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The Introduction to AIXPRT white paper is now available!

Today, we published the Introduction to AIXPRT white paper. The paper serves as an overview of the benchmark and a consolidation of AIXPRT-related information that we’ve published in the XPRT blog over the past several months. For folks who are completely new to AIXPRT and veteran testers who need to brush up on pre-test configuration procedures, we hope this paper will be a quick, one-stop reference that helps reduce the learning curve.

The paper describes the AIXPRT toolkits and workloads, adjusting key test parameters (batch size, level of precision, number of concurrent instances, and default number of requests), using alternate test configuration files, understanding and submitting results, and accessing the source code.

We hope that Introduction to AIXPRT will prove to be a valuable resource. Moving forward, readers will be able to access the paper from the Helpful Info box on AIXPRT.com and the AIXPRT section of our XPRT white papers page. If you have any questions about AIXPRT, please let us know!

Justin

Odds and ends

Today, we want to share quick updates on a few XPRT topics.

In case you missed yesterday’s announcement, the CrXPRT 2 Community Preview (CP) is now available. BenchmarkXPRT Development Community members can access the preview using a direct link we’ve posted on the CrXPRT tab in the XPRT Members’ Area (login required). This tab also provides a link to the CrXPRT 2 CP user manual. You can find a summary of what’s new with CrXPRT 2 in last week’s blog. During the preview period, we allow testers to publish CP test scores. Note that CrXPRT 2 overall performance test scores and battery life measurements are not comparable to those from CrXPRT 2015.

We’ll soon be publishing our first AIXPRT whitepaper, Introduction to AIXPRT. It will summarize the AIXPRT toolkits and workloads; how to adjust test parameters such as batch size, levels of precision, and concurrent instances; how to use alternate test configuration files; and how to understand test results. When the paper is available, we’ll post it on the XPRT white papers page and make an announcement here in the blog.

Finally, in response to decreased downloads and usage of BatteryXPRT, we have ended support for the benchmark. We’re always monitoring usage of the XPRTs so that we can better direct our resources to the current needs of users. We’ve removed BatteryXPRT from the Google Play Store, but it is still available for download on BatteryXPRT.com.

If you have any questions about CrXPRT 2, AIXPRT, or BatteryXPRT, please let us know!

Justin

Principled Technologies and the BenchmarkXPRT Development Community make the AIXPRT source code available to the public

Durham, NC, February 18 — Principled Technologies and the BenchmarkXPRT Development Community release the source code for the AIXPRT benchmark to the public. AIXPRT is a free tool that allows users to evaluate a system’s machine learning inference performance by running common image-classification, object detection, and recommender system workloads.

“Publishing the AIXPRT source code is part of our commitment to making the XPRT development process as transparent as possible,” said Bill Catchings, co-founder of Principled Technologies, which administers the BenchmarkXPRT Development Community. “By allowing all interested parties to download and review our source code, we’re taking tangible steps to improve openness in the benchmarking industry.”

To access the AIXPRT source code, visit the AIXPRT GitHub repository at https://github.com/BenchmarkXPRT/AIXPRT.

AIXPRT includes support for the Intel© OpenVINO™, TensorFlow™, and NVIDIA© TensorRT™ toolkits to run image-classification and object-detection workloads with the ResNet-50 and SSD-MobileNet v1 networks, as well as the MXNet™ toolkit with a Wide and Deep recommender system workload. The test reports FP32, FP16, and INT8 levels of precision.

To access AIXPRT, visit www.AIXPRT.com.

AIXPRT is part of the BenchmarkXPRT suite of performance evaluation tools, which includes WebXPRT, CrXPRT, MobileXPRT, TouchXPRT, and HDXPRT. The XPRTs help users get the facts before they buy, use, or evaluate tech products such as computers, tablets, and phones.

To learn more about the BenchmarkXPRT Development Community, go to www.BenchmarkXPRT.com or contact a BenchmarkXPRT Development Community representative directly by sending a message to BenchmarkXPRTsupport@PrincipledTechnologies.com.

About Principled Technologies, Inc.
Principled Technologies, Inc. is a leading provider of technology marketing, as well as learning and development services. It administers the BenchmarkXPRT Development Community.

Principled Technologies, Inc. is located in Durham, North Carolina, USA. For more information, please visit www.PrincipledTechnologies.com.

Company Contact
Justin Greene
BenchmarkXPRT Development Community
Principled Technologies, Inc.
1007 Slater Road, Ste. 300
Durham, NC 27704
BenchmarkXPRTsupport@PrincipledTechnologies.com

The AIXPRT source code is now public

This week, we have good news for AIXPRT testers: the AIXPRT source code is now available to the public via GitHub. As we’ve discussed in the past, publishing XPRT source code is part of our commitment to making the XPRT development process as transparent as possible. With other XPRT benchmarks, we’ve only made the source code available to community members. With AIXPRT, we have released the source code more widely. By allowing all interested parties, not just community members, to download and review our source code, we’re taking tangible steps to improve openness and honesty in the benchmarking industry and we’re encouraging the kind of constructive feedback that helps to ensure that the XPRTs continue to contribute to a level playing field.

Traditional open-source models encourage developers to change products and even take them in new and different directions. Because benchmarking requires a product that remains static to enable valid comparisons over time, we allow people to download the source code and submit potential workloads for future consideration, but we reserve the right to control derivative works. This discourages a situation where someone publishes an unauthorized version of the benchmark and calls it an “XPRT.”

We encourage you to download and review the source and send us any feedback you may have. Your questions and suggestions may influence future versions of AIXPRT. If you have any questions about AIXPRT or accessing the source code, please feel free to ask! Please also let us know if you think we should take this approach to releasing the source code with other XPRT benchmarks.

Justin

The XPRT activity we have planned for first half of 2020

Today, we want to let readers know what to expect from the XPRTs over the next several months. Timelines and details can always change, but we’re confident that community members will see CloudXPRT Community Preview (CP), updated AIXPRT, and CrXPRT 2 releases during the first half of 2020.

CloudXPRT

Last week, Bill shared some details about our new datacenter-oriented benchmark, CloudXPRT. If you missed that post, we encourage you to check it out and learn more about the need for a new kind of cloud benchmark, and our plans for the benchmark’s structure and metrics. We’re already testing preliminary builds, and aim to release a CloudXPRT CP in late March, followed by a version for general availability roughly two months later.

AIXPRT

About a month ago, we explained how the number of moving parts in AIXPRT will necessitate a different development approach than we’ve used for other XPRTs. AIXPRT will require more frequent updating than our other benchmarks, and we anticipate releasing the second version of AIXPRT by mid-year. We’re still finalizing the details, but it’s likely to include the latest versions of ResNet-50 and SSD-MobileNet, selected SDK updates, ease-of-use improvements for the harness, and improved installation scripts. We’ll share more detailed information about the release timeline here in the blog as soon as possible.

CrXPRT 2

As we mentioned in December, we’re working on CrXPRT 2, the next version of our benchmark that evaluates the performance and battery life of Chromebooks. You can find out more about how CrXPRT works both here in the blog and at CrXPRT.com.

We’re currently testing an alpha version of CrXPRT 2. Testing is going well, but we’re tweaking a few items and refining the new UI. We should start testing a CP candidate in the next few weeks, and will have firmer information for community members about a CP release date very soon.

We’re excited about these new developments and the prospect of extending the XPRTs into new areas. If you have any questions about CloudXPRT, AIXPRT, or CrXPRT 2, please feel free to ask!

Justin

CES 2020: AI in action and a “smart” future

During last year’s Consumer Electronics Show (CES), one question kept coming to mind as I walked the floor: Are we approaching the tipping point where AI truly affects most people in meaningful ways on a daily basis? I think it’s safe to say that we’ve reached that point as a result of AI integration with phones. After all, for many of us, AI improves the quality of our photography, recommends words and phrases as we text and search the web, and lets us know when to allow extra drive time because traffic is heavy.

However, for me, the most intriguing aspects of this year’s CES are the glimpses of how AI will change every area of our lives, with and without mobile devices. The show floor is jam-packed with ways to integrate AI with everything from athletic shoes to pet care to the kitchen sink. Many of these ideas are fascinating on their own, and they’re all part of a much bigger picture. The next few years will see increased AI utilization in medicine, transportation, agriculture, water and energy distribution, natural resource protection, and many more areas. Our personal smart devices will connect to smart vehicles, smart homes, smart grids, and smart cities. In the near future, CES shows won’t need AI sections because AI will be a part of everything.

At each step of this journey, people will need objective data about how well their tech can handle the demands of common AI workloads. We’re excited that AIXPRT is already becoming a go-to tool for testing inference performance on laptops, desktops, and servers. There’s much more to come with AIXPRT in 2020, along with news about XPRTs in the datacenter, so stay tuned to the blog for exciting developments in the weeks to come!

I’ll leave you with pics from three of my favorite displays at this year’s show. The first is a model of Toyota’s Woven City. Toyota announced plans to build an entire mini city on existing company land near Mount Fuji. The city will house 2,000 people and will serve as an enormous real-time lab where designers and engineers can test ubiquitous AI and sensor technology. Toyota will also design the city to be fully sustainable with the use of hydrogen fuel cells and solar panels.

The second picture shows the electric Hyundai Urban Air Mobility prototype. Hyundai is partnering with Uber on this project, and the planned vertical take-off and landing (VTOL) craft will seat five passengers plus a pilot, have a range of 60 miles, and be able to recharge in less than 10 minutes. These concepts aren’t new, but battery and material sciences technologies are progressing to the point that this one may get off the ground!

The third picture shows BrainCo’s AI Prosthetic Hand display. The hand provides amputees with new levels of dexterity compared to previous prosthetics, and it uses AI to learn from the user’s patterns of movement. The idea is that the accuracy of gestures and grips will improve over time, allowing users to accomplish tasks that are impossible with existing technology. A young man in the booth was using the hand to paint beautiful and precise Chinese calligraphy. Very cool!

Justin

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