CPU Performance: System Tests

Our System Test section focuses significantly on real-world testing, user experience, with a slight nod to throughput. In this section we cover application loading time, image processing, simple scientific physics, emulation, neural simulation, optimized compute, and 3D model development, with a combination of readily available and custom software. For some of these tests, the bigger suites such as PCMark do cover them (we publish those values in our office section), although multiple perspectives is always beneficial. In all our tests we will explain in-depth what is being tested, and how we are testing.

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

For our graphs, some of them have two values: a regular value in orange, and one in red called 'Intel Spec'. ASUS offers the option to 'open up' the power and current limits of the chip, so the CPU is still running at the same frequency but is not throttled. Despite Intel saying that they recommend 'Intel Spec', the system they sent to us to test was actually set up with the power limits opened up, and the results they provided for us to compare to internally also correlated with that setting. As a result, we're providing both sets results for our CPU tests.

Application Load: GIMP 2.10.4

One of the most important aspects about user experience and workflow is how fast does a system respond. A good test of this is to see how long it takes for an application to load. Most applications these days, when on an SSD, load fairly instantly, however some office tools require asset pre-loading before being available. Most operating systems employ caching as well, so when certain software is loaded repeatedly (web browser, office tools), then can be initialized much quicker.

In our last suite, we tested how long it took to load a large PDF in Adobe Acrobat. Unfortunately this test was a nightmare to program for, and didn’t transfer over to Win10 RS3 easily. In the meantime we discovered an application that can automate this test, and we put it up against GIMP, a popular free open-source online photo editing tool, and the major alternative to Adobe Photoshop. We set it to load a large 50MB design template, and perform the load 10 times with 10 seconds in-between each. Due to caching, the first 3-5 results are often slower than the rest, and time to cache can be inconsistent, we take the average of the last five results to show CPU processing on cached loading.

AppTimer: GIMP 2.10.4

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FCAT: Image Processing

The FCAT software was developed to help detect microstuttering, dropped frames, and run frames in graphics benchmarks when two accelerators were paired together to render a scene. Due to game engines and graphics drivers, not all GPU combinations performed ideally, which led to this software fixing colors to each rendered frame and dynamic raw recording of the data using a video capture device.

The FCAT software takes that recorded video, which in our case is 90 seconds of a 1440p run of Rise of the Tomb Raider, and processes that color data into frame time data so the system can plot an ‘observed’ frame rate, and correlate that to the power consumption of the accelerators. This test, by virtue of how quickly it was put together, is single threaded. We run the process and report the time to completion.

FCAT Processing ROTR 1440p GTX980Ti Data

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3D Particle Movement v2.1: Brownian Motion

Our 3DPM test is a custom built benchmark designed to simulate six different particle movement algorithms of points in a 3D space. The algorithms were developed as part of my PhD., and while ultimately perform best on a GPU, provide a good idea on how instruction streams are interpreted by different microarchitectures.

A key part of the algorithms is the random number generation – we use relatively fast generation which ends up implementing dependency chains in the code. The upgrade over the naïve first version of this code solved for false sharing in the caches, a major bottleneck. We are also looking at AVX2 and AVX512 versions of this benchmark for future reviews.

For this test, we run a stock particle set over the six algorithms for 20 seconds apiece, with 10 second pauses, and report the total rate of particle movement, in millions of operations (movements) per second. We have a non-AVX version and an AVX version, with the latter implementing AVX512 and AVX2 where possible.

3DPM v2.1 can be downloaded from our server: 3DPMv2.1.rar (13.0 MB)

3D Particle Movement v2.1

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3D Particle Movement v2.1 (with AVX)

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Dolphin 5.0: Console Emulation

One of the popular requested tests in our suite is to do with console emulation. Being able to pick up a game from an older system and run it as expected depends on the overhead of the emulator: it takes a significantly more powerful x86 system to be able to accurately emulate an older non-x86 console, especially if code for that console was made to abuse certain physical bugs in the hardware.

For our test, we use the popular Dolphin emulation software, and run a compute project through it to determine how close to a standard console system our processors can emulate. In this test, a Nintendo Wii would take around 1050 seconds.

The latest version of Dolphin can be downloaded from https://dolphin-emu.org/

Dolphin 5.0 Render Test

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DigiCortex 1.20: Sea Slug Brain Simulation

This benchmark was originally designed for simulation and visualization of neuron and synapse activity, as is commonly found in the brain. The software comes with a variety of benchmark modes, and we take the small benchmark which runs a 32k neuron / 1.8B synapse simulation, equivalent to a Sea Slug.

Example of a 2.1B neuron simulation

We report the results as the ability to simulate the data as a fraction of real-time, so anything above a ‘one’ is suitable for real-time work. Out of the two modes, a ‘non-firing’ mode which is DRAM heavy and a ‘firing’ mode which has CPU work, we choose the latter. Despite this, the benchmark is still affected by DRAM speed a fair amount.

DigiCortex can be downloaded from http://www.digicortex.net/

DigiCortex 1.20 (32k Neuron, 1.8B Synapse)

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y-Cruncher v0.7.6: Microarchitecture Optimized Compute

I’ve known about y-Cruncher for a while, as a tool to help compute various mathematical constants, but it wasn’t until I began talking with its developer, Alex Yee, a researcher from NWU and now software optimization developer, that I realized that he has optimized the software like crazy to get the best performance. Naturally, any simulation that can take 20+ days can benefit from a 1% performance increase! Alex started y-cruncher as a high-school project, but it is now at a state where Alex is keeping it up to date to take advantage of the latest instruction sets before they are even made available in hardware.

For our test we run y-cruncher v0.7.6 through all the different optimized variants of the binary, single threaded and multi-threaded, including the AVX-512 optimized binaries. The test is to calculate 250m digits of Pi, and we use the single threaded and multi-threaded versions of this test.

Users can download y-cruncher from Alex’s website: http://www.numberworld.org/y-cruncher/

y-Cruncher 0.7.6 Single Thread, 250m Digitsy-Cruncher 0.7.6 Multi-Thread, 250m Digits

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Agisoft Photoscan 1.3.3: 2D Image to 3D Model Conversion

One of the ISVs that we have worked with for a number of years is Agisoft, who develop software called PhotoScan that transforms a number of 2D images into a 3D model. This is an important tool in model development and archiving, and relies on a number of single threaded and multi-threaded algorithms to go from one side of the computation to the other.

In our test, we take v1.3.3 of the software with a good sized data set of 84 x 18 megapixel photos and push it through a reasonably fast variant of the algorithms, but is still more stringent than our 2017 test. We report the total time to complete the process.

Agisoft’s Photoscan website can be found here: http://www.agisoft.com/

Agisoft Photoscan 1.3.3, Complex Test

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Our New Testing Suite for 2018 and 2019 CPU Performance: Rendering Tests
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  • silverblue - Thursday, January 31, 2019 - link

    Future bought the bulk of Purch not too long ago, but if it's same old same old, then I agree.
  • Cooe - Wednesday, January 30, 2019 - link

    Until these benches are all repeated in Linux all of these results are wortheless. Nobody would buy these CPU's for a Windows machine, and the 2990WX is totally borked by running in Windows as well.
  • WasHopingForAnHonestReview - Wednesday, January 30, 2019 - link

    True but the 2990WX is 1300$ cheaper and gives roughly the same performance. No one is going to buy this intel chip unless they have money to burn.
  • maroon1 - Wednesday, January 30, 2019 - link

    Same performance ?! Did you look a the benchmarks ?! w-3175x is cleary winning in majority of benchmarks (and some benchmarks should big advantage for w-3175x)

    I agree about price, but performance is not same
  • MattZN - Wednesday, January 30, 2019 - link

    It depends on what precise application(s) you are running. But yes, the performance is about the same. Those benchmarks are pretty broken for a host of reasons... windows scheduler nonwithstanding, looking at a bunch of benchmarks doesn't really tell you a whole lot about how a machine will work in your actual environment.

    All that matters is whether the machine's performance affects your workflow in a noticeable way or not. Nobody is going to justify buying something like this if all they get out of it is a 15 minute faster encoding on a 2-hour job. Imagine that! Let alone a few seconds here and there, or a slightly slower or faster frame rate. For longer jobs you'll notice if something takes half the time. You won't notice if something is 20% slower or 20% faster. You just won't.

    Many video encoding workloads are GPU accelerated, for example. Many are run as overnight batches, for example. If you go through all the benchmarks in this article, almost none of them are even remotely relevant to actual use cases. The Blender one maybe, Handbrake, and Adobe Premier and that's just about it. And surprise, surprise, the TR2950X or TR2990WX actually wins some of those.

    For example, does anyone actually care how fast 7-zip runs? I sure as heck don't! I zip something up, it's well neigh instantaneous on just about any machine. Encryption? Nobody cares, it isn't a use case that anyone will notice. Office applications like spreadsheets? Come on... that's ridiculous. A 2-core mobile CPU can update a spreadsheet just as fast as one of these behemoths.

    -Matt
  • GreenReaper - Thursday, January 31, 2019 - link

    It does kinda matter for server-level ctivities. Say you have a SQL dump that you want to backup without using too much transfer. You can't run nightly backups until it's done. Even compressed it's 4GB. I use xz but it's essentially the same as 7-zip. More threads and faster threads can make a significant difference in run time, and in turn this impacts when you can backup or how much data you can handle on the system.

    I think you may be mistaken about the 20% difference if it effectively means you have to pay 20% more people. The question, as always, is is the price and other costs associated worth the improvement.
  • FMinus - Friday, February 1, 2019 - link

    Why would you do any of that on this chip that sucks 600W, for all of your listed task a dedicated server chip would be better, you run them in batches over night as said, so the speed really does not matter at that point.

    This chip here is intended as a workstation work horse, and yes, with the price of the single chip and the expensive motherboards (which we still don't know if they will be available to the end-user directly) makes this an quite pointless platform, except if you are running Adobe Premiere 24/7.

    For everything else you are better of with the cheaper AMD and Intel solutions, and you can get multiple systems of those for the price of one of these 3175X systems, split the work load or make them work together and they deliver faster results.
  • tamalero - Friday, February 1, 2019 - link

    Not everyone has access to full blown server rendering farms. A lot of remote workers or freelancers would render with this "behemoth". Not everyone can blow 10,000 USD to have a bunch of EPYC servers just standing by.

    Still.. This thing doesnt seem THAT good compared to AMD's (both price, performance and power usage) to justify it.
    only the AVX512 benches I guess.

    But then.. Zen2 is supposed to double the output of AVX if I remember correctly.
  • WasHopingForAnHonestReview - Thursday, January 31, 2019 - link

    7zip and some specific renders... The time saving isnt much. Its not even close to make this a worthwhile buy. When you take into account the windows scheduler bug fix coming... The amd TR for $1300 is still the obvious winner.
  • eddman - Wednesday, January 30, 2019 - link

    "No one is going to buy this intel chip unless they have money to burn."

    So it's not "No one" then.

    I suppose 3D modeling and rendering studios or individuals that have lots of customers will probably be quite ok with buying these. That price is nothing compared to their income. They probably care more about reducing rendering time than saving a few thousand dollars, which they can recoup in probably a week or two.

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