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A preview of the new CrXPRT 2 UI

Justin Greene
By Justin Greene
on January 30, 2020

As we get closer to the CrXPRT 2 Community Preview (CP), we want to provide readers with a glimpse of the new CrXPRT 2 UI. In line with the functional and aesthetic themes we used for the latest versions of WebXPRT, MobileXPRT, and HDXPRT, we’re implementing a clean, bright look with a focus on intuitive navigation. The screenshots below show how we’ve used that approach to rework the home, battery life test, performance test, and battery life test results screens. (We’re still tweaking the UI, so the screens you see in the CP may differ slightly.)

On the home screen, we kept the performance test and battery life test buttons, but made it clearer that you can choose only one. We also added a link to the user manual to the bottom ribbon for quick access.

If you choose to run a battery life test and click Next, the screen below appears. The CrXPRT 2 battery life test requires a full rundown, so you’ll need charge your device to 100 percent before you can start the test. Once you’ve done that, enter a name for the test run, unplug the system, and click Start. (Note that you no longer need to enter values for screen brightness and audio levels.)

The CrXPRT 2 performance test includes updated versions of six of the seven workloads in CrXPRT 2015. (As we discussed in a previous blog post, newer versions of Chrome can’t run the Photo Collage workload without a workaround, so we removed it from CrXPRT 2.)  To run the performance test, enter a name for the test run, customize the workloads if you wish, and click Start.

For the results screens, we wanted to highlight the most important end-of-test information while still offering clear paths for options such as getting additional details on the test, submitting results, and running the test again. Below, we show the results screen from a battery life test. Note the “Main menu” link in the upper-left corner, which we added to all screens to give users a quick way to navigate back to the home screen.

CrXPRT 2 development and testing are still underway. We don’t yet have an exact release date for the CP, but once we do, we’ll announce it here in the blog.

What do you think about the new CrXPRT 2 UI? Let us know!

Justin

Posted in Battery life, benchmark, BenchmarkXPRT, BenchmarkXPRT development community, Chrome OS, Chromebooks, Community Preview, CrXPRT, Performance benchmarking | Tagged , , , , , , |

The XPRT activity we have planned for first half of 2020

Justin Greene
By Justin Greene
on January 23, 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

Posted in AI, AIXPRT, benchmark, Benchmark metrics, BenchmarkXPRT, BenchmarkXPRT development community, Chromebooks, Cloud, CloudXPRT, Collaborative benchmark development, Community Preview, CrXPRT, Datacenter, ResNet-50, SSD-MobileNet v1 | Tagged , , , , , , , , |

CloudXPRT is on the way

Bill Catchings
By Bill Catchings
on January 16, 2020

A few months ago, we wrote about the possibility of creating a datacenter XPRT. In the intervening time, we’ve discussed the idea with folks both in and outside of the XPRT Community. We’ve heard from vendors of datacenter products, hosting/cloud providers, and IT professionals that use those products and services.

The common thread that emerged was the need for a cloud benchmark that can accurately measure the performance of modern, cloud-first applications deployed on modern infrastructure as a service (IaaS) platforms, whether those platforms are on-premises, hosted elsewhere, or some combination of the two (hybrid clouds). Regardless of where clouds reside, applications are increasingly using them in latency-critical, highly available, and high-compute scenarios.

Existing datacenter benchmarks do not give a clear indication of how applications will perform on a given IaaS infrastructure, so the benchmark should use cloud-native components on the actual stacks used for on-prem and public cloud management.

We are planning to call the benchmark CloudXPRT. Our goal is for CloudXPRT to address the needs described above while also including the elements that have made the other XPRTs successful. We plan for CloudXPRT to

  • Be relevant to on-prem (datacenter), private, and public cloud deployments
  • Run on top of cloud platform software such as Kubernetes
  • Include multiple workloads that address common scenarios like web applications, AI, and media analytics
  • Support multi-tier workloads
  • Report relevant metrics including both throughput and critical latency for responsiveness-driven applications and maximum throughput for applications dependent on batch processing

CloudXPRT’s workloads will use cloud-native components on an actual stack to provide end-to-end performance metrics that allow users to choose the best IaaS configuration for their business.

We’ve been building and testing preliminary versions of CloudXPRT for the last few months. Based on the progress so far, we are shooting to have a Community Preview of CloudXPRT ready in mid- to late-March with a version for general availability ready about two months later.

Over the coming weeks, we’ll be working on getting out more information about CloudXPRT and continuing to talk with interested parties about how they can help. We’d love to hear what workflows would be of most interest to you and what you would most like to see in a datacenter/cloud benchmark. Please feel free to contact us!

Bill

Posted in benchmark, BenchmarkXPRT, BenchmarkXPRT development community, Cloud, CloudXPRT, Collaborative benchmark development, Datacenter, Future of performance evaluation, Hosted cloud, Hybrid cloud, IaaS, On-premise, Performance benchmarking, Server | Tagged , , , , , , , , |

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

Justin Greene
By Justin Greene
on January 9, 2020

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

Posted in AI, AIXPRT, CES, Datacenter, Future of performance evaluation, Machine learning, Mobile devices, recommender system, Trade Shows | Tagged , , , , , , |

The XPRTs in 2019: Looking back on an exciting and productive year

Justin Greene
By Justin Greene
on December 19, 2019

2019 is winding down, and we want to take this opportunity to review another exciting and productive year for the BenchmarkXPRT Development Community. Readers of our newsletter are familiar with the stats and updates we post in each month’s mailing, but we know that not all our blog readers receive the newsletter, so we’ve compiled the highlights below.

Trade shows
Earlier this year, Justin attended CES in Las Vegas and Mark travelled to MWC Barcelona. These shows help us keep up with the latest industry trends and gather insights that help to lay the groundwork for XPRT development in the years ahead.

Benchmarks
In the past year, we released MobileXPRT 3, HDXPRT 4, and AIXPRT, our new AI benchmark tool that helps you evaluate a system’s machine learning inference performance. There’s much more to come in 2020 with AIXPRT and several other projects, so expect more news about benchmark development early in the year.

Web mentions
In 2019 so far, journalists, advertisers, and analysts have referenced the XPRTs over 5,000 times, including mentions in more than 190 articles and 1,350 device reviews. This represents a more than 50% increase over 2018.

Downloads and confirmed runs
To date, we’ve had more than 24,800 benchmark downloads and 153,000 confirmed runs in 2019, increases of more than 8% and 10%, respectively, over 2018. Within the last month, our most popular benchmark, WebXPRT, passed the 500,000-run milestone! WebXPRT continues to be an industry-standard performance benchmark upon which OEM labs, vendors, and leading tech press outlets rely.

XPRT Tech Spotlight
We put 47 new devices in the XPRT Tech Spotlight throughout the year and published updated back-to-school, Black Friday, and holiday showcases to help buyers compare devices.

Media and interactive tools
We published a new XPRTs around the world infographic and an interactive AIXPRT installation package selector tool. We’ve received a lot of positive feedback about the tool. We encourage you to give it a try if you’re curious about AIXPRT but aren’t sure how to get started.

We’re thankful for everyone who used the XPRTs, joined the community, and sent questions and suggestions throughout 2019. This will be our last blog post for 2019, but there’s much more to come in 2020, including some exciting new developments. Stay tuned in early January for updates!

Justin

Posted in AIXPRT, benchmark, BenchmarkXPRT, BenchmarkXPRT development community, CES, HDXPRT 4, Mobile World Congress, MobileXPRT 3, Trade Shows, WebXPRT, XPRT Tech Spotlight | Tagged , , , , , , , |

AIXPRT’s unique development path

Justin Greene
By Justin Greene
on December 12, 2019

With four separate machine learning toolkits on their own development schedules, three workloads, and a wide range of possible configurations and use cases, AIXPRT has more moving parts than any of the XPRT benchmark tools to date. Because there are so many different components, and because we want AIXPRT to provide consistently relevant evaluation data in the rapidly evolving AI and machine learning spaces, we anticipate a cadence of AIXPRT updates in the future that will be more frequent than the schedules we’ve used for other XPRTs in the past. With that expectation in mind, we want to let AIXPRT testers know that when we release an AIXPRT update, they can expect minimized disruption, consideration for their testing needs, and clear communication.

Minimized disruption

Each AIXPRT toolkit (Intel OpenVINO, TensorFlow, NVIDIA TensorRT, and Apache MXNet) is on its own development schedule, and we won’t always have a lot of advance notice when new versions are on the way. Hypothetically, a new version of OpenVINO could release one month, and a new version of TensorRT just two months later. Thankfully, the modular nature of AIXPRT’s installation packages ensures that we won’t need to revise the entire AIXPRT suite every time a toolkit update goes live. Instead, we’ll update each package individually when necessary. This means that if you only test with a single AIXPRT package, updates to the other packages won’t affect your testing. For us to maintain AIXPRT’s relevance, there’s unfortunately no way to avoid all disruption, but we’ll work to keep it to a minimum.

Consideration for testers

As we move forward, when software compatibility issues force us to update an AIXPRT package, we may discover that the update has a significant effect on results. If we find that results from the new package are no longer comparable to those from previous tests, we’ll share the differences that we’re seeing in our lab. As always, we will use documentation and versioning to make sure that testers know what to expect and  that there’s no confusion about which package to use.

Clear communication

When we update any package, we’ll make sure to communicate any updates in the new build as clearly as possible. We’ll document all changes thoroughly in the package readmes, and we’ll talk through significant updates here in the blog. We’re also available to answer questions about AIXPRT and any other XPRT-related topic, so feel free to ask!

Justin

Posted in AI, AIXPRT, benchmark, BenchmarkXPRT, Collaborative benchmark development, Cross-platform benchmarks, Future of performance evaluation, image classification, Machine learning, OpenVINO, Performance benchmarking, TensorRT | Tagged , , , , , , , |

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