Month: December 2016

Creating a machine-learning benchmark

on December 22, 2016

Recently, we wrote about one of the most exciting emerging technology areas, machine learning, and the question of what role the XPRTs could play in the field.

Experts expect machine learning to be the analytics backbone of the IoT data explosion. It is a disruptive technology with potential to influence a broad range of industries. Consumer and industrial applications that take advantage of machine-learning advancements in computer vision, natural language processing, and data analytics are already available and many more are on the way.

Currently, there is no comprehensive machine-learning or deep-learning benchmark that includes home, automotive, industrial, and retail use cases. The challenge with developing a benchmark for machine learning is that these are still the early days of the technology. A fragmented software and hardware landscape and lack of standardized implementations makes benchmarking machine learning complex and challenging.

Based on the conversations we’ve had over the last few weeks, we’ve decided to take on that challenge. With the community’s help, of course!

As we outlined in a blog entry last month, we will work with interested folks in the community, key vendors, and academia to pull together what we are internally calling MLXPRT.

While the result may differ substantially from the existing XPRTs, we think the need for something is great. Whether that will turn out to be a packaged tool or just sample code and workloads remains to be seen.

What we need most your help. We need both general input about what you would like to see as well as any expertise you may have. Let us know any questions you may have or ways you can help.

On a related note, I’ll be at CES 2017 in Las Vegas during the first week of January. I’d love to meet and talk more about machine learning, benchmarking, or the XPRTs. If you’re planning to be there and would like to connect, let us know.

We will not have a blog entry next week over the holidays, so we wish all of you a wonderful time with your families and a great start to the new year.

Bill

Posted in BenchmarkXPRT, BenchmarkXPRT development community, CES, Collaborative benchmark development, Machine learning, What makes a good benchmark? |

Exploring virtual reality

By Eric Hale

on December 15, 2016

We’ve talked a lot in recent weeks about new technologies we are evaluating for the XPRTs. You may remember that back in June, we also wrote about sponsoring a second senior project with North Carolina State University. Last week, the project ended with the traditional Posters and Pies event. The team gave a very well thought‑out presentation.

As you can tell from the photo below, the team designed and implemented a nifty virtual reality app. It’s a room escape puzzle, and it looks great!

The app is a playable game with the ability to record the gameplay for doing repeatable tests. It also includes a recording that allows you to test a device without playing the game. Finally, the app lets you launch directly into the prerecorded game without using a viewer, which will be handy for testing multiple devices.

The team built the app using the Google Cardboard API and the Unity game engine, which allowed them to create Android and iOS versions. We’re looking forward to seeing what that may tell us!

After Posters and Pies, the team came to PT to present their work and answer questions. We were all very impressed with their knowledge and with how well thought out the application was.

Many thanks to team members Christian McCurdy, Gregory Manning, Grayson Jones, and Shon Ferguson (not shown).

Thanks also to Dr. Lina Battestilli, the team’s technical advisor, and Margaret Heil, Director of the Senior Design Center.

We are currently evaluating the app, and expect to make it available to the community in early 2017!

Eric

Posted in Android, Benchmarking, Collaborative benchmark development, iOS, North Carolina State University, Virtual reality |

WebXPRT in 2017

By Bill Catchings

on December 8, 2016

Over the last few weeks, we’ve discussed the future of HDXPRT and BatteryXPRT. This week, we’re discussing what’s in store for WebXPRT in 2017.

WebXPRT is our most popular tool. Manufacturers, developers, consumers, and media outlets in more than 350 cities and 57 countries have run WebXPRT over 113,000 times to date. The benchmark runs quickly and simply in most browsers and produces easy-to-understand results that are useful for comparing web browsing performance across a wide variety of devices and browsers. People love the fact that WebXPRT runs on almost any platform that has a web browser, from PCs to phones to game consoles.

More people are using WebXPRT in more places and in more ways than ever before. It’s an unquestioned success, but we think this is a good time to make it even better by beginning work on WebXPRT 2017. Any time change comes to a popular product, there’s a risk that faithful fans will lose the features and functionality they’ve grown to love. Relevant workloads, ease of use, and extensive compatibility have always been the core components of WebXPRT’s success, so we want to reassure users that we’re committed to maintaining all of those in future versions.

Some steps in the WebXPRT 2017 process are straightforward, such as the need to reassess the existing workload lineup and update content to reflect advances in commonly used technologies. Other steps, such as introducing new workloads to test emerging browser technologies, may be tricky to implement, but could offer tremendous value in the months and years ahead.

Are there test scenarios or browser technologies you would like to see in WebXPRT 2017, or tests you think we should get rid of? Please let us know. We want to hear from you and make sure that we’re crafting a performance tool that continues to meet your needs.

Bill

Posted in BatteryXPRT 2014 for Android, Future of performance evaluation, HDXPRT, HTML5, Performance benchmarking, Web-based testing, WebXPRT, WebXPRT 2017 |

BatteryXPRT’s future

By Justin Greene

on December 1, 2016

A few weeks ago, we discussed the future of HDXPRT. This week, we’re focusing on the current state of BatteryXPRT 2014 for Android, and how the benchmark may evolve in 2017.

BatteryXPRT continues to provide users with reliable evaluations of their Android device’s performance and battery life under real-world conditions. Originally designed to be compatible with Android 4.2 (Jelly Bean) and above, the benchmark continues to work well on subsequent versions of Android, up to and including Android 6.0 (Marshmallow).

Since Android 7 (Nougat) began to roll out on select devices in the past few months, our internal testing has shown that we’ll need to adjust the BatteryXPRT source code to maintain compatibility with devices running Android 7 and above. We developed the existing source when Eclipse was the officially supported SDK environment, and now we need to bring the code in line with the current Android Studio SDK.

Practically speaking, BatteryXPRT does run on Nougat, and to the best of our knowledge, battery life results are still accurate and reliable. However, the test will not produce a performance score. As more Nougat devices are released in the coming months, it’s possible that other aspects of the benchmark may encounter issues. If this happens during your testing, we encourage you to let us know.

Because MobileXPRT 2015 and BatteryXPRT 2014 performance workloads are so closely related, the next obvious question is whether MobileXPRT 2015 runs on Nougat devices. As of now, MobileXPRT 2015 does run successfully and reliably on Android 7, and this is because the most recent build of MobileXPRT 2015 was compiled using a newer SDK.

We think the best course of action for MobileXPRT 2015 and BatteryXPRT will be to eventually combine them into a single, easy-to-use Android benchmark for performance and battery life. We’ll talk more about that plan in the coming months, and we look forward to hearing your input. Until that transition is successful, we’ll continue to support both BatteryXPRT and MobileXPRT 2015.

As always, we welcome your feedback on these developments, as well as any ideas you may have for future XPRTs.

Justin

Posted in Android, Android L, Android M, Android N, Battery life, BatteryXPRT 2014 for Android, Collaborative benchmark development, MobileXPRT 2015 |

Month: December 2016

Creating a machine-learning benchmark

Exploring virtual reality

WebXPRT in 2017

BatteryXPRT’s future

Check out the other XPRTs: