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All about the AIXPRT Community Preview

Justin Greene
By Justin Greene
on February 28, 2019

Last week, Bill discussed our plans for the AIXPRT Community Preview (CP). I’m happy to report that, despite some last-minute tweaks and testing, we’re close to being on schedule. We expect to take the CP build live in the coming days, and will send a message to community members to let them know when the build is available in the AIXPRT GitHub repository.

As we mentioned last week, the AIXPRT CP build includes support for the Intel OpenVINO, TensorFlow (CPU and GPU), and TensorFlow with NVIDIA TensorRT toolkits to run image-classification workloads with ResNet-50 and SSD-MobileNet v1 networks. The test reports FP32, FP16, and INT8 levels of precision. Although the minimum CPU and GPU requirements vary by toolkit, the test systems must be running Ubuntu 16.04 LTS. You’ll be able to find more detail on those requirements in the installation instructions that we’ll post on AIXPRT.com.

We’re making the AIXPRT CP available to anyone interested in participating, but you must have a GitHub account. To gain access to the CP, please contact us and let us know your GitHub username. Once we receive it, we’ll send you an invitation to join the repository as a collaborator.

We’re allowing folks to quote test results during the CP period, and we’ll publish results from our lab and other members of the community at AIXPRT.com. Because this testing involves so many complex variables, we may contact testers if we see published results that seem to be significantly different than those from comparable systems. During the CP period, On the AIXPRT results page, we’ll provide detailed instructions on how to send in your results for publication on our site. For each set of results we receive , we’ll disclose all of the detailed test, software, and hardware information that the tester provides. In doing so, our goal is to make it possible for others to reproduce the test and confirm that they get similar numbers.

If you make changes to the code during testing, we ask that you email us and describe those changes. We’ll evaluate if those changes should become part of AIXPRT. We also require that users do not publish results from modified versions of the code during the CP period.

We expect the AIXPRT CP period to last about four to six weeks, placing the public release around the end of March or beginning of April. In the meantime, we welcome your thoughts and suggestions about all aspects of the benchmark.

Please let us know if you have any questions. Stay tuned to AIXPRT.com and the blog for more developments, and we look forward to seeing your results!

JNG

Posted in AI, AIXPRT, Benchmark metrics, Benchmarking, BenchmarkXPRT, BenchmarkXPRT development community, Collaborative benchmark development, Community Preview, Future of performance evaluation, Machine learning, OpenVINO, Performance benchmarking, TensorFlow, TensorRT, Ubuntu | Also tagged , , , , , , ,

HDXPRT 4 is here!

Justin Greene
By Justin Greene
on February 22, 2019

We’re excited to announce that HDXPRT 4 is now available to the public! Just like previous versions of HDXPRT, HDXPRT 4 uses trial versions of commercial applications to complete real-world media tasks. The HDXPRT 4 installation package includes installers for some of those programs, such as Audacity and HandBrake. For other programs, such as Adobe Photoshop Elements and CyberLink Media Espresso, users will need to download the necessary installers prior to testing by using the links and instructions in the HDXPRT 4 User Manual.

In addition to the editing photos, editing music, and converting videos workloads from prior versions of the benchmark, HDXPRT 4 includes two new Photoshop Elements scenarios. The first utilizes an AI tool that corrects closed eyes in photos, and the second creates a single panoramic photo from seven separate photos.

HDXPRT 4 is compatible with systems running Windows 10, and is available for download at HDXPRT.com. The installation package is about 4.8 GB, so the download may take several minutes. The setup process takes about 30 minutes on most computers, and a standard test run takes approximately an hour.

After trying out HDXPRT 4, please submit your scores here and send any comments to BenchmarkXPRTsupport@principledtechnologies.com. To see test results from a variety of systems, go to HDXPRT.com and click View Results, where you’ll find scores from a variety of devices. We look forward to seeing your results!

Posted in Benchmarking, BenchmarkXPRT, BenchmarkXPRT development community, Collaborative benchmark development, HDXPRT, HDXPRT 4, HDXPRT development process, HDXPRT metrics, HDXPRT release cycle, HDXPRT workloads, Performance benchmarking, Windows 10 | Also tagged , , , , , , , , ,

Out with the old, and in with the new

Justin Greene
By Justin Greene
on February 14, 2019

What we now know as the BenchmarkXPRT Development Community started many years ago as the HDXPRT Development Community forum. At the time, the community was much smaller, and HDXPRT was our only benchmark. When a member wanted to run the benchmark, they submitted a request, and then received an installation DVD in the mail.

With hundreds of members, more than a half dozen active benchmarks, and the online availability of all our tools, the current community is a much different organization. Instead of the original forum, most of our interaction with members takes place through the blog, the monthly newsletter, direct email, and our social media accounts. Because of the way the community has changed, and because the original forum is no longer very active, we believe that the time and resources that we devote to maintaining the forum could be better spent on building and maintaining other community assets. To that end, we’ve decided to end support for the original BenchmarkXPRT forum.

As always, community members’ voices are an important consideration in what we do. If you have any questions or concerns about the decision to close down the original forum, please let us know as soon as possible.

On another note, we want to thank the community members who’ve participated in the HDXPRT 4 Community Preview. Testing has gone well, and we’re planning to release HDXPRT 4 to the public towards the end of next week!

Justin

Posted in Benchmark metrics, BenchmarkXPRT, BenchmarkXPRT development community, Collaborative benchmark development, Community Preview, HDXPRT, HDXPRT 4 | Also tagged , , ,

XPRTs in the datacenter

Bill Catchings
By Bill Catchings
on September 6, 2018

The XPRTs have been very successful on desktops, notebooks, tablets, and phones. People have run WebXPRT over 295,000 times. It and other benchmarks such as MobileXPRT, HDXPRT, and CrXPRT are important tools globally for evaluating device performance on various consumer and business client platforms.

We’ve begun branching out with tests for edge devices with AIXPRT, our new artificial intelligence benchmark. While typical consumers won’t be able to run AIXPRT on their devices initially, we feel that it is important for the XPRTs to play an active role in a critical emerging market. (We’ll have some updates on the AIXPRT front in the next few weeks.)

Recently, both community members and others have asked about the possibility of the XPRTs moving into the datacenter. Folks face challenges in evaluating the performance and suitability to task of such datacenter mainstays as servers, storage, networking infrastructure, clusters, and converged solutions. These challenges include the lack of easy-to-run benchmarks, the complexity and cost of the equipment (multi-tier servers, large amounts of storage, and fast networks) necessary to run tests, and confusion about best testing practices.

PT has a lot of expertise in measuring datacenter performance, as you can tell from the hundreds of datacenter-focused test reports on our website. We see great potential in our working with the BenchmarkXPRT Development Community to help in this area. It is very possible that, as with AIXPRT, our approach to datacenter benchmarks would differ from the approach we’ve taken with previous benchmarks. While we have ideas for useful benchmarks we might develop down the road, more immediate steps could be drafting white papers, developing testing guidelines, or working with vendors to set up a lab.

Right now, we’re trying to gauge the level of interest in having such tools and in helping us carry out these initiatives. What are the biggest challenges you face in datacenter-focused performance and suitability to task evaluations? Would you be willing to work with us in this area? We’d love to hear from you and will be reaching out to members of the community over the coming weeks.

As always, thanks for your help!

Bill

Posted in AI, AIXPRT, Benchmarking, Collaborative benchmark development, Datacenter, Future of performance evaluation, Networking, Performance benchmarking, Principled Technologies, Servers, Storage | Also tagged , , , , ,

HDXPRT 4: A little lighter and a lot faster

Justin Greene
By Justin Greene
on August 30, 2018

This week, we’re sharing a little more about the upcoming HDXPRT 4 Community Preview. Just like previous versions of HDXPRT, HDXPRT 4 will use trial versions of commercial applications to complete workload tasks. We will include installers for some of those programs, such as Audacity and HandBrake, in the HDXPRT installation package. For other programs, such as Adobe Photoshop Elements 2018 and CyberLink Media Espresso 7.5, users will need to download the necessary installers prior to testing using  links and instructions that we will provide. The HDXPRT 4 installation package is just over 4.7 GB, slightly smaller than previous versions.

I can also report that the new version requires fewer pre-test configuration steps and a full test run takes much less time than before. Some systems that took over an hour to complete an HDXPRT 2014 run are completing HDXPRT 4 runs in about 25 minutes.

We’ll continue to provide more information as we get closer to releasing the community preview. If you’re interested in testing with HDXPRT 4 before the general release but have not yet joined the community, we invite you to join now. If you have any questions or comments about HDXPRT or the community, please contact us.

Justin

Posted in Application-based benchmarks, Benchmarking, BenchmarkXPRT, BenchmarkXPRT development community, Collaborative benchmark development, Community Preview, HDXPRT, HDXPRT 4, HDXPRT development process, HDXPRT release cycle, Performance benchmarking | Also tagged , , , , , ,

AI and the next MobileXPRT

Justin Greene
By Justin Greene
on August 16, 2018

As we mentioned a few weeks ago, we’re in the early planning stages for the next version of MobileXPRT—MobileXPRT 3. We’re always looking for ways to make XPRT benchmark workloads more relevant to everyday users, and a new version of MobileXPRT provides a great opportunity to incorporate emerging tech such as AI into our apps. AI is everywhere and is beginning to play a huge role in our everyday lives through smarter-than-ever phones, virtual assistants, and smart homes. The challenge for us is to identify representative mobile AI workloads that have the necessary characteristics to work well in a benchmark setting. For MobileXPRT, we’re researching AI workloads that have the following characteristics:

  • They work offline, not in the cloud.
  • They don’t require additional training prior to use.
  • They support common use cases such as image processing, optical character recognition (OCR), etc.


We’re researching the possibility of using Google’s Mobile Vision library, but there may be other options or concerns that we’re not aware of. If you have tips for places we should look, or ideas for workloads or APIs we haven’t mentioned, please let us know. We’ll keep the community informed as we narrow down our options.

Justin

Posted in AI, Android, Benchmark metrics, Benchmarking, BenchmarkXPRT, BenchmarkXPRT development community, Collaborative benchmark development, Future of performance evaluation, Google, Machine learning, Mobile devices, MobileXPRT, Performance benchmarking | Also tagged , , , , ,

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