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New MobileXPRT 3 installations may crash on Android 11

Justin Greene
By Justin Greene
on October 15, 2020

We recently received a tech support inquiry about problems with new MobileXPRT 3 installations on some Android 11 phones. The tester installed MobileXPRT 3 on a selection of phones running Android 11, and the app crashed immediately upon opening. We were able to reproduce the issue on multiple phones in our lab, and currently know that the issue may happen on the Google Pixel 3, Google Pixel 4a 5G, Google Pixel 4XL, Google Pixel 5, and the OnePlus 8T (running Android 11 with an Oxygen OS skin).

MobileXPRT 3 continues to run without issues on Android 9 and 10 phones. When we updated an Android 10 phone with an existing MobileXPRT 3 installation to Android 11, we found that the benchmark ran successfully. This suggests a lack of fundamental incompatibilities between MobileXPRT 3 and current versions of Android 11. Because some of our lab techs experienced crashes immediately after the app asked for permissions, we think it’s possible that new permissions-setting requirements in Android 11 are causing the problem.

We’re currently working to isolate the problem and identify a course of action. We’ll share more information here in the blog as soon as possible. If you’ve encountered this problem in your testing, we apologize for the inconvenience, and we’re thankful for your patience as we work towards a solution.

If you have any information you’d like to share about running MobileXPRT 3 on Android 11, please let us know!

Justin

Posted in Android, Android 10, Android 11, Android 9, benchmark, Benchmarking, Google, Mobile devices, MobileXPRT, MobileXPRT 3, Performance benchmarking, Phones, Tablets | Tagged , , , , , , , , , , |

Next up: a white paper about the CloudXPRT data analytics workload

Justin Greene
By Justin Greene
on October 8, 2020

Soon, we’ll be publishing a CloudXPRT white paper that focuses on the benchmark’s data analytics workload. We summarized the workload in the Introduction to CloudXPRT white paper, but in the same way that the Overview of the CloudXPRT Web Microservices Workload paper did, the new paper will discuss the workload in much greater detail.

In addition to providing practical information about the installation package and minimum system requirements for the data analytics workload, the paper will describe test configuration variables, structural components, task workflows, and test metrics. It will also include guidance on interpreting test results and submitting them for publication.

As we’ve noted, CloudXPRT is one of the more complex tools in the XPRT family, with no shortage of topics to explore. Possible future topics include the impact of adjusting specific test configuration options, recommendations for results reporting, and methods for results analysis. If there are specific topics that you’d like us to address in future white papers, please feel free to send us your ideas!

We hope that the upcoming Overview of the CloudXPRT Data Analytics Workload paper will serve as a go-to resource for CloudXPRT testers, and will answer any questions you have about the workload. Once it goes live, we’ll provide links in the Helpful Info box on CloudXPRT.com and the CloudXPRT section of our XPRT white papers page.

If you have any questions, please let us know!

Justin

Posted in benchmark, Benchmark metrics, BenchmarkXPRT, Cloud, CloudXPRT, Clusters, data analytics, Datacenter, Hosted cloud, Hybrid cloud, IaaS, microservices, Performance benchmarking, web microservices |

Following up

Justin Greene
By Justin Greene
on October 1, 2020

This week, we’re sharing news on two topics that we’ve discussed here in the blog over the past several months: CloudXPRT v1.01 and a potential AIXPRT OpenVINO update.

CloudXPRT v1.01

Last week, we announced that we were very close to releasing an updated CloudXPRT build (v1.01) with two minor bug fixes, an improved post-test results processing script, and an adjustment to one of our test configuration recommendations. Our testing and prep is complete, and the new version is live in the CloudXPRT GitHub repository and on our site!

None of the v1.01 changes affect performance or test results, so scores from the new build are comparable to those from previous CloudXPRT builds. If you’d like to know more about the changes, take a look at last week’s blog post.

The AIXPRT OpenVINO update

In late July, we discussed our plans to update the AIXPRT OpenVINO packages with OpenVINO 2020.3 Long-Term Support (LTS). While there are no known problems with the existing AIXPRT OpenVINO package, the LTS version targets environments that benefit from maximum stability and don’t require a constant stream of new tools and feature changes, so we thought it would be well suited for a benchmark like AIXPRT.

We initially believed that the update process would be relatively simple, and we’d be able to release a new AIXPRT OpenVINO package in September. However, we’ve discovered that the process is involved enough to require substantial low-level recoding. At this time, it’s difficult to estimate when the updated build will be ready for release. For any testers looking forward to the update, we apologize for the delay.

If you have any questions or comments about these or any other XPRT-related topics, please let us know!

Justin

Posted in AI, AIXPRT, benchmark, Benchmarking, BenchmarkXPRT, BenchmarkXPRT development community, Cloud, CloudXPRT, Datacenter, GitHub, Machine learning, OpenVINO, Performance benchmarking | Tagged , , , , , |

Fixes for minor CloudXPRT bugs are on the way

Justin Greene
By Justin Greene
on September 24, 2020

We want to let CloudXPRT testers know that we’re close to releasing an updated version (build 1.01) with two minor bug fixes, an improved post-test results processing script, and an adjustment to one of our test configuration recommendations. None of these changes will affect performance or test results, so scores from previous CloudXPRT builds will be comparable to those from the new build.

The most significant changes in CloudXPRT build 1.01 are as follows:

  • In previous builds, some testers encountered warnings during setup to update the version of Kubernetes Operations (kops) when testing on public-cloud platforms (the CloudXPRT 1.00 recommendation is kops version 1.16.0). We are adjusing the kops installation instructions in the setup instructions for the web microservices and data analytics workloads to prevent these warnings.
  • In previous builds, post-test cleanup instructions for public-cloud testing environments do not always delete all of the resources that CloudXPRT creates during setup. We are updating instructions to ensure a more thorough cleanup process. This change applies to test instructions for the web microservices and data analytics workloads.
  • We are reformatting the optional results graphs the web microservices postprocess program creates to make them easier to interpret.
  • In previous builds, the recommended time interval for the web-microservices workload is 120 seconds if the hpamode option is enabled and 60 seconds if it is disabled. Because we’ve found that the 60-second difference has no significant impact on test results, we are changing the recommendation to 60 seconds for both hpamode settings.


We hope these changes will improve the CloudXPRT setup and testing experience. We haven’t set the release date for the updated build yet, but when we do, we’ll announce it here in the blog. If you have any questions about CloudXPRT, or would like to report bugs or other issues, please feel free to contact us!

Justin

Posted in benchmark, Benchmarking, BenchmarkXPRT, CloudXPRT, Clusters, data analytics, Hosted cloud, Performance benchmarking, web microservices | Tagged , , , , , , |

WebXPRT 3: relevant, reliable, and easy to use

Justin Greene
By Justin Greene
on September 17, 2020

WebXPRT continues to be the most widely-used XPRT benchmark, with just over 625,000 runs to date. From the first WebXPRT release in 2013, WebXPRT has been popular with device manufacturers, developers, tech journalists, and consumers because it’s easy to run, it runs on almost anything with a web browser, and its workloads reflect the types of web-based tasks that people are likely to encounter on a daily basis.

We realize that many folks who follow the XPRTs may be unaware of the wide variety of WebXPRT uses that we frequently read about in the tech press. Today, we thought it would be interesting to bring the numbers to life. In addition to dozens of device reviews, here’s a sample of WebXPRT 3 mentions over the past few weeks.

As we plan for the next version of WebXPRT, we want to be sure we build a benchmark that continues WebXPRT’s legacy of relevant workloads, ease-of-use, and broad compatibility. We know what works well in our lab, but to build a benchmark that meets the needs of a diverse group of users all around the world, it’s important that we hear from all types of testers. We recently discussed some of the new technologies that we’re considering for WebXPRT 4, so please don’t hesitate to let us know what you think about those proposals, or send any additional ideas you may have!

Justin

Posted in AnandTech, benchmark, Benchmarking, BenchmarkXPRT, BenchmarkXPRT development community, Browser-based benchmarks, Performance benchmarking, Web-based testing, WebXPRT, WebXPRT 3 | Tagged , , , , , , |

We’re working on an AIXPRT learning tool

Justin Greene
By Justin Greene
on September 10, 2020

For anyone interested in learning more about AIXPRT, the Introduction to AIXPRT white paper provides detailed information about its toolkits, workloads, system requirements, installation, test parameters, and results. However, for AIXPRT.com visitors who want to find the answers to specific AIXPRT-related questions quickly, a white paper can be daunting.

Because we want tech journalists, OEM lab engineers, and everyone who is interested in AIXPRT to be able to find the answers they need in as little time as possible, we’ve decided to develop a new learning tool that will serve as an information hub for common AIXPRT topics and questions.

The new learning tool will be available online through our site. It will offer quick bites of information about the fundamentals of AIXPRT, why the benchmark matters, the benefits of AIXPRT testing and results, machine learning concepts, key terms, and practical testing concerns.

We’re still working on the tool’s content and design. Because we’re designing this tool for you, we’d love to hear the topics and questions you think we should include. If you have any suggestions, please let us know!

Justin

Posted in AI, AIXPRT, benchmark, Benchmarking, Cross-platform benchmarks, Interactive tools, Machine learning, White papers | Tagged , , , , |

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