 4 scores of over 975 devices—including many of the hottest new releases—and we’re adding more scores all the time. To learn more about the viewer’s capabilities and how you can use it to compare devices, check out this blog post.

Another way to find WebXPRT scores is to go directly to the tech press. If you’re considering a popular device, there’s a good chance that a recent tech review includes a WebXPRT score for that device. There are two quick ways to find these reviews: You can either (1) search for “WebXPRT” on a tech review site or (2) use a search engine and enter the device name and WebXPRT as search terms, such as “Lenovo ThinkPad X1 Carbon” and “WebXPRT.”

Here are a few recent articles and tech reviews that used WebXPRT:


If you’re excited about the opportunity to buy new tech for school, WebXPRT can provide you with the information you need to make more confident tech purchases. As this new school year begins, we hope you’ll find the data you need on our site or in an XPRT-related tech review. Feel free to contact us if you have any questions about WebXPRT or WebXPRT scores!

Justin

Posted in AI, Apple, ASUS, benchmark, Benchmarking, BenchmarkXPRT, browser performance, Browser-based benchmarks, Chromebooks, Cross-platform benchmarks, Dell, HP, Lenovo, Microsoft, OCR, Performance benchmarking, Samsung, WebXPRT, WebXPRT 4 | Also tagged , , , , , , , , , , , , , , , , , , , ,

Browser-based AI tests in WebXPRT 4: optical character recognition

Justin Greene
By Justin Greene
on July 3, 2025

In our previous blog post, we discussed the rapidly expanding influence of AI-enhanced technologies in areas like everyday browser activity—and the growing need for objective performance data that can help us understand how well new consumer devices will handle AI tasks. We noted that WebXPRT 4 already includes timed AI tasks in two of its workloads—the “Organize Album using AI” and “Encrypt Notes and OCR Scan”—and we provided some technical details for the Organize Album workload. In today’s post, we’ll focus on the Encrypt Notes workload.

The Encrypt Notes workload includes two separate scenarios that reflect common web-based productivity app tasks. The first scenario syncs a set of encrypted notes, and the second scenario uses AI-based optical character recognition (OCR) to scan a receipt, extract data, and then add that data to an expense report.

Here are the details for each scenario:

  • The encrypt notes scenario downloads a set of notes, encrypts that data, temporarily stores it in the browser’s localStorage object (the localStorageDB.js database layer), and then decrypts and renders it for display. This scenario measures HTML5 Local Storage, JavaScript, AES encryption, and WebAssembly (Wasm) performance. 
  • The OCR scan scenario uses a Wasm-based version of Tesseract.js (tesseract-core.wasm.js v2.20) to scan an expense receipt. Tesseract.js is a JavaScript port of the Tesseract OCR engine—a popular open-source C/C++ library that extracts text from images and PDFs. The scenario then adds the receipt to an expense report. This scenario measures HTML5 Local Storage, JavaScript, and Wasm performance. 

We mention this test under the AI umbrella in part because people sometimes use the term “OCR” to refer to a spectrum of AI and non-AI technologies. In this case, though, the specifics make this workload clearly have an AI component. The Wasm-based Tesseract library that we use in WebXPRT 4 is based on a version of C/C++ (v4.x) that uses Long Short-Term Memory (LSTM). LSTM is a type of recurrent neural network (RNN) that is particularly well-suited for processing and predicting sequential data. As such, it is clearly an AI component of the Encrypt Notes and OCR Scan workload.

To produce a score for each iteration of the workload, WebXPRT calculates the total time that it takes for a system to sync (encrypt, decrypt, and render) the notes, use OCR to scan the receipt, and add the scanned data to an expense report. 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.

Along with our post on the Organize Album workload, we hope this information provides a deeper understanding of WebXPRT 4’s AI-equipped workloads. As we mentioned last time, if you want to explore the structure of these workloads in more detail, you can check out previous blog posts for information about how to access and use the WebXPRT 4 source code for free. 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 WebXPRT 4, please let us know!

Justin

Posted in AI, benchmark, Benchmark metrics, Benchmarking, BenchmarkXPRT, browser performance, Browser-based benchmarks, computer vision, Cross-platform benchmarks, HTML5, inference, OCR, on-device AI, Performance benchmarking, Wasm, Web-based testing, WebAssembly, WebXPRT, WebXPRT 4, White papers | 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 , , , , , , , , , ,

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