** = Old results marked were performed with the original BIOS & boost behaviour as published on 7/7.

Benchmarking Performance: CPU 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 typically single thread limited, but we see here that at some point it also becomes core-resource limited. Having access to more resources per thread in a non-HT environment helps the 8C/8T and 6C/6T processors get ahead of both of the 5.0 GHz parts in our testing.

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

With a non-AVX code base, the 9900K shows the IPC and frequency improvements over the R7 2700X, although in reality it is not as big of a percentage jump as you might imagine. The processors without HT get pushed back a bit here.

3D Particle Movement v2.1 (with AVX)

 

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

 

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)

 

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

 

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 use version 1.3.3 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. 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

 

Benchmarking Performance: Web Tests Benchmarking Performance: CPU Rendering Tests
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  • Death666Angel - Tuesday, July 9, 2019 - link

    Well, the thing is that motherboard manufacturers, motherboard revisions, motherboard layout and BIOS versions do play a role as well, though. The memory controller is just one piece of the puzzle. If you have a CPU with a great memory controller, it doesn't mean it performs the same on all boards. And it doesn't mean it performs the same with all RAM either. Sometimes the actual traces on motherboards are crap for certain clockspeeds. Sometimes the BIOS numbers for secondary and tertiary timings are crap at certain clockspeeds and get better in later revisions, seemingly allowing for better memory clockspeeds when it really was just a question of auto vs manual if you knew what you were doing. Sometimes the SoC voltage is worse on that board vs the other and that influences things. The thing is, across the board, X570 motherboards have higher advertised OC clockspeeds for the memory and Ryzen 3000 has higher guaranteed clockspeeds. And Anandtech believes that is the thing that counts, not if you can get x clockspeed stable. At least in the vanilla CPU articles. They do separate RAM articles often.
  • BLu3HaZe - Tuesday, July 9, 2019 - link

    "Some motherboard vendors are advertising speeds of up to DDR4-4400 which until Zen 2, was unheard of. Zen 2 also marks a jump up to DDR4-3200 up from DDR4-2933 on Zen+, and DDR4-2667 on Zen."

    How about now? :)

    And I believe the authors mean to say that official support for is up to 3200 on X570 boards, while older boards were rated lower "officially" corresponding to the generation they launched with. Speeds above that would be listed with (OC) clearly marked in memory support.
    Anything above the 'rated' speeds, you're technically overclocking the Infinity Fabric until you run in 2:1 mode which is only on Zen 2 anyhow, so your mileage will definitely vary.

    Even the 9900K 'officially' supports only DDR4-2666 but we all know how high it can go without any issues combined with XMP OC.
  • Ratman6161 - Wednesday, July 10, 2019 - link

    In Zen and Zen +, the infinity fabric speed was tied to the memory speed. So overclock the RAM and you were also overclocking the infinity fabric. In Zen 2 infinity fabric is independent of the RAM speed.
  • Targon - Monday, July 8, 2019 - link

    I am curious about the DDR4-3200 CL16 memory in the Ryzen test. CL16 RAM is considered the "cheap crap" when it comes to DDR4-3200, and my own Hynix M-die garbage memory is exactly that, G.skill Ripjaws V 3200CL16. On first generation Ryzen, getting it to 3200 speeds just hasn't happened, and I know that for gaming, CL16 vs. CL14 is enough to cause the slight loss to Intel(meaning Intel wouldn't have the lead in the gaming tests).
  • Ninjawithagun - Monday, July 8, 2019 - link

    Regardless of whether or not a 'crap' DRAM kit having CL16 vs. a much more expensive kit with lower CL rating, it isn't going to make any significant difference in performance. This has been proven again and again.
  • Ratman6161 - Wednesday, July 10, 2019 - link

    "CL16 RAM is considered the "cheap crap" when it comes to DDR4-3200"

    Since when? Yes its cheap(er) but I'd disagree with the "crap" part. I needed 32 Gb of RAM so that's either 2x16 with 16 GB modules usually being double sided (a crap shoot) or 4x8 with 4 modules being a crap shoot. Looking at current pricing (not the much higher prices from back when I bought) New egg has the G-skill ripjaws 2x16 CAS 16 kit for $135 while the Trident Z 2x16 CAS 15 for $210 or the CAS 14 Trident Z for $250. So I'd be paying $75 to $115 more...for something that isn't likely to do any better in my real world configuration. Even if I could hit its advertised CAS 15 or 14, how much is that worth. So I'd say the RipJaws is not "cheap crap". Its a "value" :)
  • Domaldel - Wednesday, July 10, 2019 - link

    It's considered "cheap crap" because you can't guarantee that it's Samsung B-die at those speeds while you can with DDR4 3200 MHz CL14 as nothing else is able to reach those speeds and latencies then a good B-die.
    What that means is that you can actually have a shot at manually overclocking it further while keeping compatibility with Ryzen (if you tweak the timings and sub-timings) while you couldn't really with other memory kids on the first two generations of Ryzen.
    I don't have a Ryzen 3xxx series of chip so I can't really comment on those...
  • WaltC - Monday, July 15, 2019 - link

    Since about the 2nd AGESA implementation, on my original x370 Ryzen 1 mboard, my "cheap crap"...;)...Patriot Viper Elite 16CL 2x8GB has had no problem with 3200Mhz at stock timings. used the same on a x47- mboard, and now it's running at 3200MHz on my x570 Aorus Master board--no problems.
  • jgraham11 - Tuesday, July 16, 2019 - link

    DDR4 3200 is apparently not an overclock. Says so on AMD's specs page for the 3700X

    https://www.amd.com/en/products/cpu/amd-ryzen-7-37...
  • RoboJ1M - Sunday, July 7, 2019 - link

    Wait, the memory controllers on the IO for Zen 2, right?
    I'm sure it's on the IO Die.

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