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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  • edzieba - Thursday, October 31, 2019 - link

    An ASIC has a significant (many months to years) lead time between "we need X design" and functioning silicon. Trading algorithms are a constant arms race being updated to counter others' algorithm changes (who then counter your counters, etc) on the days to hours timescales.
  • shtldr - Tuesday, October 29, 2019 - link

    If you've got all the money (which you should, in case you are a successful algorithmic trader), why not go ASIC?
  • Dribble - Monday, October 28, 2019 - link

    It's not as simple as you need hundreds of threads or you need one. Compiling is an obvious example. You have a mixture of tasks - some take more threads (e.g. you have a large number of files in a makefile you can compile at once), some take less threads (you have a smaller makefile with only a few files), some take one thread (you need to link).
    A chip like this with 14 cores and very high single thread performance it turns out is ideal for this sort of task.
    Compiling is very much not a niche market.
  • eek2121 - Monday, October 28, 2019 - link

    Word (in the article) is that it helps with web browsing as well. So there is that. ;)

    That being said, I don't look at this CPU as being competitive to AMD offerings simply because you can't buy the thing. However it is nice to see that Intel can do something if they put their mind to it.
  • bananaforscale - Thursday, October 31, 2019 - link

    Well, multiple cores *do* help with web browsing, doesn't mean you need 14@5 GHz. :D
  • MattZN - Tuesday, October 29, 2019 - link

    You don't need all those cores running on a single platform to do HFT. In fact, that winds up being a negative because all the cores are competing for memory cycles. Instead what you want to do is mirror (not split, but do a full mirror) the packet stream to a whole bunch of platforms with fewer cores which can then maximally leverage their memory bandwidth and CPU caches. You also filter the packets inside the NIC itself, not with the CPU.

    You also don't need to have a high-frequency CPU to minimize response time. The CPU is calculating outcomes from likely moves way ahead of time, long before actually receiving any packet telling it what movement actually happened. When the packet comes in, the CPU really only needs to look up the appropriate response from a table that has already been calculated. In fact, the NIC itself could do the table lookup for certain actions and bypass the CPU entirely.

    So you want lots of cores, but they don't actually have to be ultra fast. Anyone using something like this processor to try to 'get ahead' in the HFT game is going to be in for a big surprise.

    -Matt
  • Spunjji - Wednesday, October 30, 2019 - link

    Thanks for the clarification. I thought that leaning on a single, many-core high-frequency CPU for this sort of task sounded a lot like optimising the wrong part of the whole process.
  • peevee - Monday, October 28, 2019 - link

    That's the point. It does not make them much money, the volume is simply not there. It is for INTEL's bragging.
  • eek2121 - Monday, October 28, 2019 - link

    They likely auction the chips due to the aggressive binning required. I expect if they could roll out this kind of chip easily, they would have already. Think: 10 chips for every 100,000 can do 4-5 GHz @ 14 cores, 255 watt TDP.
  • lazarpandar - Monday, October 28, 2019 - link

    So if you have an absurd amount of money and can't scale with more cores beyond 14...

    What a stupid product.

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