Benchmarking Performance: CPU System Tests

Our first set of tests is our general system tests. These set of tests are meant to emulate more about what people usually do on a system, like opening large files or processing small stacks of data. This is a bit different to our office testing, which uses more industry standard benchmarks, and a few of the benchmarks here are relatively new and different.

PDF Opening

First up is a self-penned test using a monstrous PDF we once received in advance of attending an event. While the PDF was only a single page, it had so many high-quality layers embedded it was taking north of 15 seconds to open and to gain control on the mid-range notebook I was using at the time. This put it as a great candidate for our 'let's open an obnoxious PDF' test. Here we use Adobe Reader DC, and disable all the update functionality within. The benchmark sets the screen to 1080p, opens the PDF to in fit-to-screen mode, and measures the time from sending the command to open the PDF until it is fully displayed and the user can take control of the software again. The test is repeated ten times, and the average time taken. Results are in milliseconds.

System: PDF Opening with Adobe Reader DC

The extra frequency of the new processors is helping when it comes to opening our monster PDF, but also the extra L2 cache is likely having an effect as well.

FCAT Processing

One of the more interesting workloads that has crossed our desks in recent quarters is FCAT - the tool we use to measure stuttering in gaming due to dropped or runt frames. The FCAT process requires enabling a color-based overlay onto a game, recording the gameplay, and then parsing the video file through the analysis software. The software is mostly single-threaded, however because the video is basically in a raw format, the file size is large and requires moving a lot of data around. For our test, we take a 90-second clip of the Rise of the Tomb Raider benchmark running on a GTX 980 Ti at 1440p, which comes in around 21 GB, and measure the time it takes to process through the visual analysis tool.

System: FCAT Processing ROTR 1440p GTX1080 Data

FCAT takes in a frame, processes it and dumps it, all on a single thread. The quicker you get through the workload the better, and frequency is supreme, hence we get the 7820X followed by the 7800X then the 7900X. Even though the 7900X has the higher turbo here, the results are with the margin expected.

3D Particle Movement v2.1

This is the latest version of the self-penned 3DPM benchmark. The goal of 3DPM is to simulate semi-optimized scientific algorithms taken directly from my doctorate thesis. Version 2.1 improves over 2.0 by passing the main particle structs by reference rather than by value, and decreasing the amount of double->float->double recasts the compiler was adding in. It affords a ~25% speed-up over v2.0, which means new data.

System: 3D Particle Movement v2.1

Give 3DPMv2.1 some cores, and it will show you the world / some numbers. The 1800X and 6950X were gunning for top spot, but the extra frequency of the 7900X wins here.

DigiCortex 1.20

Despite being a couple of years old, the DigiCortex software is a pet project for the visualization of neuron and synapse activity 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. The results on the output are given as a fraction of whether the system can simulate in real-time, so anything above a value of one is suitable for real-time work. The benchmark offers a 'no firing synapse' mode, which in essence detects DRAM and bus speed, however we take the firing mode which adds CPU work with every firing.

System: DigiCortex 1.20 (32k Neuron, 1.8B Synapse)

DigiCortex loves a bit of memory, although when speaking with the developer, there can some instances where the beast needs to be fed. Losing the inclusive L3 might be a factor here, especially with the 7800X all the way down.

Agisoft Photoscan 1.0

Photoscan stays in our benchmark suite from the previous version, however now we are running on Windows 10 so features such as Speed Shift on the latest processors come into play. The concept of Photoscan is translating many 2D images into a 3D model - so the more detailed the images, and the more you have, the better the model. The algorithm has four stages, some single threaded and some multi-threaded, along with some cache/memory dependency in there as well. For some of the more variable threaded workload, features such as Speed Shift and XFR will be able to take advantage of CPU stalls or downtime, giving sizeable speedups on newer microarchitectures.

System: Agisoft Photoscan 1.0 Total Time

Photoscan is a mixed bag of operations, going through single thread sections to multithread and a range of cache/memory bandwidth requirepements. There's not much difference between thw 10 core and the 8 core, but the frequency helps against Broadwell-E.

Benchmarking Suite 2017 Benchmarking Performance: CPU Rendering Tests
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  • FreckledTrout - Tuesday, June 20, 2017 - link

    If the 16 core Threadripper ends up being higher perfomant, cheaper, and using less power then it this argument wont matter. Im not sure it will win all three but it could.
  • Lolimaster - Tuesday, June 20, 2017 - link

    <$1000 for 16 core Zen, spent your money there, worth the extra over the 8 core Ryzen.
  • Flunk - Tuesday, June 20, 2017 - link

    No, it isn't. In a professional setting it's better to have more, less expensive systems rendering/serving/anything that just needs more processor time. For an additional $1000, I can double my performance rather than getting 20-30% more.
  • FMinus - Thursday, June 22, 2017 - link

    Frankly I was looking at an upcoming 12 core CPU from either AMD or Intel for my render machine, with the EPYC prices announced, I could see myself going with two AMD Threadrippers 12 cores if they keep them under $800. I got most parts, just need motherboards and the chips, and if they really do keep the price under $800 for 12 core TR, I will get two systems for a bit more as just the 12 core CPU from Intel will cost. Granted since I got most other parts I spent that ahead, but still, two systems easily. And of course the power consumption will be higher, but still.
  • someonesomewherelse - Saturday, October 14, 2017 - link

    What about a single processor 24 core (or even 32 core) epyc? Slightly lower clocks but the 32 core's extra cores should make up for it and it's cheaper than 2 12 core threadrippers especially once you factor in the motherboards/ram/... and ease of use.
  • someonesomewherelse - Saturday, October 14, 2017 - link

    With TR being so cheaper you can have two computers rendering which will be almost twice as fast.
  • barleyguy - Saturday, June 24, 2017 - link

    The 1600x has a 4.1 GHz XFR frequency, which requires good cooling but seems to kick in more than other Ryzen processors, likely because of two less cores. So on lightly threaded tasks without manual overclocking, the 1600x is a great choice.

    Manual overclocking changes the picture a bit though. In that case the 1600 and 1700 move up in bang for the buck, as does the i7 7700k.
  • chrysrobyn - Monday, June 19, 2017 - link

    Zen isn't winning anything here, but they're showing up to the party. It's hard to ignore their prices, which are always lower than the Intel chips in the neighborhood (summed up in the conclusion with "Play it cheaper but competitive"), and their power -- 1/3rd less power than the Intel chips nearby -- which I didn't even see addressed?
  • Ian Cutress - Monday, June 19, 2017 - link

    I made the graph, forgot to write about it. Doing so now...

    (I always end up writing through the launch time :D)
  • Ian Cutress - Monday, June 19, 2017 - link

    OK sorry, done. I'm currently in another briefing for something else...

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