HEDT Performance: Web and Legacy Tests

While more the focus of low-end and small form factor systems, web-based benchmarks are notoriously difficult to standardize. Modern web browsers are frequently updated, with no recourse to disable those updates, and as such there is difficulty in keeping a common platform. The fast paced nature of browser development means that version numbers (and performance) can change from week to week. Despite this, web tests are often a good measure of user experience: a lot of what most office work is today revolves around web applications, particularly email and office apps, but also interfaces and development environments. Our web tests include some of the industry standard tests, as well as a few popular but older tests.

We have also included our legacy benchmarks in this section, representing a stack of older code for popular benchmarks.

All of our benchmark results can also be found in our benchmark engine, Bench.

WebXPRT 3: Modern Real-World Web Tasks, including AI

The company behind the XPRT test suites, Principled Technologies, has recently released the latest web-test, and rather than attach a year to the name have just called it ‘3’. This latest test (as we started the suite) has built upon and developed the ethos of previous tests: user interaction, office compute, graph generation, list sorting, HTML5, image manipulation, and even goes as far as some AI testing.

For our benchmark, we run the standard test which goes through the benchmark list seven times and provides a final result. We run this standard test four times, and take an average.

Users can access the WebXPRT test at http://principledtechnologies.com/benchmarkxprt/webxprt/

WebXPRT 3 (2018)

WebXPRT 2015: HTML5 and Javascript Web UX Testing

The older version of WebXPRT is the 2015 edition, which focuses on a slightly different set of web technologies and frameworks that are in use today. This is still a relevant test, especially for users interacting with not-the-latest web applications in the market, of which there are a lot. Web framework development is often very quick but with high turnover, meaning that frameworks are quickly developed, built-upon, used, and then developers move on to the next, and adjusting an application to a new framework is a difficult arduous task, especially with rapid development cycles. This leaves a lot of applications as ‘fixed-in-time’, and relevant to user experience for many years.

Similar to WebXPRT3, the main benchmark is a sectional run repeated seven times, with a final score. We repeat the whole thing four times, and average those final scores.

WebXPRT15

Speedometer 2: JavaScript Frameworks

Our newest web test is Speedometer 2, which is a accrued test over a series of javascript frameworks to do three simple things: built a list, enable each item in the list, and remove the list. All the frameworks implement the same visual cues, but obviously apply them from different coding angles.

Our test goes through the list of frameworks, and produces a final score indicative of ‘rpm’, one of the benchmarks internal metrics. We report this final score.

Speedometer 2

Google Octane 2.0: Core Web Compute

A popular web test for several years, but now no longer being updated, is Octane, developed by Google. Version 2.0 of the test performs the best part of two-dozen compute related tasks, such as regular expressions, cryptography, ray tracing, emulation, and Navier-Stokes physics calculations.

The test gives each sub-test a score and produces a geometric mean of the set as a final result. We run the full benchmark four times, and average the final results.

Google Octane 2.0

Mozilla Kraken 1.1: Core Web Compute

Even older than Octane is Kraken, this time developed by Mozilla. This is an older test that does similar computational mechanics, such as audio processing or image filtering. Kraken seems to produce a highly variable result depending on the browser version, as it is a test that is keenly optimized for.

The main benchmark runs through each of the sub-tests ten times and produces an average time to completion for each loop, given in milliseconds. We run the full benchmark four times and take an average of the time taken.

Mozilla Kraken 1.1

3DPM v1: Naïve Code Variant of 3DPM v2.1

The first legacy test in the suite is the first version of our 3DPM benchmark. This is the ultimate naïve version of the code, as if it was written by scientist with no knowledge of how computer hardware, compilers, or optimization works (which in fact, it was at the start). This represents a large body of scientific simulation out in the wild, where getting the answer is more important than it being fast (getting a result in 4 days is acceptable if it’s correct, rather than sending someone away for a year to learn to code and getting the result in 5 minutes).

In this version, the only real optimization was in the compiler flags (-O2, -fp:fast), compiling it in release mode, and enabling OpenMP in the main compute loops. The loops were not configured for function size, and one of the key slowdowns is false sharing in the cache. It also has long dependency chains based on the random number generation, which leads to relatively poor performance on specific compute microarchitectures.

3DPM v1 can be downloaded with our 3DPM v2 code here: 3DPMv2.1.rar (13.0 MB)

3DPM v1 Single Threaded3DPM v1 Multi-Threaded

x264 HD 3.0: Older Transcode Test

This transcoding test is super old, and was used by Anand back in the day of Pentium 4 and Athlon II processors. Here a standardized 720p video is transcoded with a two-pass conversion, with the benchmark showing the frames-per-second of each pass. This benchmark is single-threaded, and between some micro-architectures we seem to actually hit an instructions-per-clock wall.

x264 HD 3.0 Pass 1x264 HD 3.0 Pass 2

HEDT Performance: Office Tests HEDT Performance: SYSMark 2018
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  • nadim.kahwaji - Tuesday, November 13, 2018 - link

    Niceeee , keep up the great work Ian ‘:)
  • AshlayW - Tuesday, November 13, 2018 - link

    In my opinion the entire Intel HEDT lineup is a joke. And the 9980XE: $180 more for literally just a bit over *half* the cores and threads. Sure it has better lightly threaded performance but surely that's not the intention of this processor, and surely it is not worth charging this insane 'Intel Tax' premium for it.
  • TEAMSWITCHER - Tuesday, November 13, 2018 - link

    Intel is free to charge whatever they want for a device that I have zero intention of purchasing. Most professionals I know have stopped using desktop computers for their daily drivers. The Dell XPS 15 and Apple's 15" MacBook Pro seam to be the weapons of choice these days. These products surely have their uses, but in the real world, most users are happy to sacrifice absolute performance for mobility.
  • imaheadcase - Tuesday, November 13, 2018 - link

    Most be a strange world you live on. Mobile won't ever be anything close to a desktop for daily tasks. I don't know any professional who have did that. They use mobile devices mainly to view items they did on desktop, not for working.
  • TEAMSWITCHER - Tuesday, November 13, 2018 - link

    Really? I work in software development (WEB, C++, OpenGL, and yes our own ray tracing engine) We have one guy with a desktop, the rest of the developers use either an XPS 15, a MacBook Pro, and one guy with a Surface Book. All were given a choice...this was the result.

    Interesting story about how we got here... Windows used to be a requirement for developing browser plugins. But with the move to Web Assembly, we can now compile and test our plugin on the Mac just as easily as we do on Windows. While many fanboys will lament this change .. I personally love it!

  • Endda - Tuesday, November 13, 2018 - link

    Yea, for code development only. Mobility has been the choice for that for years.

    Not everyone is a coder though. Some need these desktops for rendering big animations, videos, etc. You're simply not going to do that in any meaningful way on a laptop
  • PeachNCream - Tuesday, November 13, 2018 - link

    Rendering and production work can indeed happen on laptop hardware. I don't argue that desktop hardware with fewer limits on TDP and storage aren't a faster way to accomplish the same tasks, but as Team noted, given a choice, a lot of people opt for mobility over raw compute power.
  • nerd1 - Tuesday, November 13, 2018 - link

    It's a big joke to use XPS or Macbook GPU to do anything intensive. It's good for remote code editing though (except macbooks with absolute terrible keyboard)
  • TEAMSWITCHER - Tuesday, November 13, 2018 - link

    Define "intensive." Our software does real-time (WebGL) and photo-realistic (ray-tracing) rendering. I suppose that a Path Tracing engine would be MORE intensive. But the goal of our software is to be as ubiquitous as possible. We support the iPad and some Android tablets.
  • linuxgeex - Wednesday, November 14, 2018 - link

    There's your answer: anything that runs on iPad and Android Tablets is not "intensive". I'll grant you that it's "intensive" compared to what we were doing on workstations a decade ago, and mobile is closing the gap... but a workstation today has 24-56 cores (not threads) at 5Ghz and dual NVidia 2080 GPUs. You can get a 12-core CPU and dual 1080 in the pinnacle gaming laptops but they don't have ECC or the certifications of a workstation. At best they have half to 2/3 the performance. If you're paying your engineers by the hour you don't want them sitting on their hands twice as long. But I can see how they might make that choice for themselves. You make an excellent point there, lol.

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