HEDT Benchmarks: 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.

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 arduious 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 Benchmarks: Encoding Tests Power Consumption, TDP, and Prime95 vs POV-Ray
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  • just4U - Monday, August 13, 2018 - link

    Ian, were you testing this with the CM Wraith Cooler? If not is it something you plan to review?
  • Ian Cutress - Monday, August 13, 2018 - link

    Most of the testing data is with the Liqtech 240 liquid cooler, rated at 500W. I do have data taken with the Wraith Ripper, and I'll be putting some of that data out when this is wrapped up.
  • IGTrading - Monday, August 13, 2018 - link

    To be honest, with the top of the line 32core model, it is interesting to identify as many positive effect cases as possible, to see if that entire set of applications that truly benefit of the added cores will persuade power users to purchase it.

    Like you've said, it is a niche of a niche and seeing it be X% faster of Y% slower is not as interesting as seeing what it can actually do when it is used efficiently and if this this makes a compelling argument for power users.
  • PixyMisa - Tuesday, August 14, 2018 - link

    Phoronix found that a few tests ran much faster on Linux - for 7zip compression in particular, 140% faster (as in, 2.4x). Some of these benchmarks could improve a lot with some tweaking to the Windows scheduler.
  • phoenix_rizzen - Wednesday, August 15, 2018 - link

    It'd be interesting to redo these tests on a monthly basis after Windows/BIOS updates are done, to see how performance changes over time as the Windows side of things is tweaked to support the new NUMA setup for TR2.

    At the very least, a follow-up benchmark run in 6 months would be nice.
  • Kevin G - Monday, August 13, 2018 - link

    Chiplets!

    The power consumption figures are interesting but TR does have to manage one thing that the high end desktop chips from Intel don't: off-die traffic. The amount of power to move data off die is significantly higher than moving it around on-die. Even in that context, TR's energy consumption for just the fabric seems high. When only threads are loaded, they should only be with dies with the memory controllers leaving two dies idle. It doesn't appear that the fabric is powering down while those remote dies are also powering down. Any means of watching cores enter/exit sleep states in real time?

    I'd also be fun to see with Windows Server what happens when all the cores on a die are unplugged from the system. Consdiering the AMD puts the home agent on the memory controller on each die, even without cores or memory attached, chances are that the home agent is still alive consuming power. It'd be interesting to see what happens on Sky Lake-SP as well if the home agents on the grid eventually power themselves down when there is nothing directly connected to them. It'd be worth comparing to the power consumption when a core is disabled in BIOS/EFI.

    I also feel that this would be a good introduction for what is coming down the road with server chips and may reach the high end consumer products: chiplets. This would permit the removal of the off-die Infinity Links for something that is effectively on-die throughout the cluster of dies. That alone will save AMD several watts. The other thing about chiplets is that it would greatly simplify Thread Ripper: only two memory controller chiplets would be to be in the package vs. four as we have now. That should save AMD lots of power. (And for those reading this comment, yes, Intel has chiplet plans as well.). The other thing AMD could do is address how their cache coherency protocols work. AMD has hinted at some caching changes for Zen 2 but lacks specificity.
  • gagegfg - Monday, August 13, 2018 - link

    do not seem to exist more than once the 16 additional core of the 2990wx compared to the 2950x
  • Ian Cutress - Monday, August 13, 2018 - link

    https://www.anandtech.com/bench/product/2133?vs=21...
  • Chaitanya - Monday, August 13, 2018 - link

    Built for scientific workload.
  • woozle341 - Monday, August 13, 2018 - link

    Do you think the lack of AVX512 is an issue? I might build a workstation soon for data processing with R and Python for some Fortran models and post-processing. Skylake-X looks pretty good wit its quad memory channels despite its high price.

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