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!
Soon, we’ll be expanding
our portfolio of CloudXPRT resources with a white paper that focuses on the benchmark’s
web microservices workload. While we summarized the workload in the Introduction to CloudXPRT white paper, the new paper will discuss the
workload in much greater detail.
In addition to providing practical information about the web microservices installation packages and minimum system requirements, the paper describes the workload’s test configuration variables, structural components, task workflows, and test metrics. It also discusses interpreting test results and the process for submitting results 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 further. We plan to publish a companion overview for the data analytics workload, and possible future topics include the impact of adjusting specific test configuration options, recommendations for results reporting, and methods for analysis.
We hope that the
upcoming Overview of the CloudXPRT Web Microservices 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!
Today, we published the Introduction to CloudXPRT white paper. The paper provides an overview of our latest benchmark and consolidates CloudXPRT-related information that we’ve published in the XPRT blog over the past several months. It describes the CloudXPRT workloads, choosing and downloading installation packages, submitting CloudXPRT results for publication, and possibilities for additional development in the coming months.
CloudXPRT is one of
the most complex tools in the XPRT family, and there are more CloudXPRT-related
topics to discuss than we could fit in this first paper. In future white papers,
we will discuss in greater detail each of the benchmark workloads, the range of
test configuration options, results reporting, and methods for analysis.
We hope that Introduction
to CloudXPRT will provide testers who are interested in CloudXPRT with
a solid foundation of understanding on which they can build. Moving forward, we
will provide links to the paper in the Helpful Info box on CloudXPRT.com and the CloudXPRT section of our XPRT white papers page.
If you have any questions about CloudXPRT, please let us know!
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!
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!
At over 412,000 runs and counting, WebXPRT is our most popular benchmark. From the first release in 2013, it’s 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 it evaluates device performance using the types of web-based tasks that people are likely to encounter on a daily basis.
With each new version of WebXPRT, we analyze browser development trends to make sure the test’s underlying web technologies and workload scenarios adequately reflect the ways people are using their browsers to work and play. BenchmarkXPRT Development Community members can play an important part in that process by sending us feedback on existing tests and suggestions for new workloads to include.
For example, when we released WebXPRT 3, we updated the photo workloads with new images and a deep learning task used for image classification. We also added an optical character recognition task in the Encrypt Notes and OCR scan workload, and combined part of the DNA Sequence Analysis scenario with a writing sample/spell check scenario to simulate online homework in an all-new Online Homework workload.
Consider for a moment what an ideal future version of WebXPRT would look like for you. Are there new web technologies or workload scenarios that you would like to see? Would you be interested in an associated battery life test? Should we include experimental tests? We’re interested in what you have to say, so please feel free to contact us with your thoughts or questions.
If you’re just now learning about WebXPRT, we offer several resources to help you better understand the benchmark and its range of uses. For a general overview of why WebXPRT matters, watch our video titled What is WebXPRT and why should I care? To read more about the details of the benchmark’s development and structure, check out the Exploring WebXPRT 3 white paper. To see WebXPRT 2015 and WebXPRT 3 scores from a wide range of processors, visit the WebXPRT 3 Processor Comparison Chart.
We look forward to hearing from you!