PT-Logo
Forgot your password?
BenchmarkXPRT Blog banner

Tag Archives: benchmark

The CrXPRT 2 Community Preview is available!

We’re excited to announce that the CrXPRT 2 Community Preview (CP) is now available! BenchmarkXPRT Development Community members can access the preview using a direct link posted on the CrXPRT tab in the XPRT Members’ Area (login required), where they will also find the CrXPRT 2 CP user manual.

You can find more information about the key differences between CrXPRT 2015 and CrXPRT 2 in last week’s blog entry. During the preview period, we allow testers to publish CP test scores, but CrXPRT 2 overall performance test scores and battery life measurements are not comparable to CrXPRT 2015 scores.

If you have any questions about CrXPRT 2 or joining the community, please let us know!

Justin

The CrXPRT 2 Community Preview is almost here!

We appreciate everyone’s patience and feedback during the CrXPRT 2 development process. We’re excited to say that we’re now wrapping up some final details and expect to release the Community Preview (CP) within the next week.

Here is a summary of the key differences between CrXPRT 2015 and CrXPRT 2:

  • As we mentioned a few weeks ago, CrXPRT 2 has a completely new UI in line with the functional and aesthetic themes we used for the latest versions of WebXPRT, MobileXPRT, and HDXPRT, with a focus on intuitive navigation.
  • The CrXPRT 2 performance test includes six of the seven workloads in CrXPRT 2015. Newer versions of Chrome can’t run the Photo Collage workload without a workaround, so we removed it from CrXPRT 2.
  • We updated the images in the Photo Effects and Face Detection workloads to reflect more contemporary file resolutions and sizes.
  • 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, and the length of battery life tests will vary according to the battery life of the systems under test.
  • We no longer require testers to enter luminance and audio measurements in order to run a battery life test.
  • We added a second video playback segment to each battery life iteration.


We allow testers to publish CP test scores, but CrXPRT 2 overall performance test scores and battery life measurements are not comparable to CrXPRT 2015 scores.

Only BenchmarkXPRT Development Community members will be able to download the CrXPRT 2 CP. Because the Chrome team stopped providing search and browse functions for hosted and packaged Chrome apps in the Chrome Web Store, members will need a direct link to access the app. Once the app is available, we’ll post that link, along with the CrXPRT 2 CP user manual, on the CrXPRT tab in the XPRT Members’ Area (login required). We’ll also send a message to the community and post a notice here in the blog.

If you have any questions about CrXPRT 2 or joining the community, please let us know!

Justin

Thinking ahead to WebXPRT 4

It’s been about two years since we released WebXPRT 3, and we’re starting to think about the WebXPRT 4 development cycle. With over 529,000 runs to date, WebXPRT continues to be our most popular benchmark because it’s quick and easy to run, it runs on almost anything with a web browser, and it evaluates performance using the types of web technologies that many people use every day.

For each new version of WebXPRT, we start the development process by looking at browser trends and analyzing the feasibility of incorporating new web technologies into our workload scenarios. For example, in WebXPRT 3, we updated the Organize Album workload to include an image-classification task that uses deep learning. We also added an optical character recognition task to the Encrypt Notes and OCR scan workload, and introduced a new Online Homework workload that combined part of the DNA Sequence Analysis scenario with a writing sample/spell check scenario.

Here are the current WebXPRT 3 workloads:

  • Photo Enhancement:Applies three effects, each using Canvas, to two photos.
  • Organize Album Using AI: Detects faces and classifies images using the ConvNetJS neural network library.
  • Stock Option Pricing:Calculates and displays graphic views of a stock portfolio using Canvas, SVG, and dygraphs.js.
  • Encrypt Notes and OCR Scan: Encrypts notes in local storage and scans a receipt using optical character recognition.
  • Sales Graphs:Calculates and displays multiple views of sales data using InfoVis and d3.js.
  • Online Homework:Performs science and English assignment tasks using Web Workers and Typo.js spell check.

What new technologies or workload scenarios should we add? Are there any existing features we should remove? Would you be interested in an associated battery life test? We want to hear your thoughts and ideas about WebXPRT, so please tell us what you think!

Justin

CloudXPRT development news

Last month, Bill announced that we were starting work on a new data center benchmark. CloudXPRT will measure the performance of modern, cloud-first applications deployed on infrastructure as a service (IaaS) platformson-premises platforms, externally hosted platforms, and hybrid clouds that use a mix of the two. Our ultimate goal is for CloudXPRT to use cloud-native components on an actual stack to produce end-to-end performance metrics that can help users determine the right IaaS configuration for their business.

Today, we want to provide a quick update on CloudXPRT development and testing.

  • Installation. We’ve completely automated the CloudXPRT installation process, which leverages Kubernetes or Ansible tools depending on the target platform. The installation processes differ slightly for each platform, but testing is the same.
  • Workloads. We’re currently testing potential workloads that focus on three areas: web microservices, data analytics, and container scaling. We might not include all of these workloads in the first release, but we’ll keep the community informed and share more details about each workload as the picture becomes clearer. We are designing the workloads so that testers can use them to directly compare IaaS stacks and evaluate whether any given stack can meet service level agreement (SLA) thresholds.
  • Platforms. We want CloudXPRT to eventually support testing on a variety of popular externally hosted platforms. However, constructing a cross-platform benchmark is complicated and we haven’t yet decided which external platforms the first CloudXPRT release will support. We’ve successfully tested the current build with on-premises IaaS stacks and with one externally hosted platform, Amazon Web Services. Next, we will test the build on Google Cloud Hosting and Microsoft Azure.
  • Timeline. We are on track to meet our target of releasing a CloudXPRT preview build in late March and the first official build about two months later. If anything changes, we’ll post an updated timeline here in the blog.

If you would like to share any thoughts or comments related to CloudXPRT or cloud benchmarking, please feel free to contact us.

Justin

Principled Technologies and the BenchmarkXPRT Development Community make the AIXPRT source code available to the public

Durham, NC, February 18 — Principled Technologies and the BenchmarkXPRT Development Community release the source code for the AIXPRT benchmark to the public. AIXPRT is a free tool that allows users to evaluate a system’s machine learning inference performance by running common image-classification, object detection, and recommender system workloads.

“Publishing the AIXPRT source code is part of our commitment to making the XPRT development process as transparent as possible,” said Bill Catchings, co-founder of Principled Technologies, which administers the BenchmarkXPRT Development Community. “By allowing all interested parties to download and review our source code, we’re taking tangible steps to improve openness in the benchmarking industry.”

To access the AIXPRT source code, visit the AIXPRT GitHub repository at https://github.com/BenchmarkXPRT/AIXPRT.

AIXPRT includes support for the Intel© OpenVINO™, TensorFlow™, and NVIDIA© TensorRT™ toolkits to run image-classification and object-detection workloads with the ResNet-50 and SSD-MobileNet v1 networks, as well as the MXNet™ toolkit with a Wide and Deep recommender system workload. The test reports FP32, FP16, and INT8 levels of precision.

To access AIXPRT, visit www.AIXPRT.com.

AIXPRT is part of the BenchmarkXPRT suite of performance evaluation tools, which includes WebXPRT, CrXPRT, MobileXPRT, TouchXPRT, and HDXPRT. The XPRTs help users get the facts before they buy, use, or evaluate tech products such as computers, tablets, and phones.

To learn more about the BenchmarkXPRT Development Community, go to www.BenchmarkXPRT.com or contact a BenchmarkXPRT Development Community representative directly by sending a message to BenchmarkXPRTsupport@PrincipledTechnologies.com.

About Principled Technologies, Inc.
Principled Technologies, Inc. is a leading provider of technology marketing, as well as learning and development services. It administers the BenchmarkXPRT Development Community.

Principled Technologies, Inc. is located in Durham, North Carolina, USA. For more information, please visit www.PrincipledTechnologies.com.

Company Contact
Justin Greene
BenchmarkXPRT Development Community
Principled Technologies, Inc.
1007 Slater Road, Ste. 300
Durham, NC 27704
BenchmarkXPRTsupport@PrincipledTechnologies.com

CloudXPRT is on the way

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

Check out the other XPRTs: