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.

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

Application loading is a walk in the park for the Core i9-9990XE. 

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

FCAT is getting fairly unified across all the processors, with only a few percent separating all the Intel parts.

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

When we run our 3DPM test in a standard mode, the 9990XE again sees a slight regression compared to the 7940X, perhaps indicating that the mesh environment needs some extra MHz.

3D Particle Movement v2.1 (with AVX)

When adding AVX512 into the mix, the 9990XE rises up as with all the other Intel HEDT CPUs, but still can only match the slower 7940X despite having the same number of cores. At this point we're more core limited than frequency limited, indicating that there are some pipeline stalls in this test.

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

Dolphin is a heavily single threaded test, so we see the highest frequency from Intel and AMD at the top here.

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)

DigiCortex likes memory frequency and internal speeds more than raw core frequency, and again the 9990XE doesn't perform too well here.

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

y-Cruncher is an AVX-512 accelerated test, and with the high frequency it gets the top score in our ST test. 

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

Agisoft is a variable threaded workload, and it seems the Core i9-9990XE has the best combination of cores and threads.

CPU Performance: Encoding Tests CPU Performance: Office Tests
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  • Supercell99 - Monday, October 28, 2019 - link

    The democrats have banned LN2 in New York as they have deemed it a climate pollutant.
  • xrror - Monday, October 28, 2019 - link

    No they haven't you republican jackass, the Earth's atmosphere is 78% nitrogen.
  • eek2121 - Monday, October 28, 2019 - link

    Because after a while, the system breaks down under LN2 cooling. There is such a thing as silicon being too cold, you know. Google intel cold bug, for example.
  • ravyne - Monday, October 28, 2019 - link

    Have you seen LN2 cooling? It's not really practical for prolonged use -- you have to keep the LN2 flowing, you have to vent the gasses of the expended LN2, you have to resupply the LN2 somehow.

    But you're missing the most important constraint of all for high-frequency trading, which is the reason they're building this processor into just 1 rack unit -- these machines aren't running on some remote data center, they're running in a network closet or very small data center probably just a floor or two away from a major stock exchange, in the same building. There is only so much space to be had. The space that's available is generally auctioned and can run well into 5-figures per month for a single rack unit. That's why they're building the exotic 1U liquid cooling in the first place, it'd be much easier to cool in even 2 units (there's even off-the-shelf radiators, then).
  • edzieba - Thursday, October 31, 2019 - link

    These machines are installed in exchange-owned and managed datacentres. "No LN2" as a rule would scupper that concept from the start, but even if it were allowed then you still have the problem of daily shipments of LN2 into a metropolitan centre, failover if a delivery is missed, dealing with large volumes of N2 gas generated in a city centre, etc. Just a logistical nightmare in general.
  • eek2121 - Monday, October 28, 2019 - link

    It's impossible to cool a system 24/7 with LN2.
  • DixonSoftwareSolutions - Tuesday, October 29, 2019 - link

    I think you probably could do something like that. You would want to run it on a beta system in parallel with your production system for a long time to make sure you had the 99.999999% uptime required. You would have to get pretty down and dirty to make it a 24/7 system. Probably a closed loop LN2 system, and I don't even know what kind of machine is required to condense from gas to liquid. You would also probably want heaters on the other components of the motherboard so that only the die was kept at the target low temp, and other components at the correct operating temp. And you would probably have to submerge the entire thing in some dielectric fluid like mineral oil to prevent condensation from building up. It would be expensive no doubt, but if (m/b)illions are on the line, then why not? Also, before embarking on something like this, you would want to make certain that you had tweaked every last bit of your software, both third party software settings and internally authored code, to minimize latency.
  • willis936 - Monday, October 28, 2019 - link

    Judging from your description I would argue that a traditional PC is a horrible choice for such a problem, given the money at stake. They should be spinning custom ASICs that have the network stack and logic all put together. Even going through a NIC across a PCIe bus and into main memory and back out again is burning thousands of nanoseconds.
  • 29a - Monday, October 28, 2019 - link

    I'm also wondering why they don't create custom silicon for this.
  • gsvelto - Monday, October 28, 2019 - link

    They do, not all HFT trading houses use software running on COTS hardware. Depending on where you go you can find FPGAs and even ASICs. However, not all of them have the expertise to move to hardware solutions; many are tied to their internal sofware and as such they will invest in the fastest COTS hardware money can buy.

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