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

As a single threaded test, application loading is a key part of the user experience. Unfortunately the AMD 200GE is 21% slower in this case.

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

In a similar light, the single threaded nature of this test shines on an AMD processor that is 18.6% slower than the Intel competition.

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

For pure unoptimized throughput, both processors are similar in the 3DPM test.

3D Particle Movement v2.1 (with AVX)

But if we crank on the tuned AVX code, the AMD 200GE scores a big win. On the Pentium, the different code path had almost zero effect, with less than a 10% increase in performance, but the 200GE went up by a good 60% by comparison.

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

Our emulation test has always been a strong performer for Intel CPUs.

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.

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)

On this more memory limited test, the official supported frequency of the 200GE comes into play, and it scores 37% more than the Intel chip.

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

For our second AVX optimized test, AMD again scores a win. It would appear that the Pentium chips from Intel do not seem to be implementing the performance uplifts we see with the Core models.

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

Photoscan is more of a mixed workload, with multithreaded and singlethreaded steps to get a good sense of a performance. The Intel processor slips a win here, a few percent faster than the AMD.

Our New Testing Suite for 2018 and 2019 CPU Performance: Rendering Tests
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  • mczak - Monday, January 14, 2019 - link

    Yes, I'd expect at least the Athlon to be quite close to its TDP with simultaneous CPU+IGP load.
    The Pentium probably not really (although the Pentium G5500/G5600 could get close, as these have the GT2 (UHD 630) rather than the GT1 (UHD 610) graphics, which also should be much more competitive with the Athlon).
    Reply
  • biiiipy - Monday, January 14, 2019 - link

    In my country the cheapest I can find is 200GE for 50€ andG5400 for 90€... yeah... Reply
  • ET - Monday, January 14, 2019 - link

    Very nice to see a low end comparison, and a quite comprehensive one at that.

    What I don't understand is why quite a few benchmarks (especially on the IGP tests) are missing some of the CPUs.
    Reply
  • Rudde - Monday, January 14, 2019 - link

    The test setup table doesn't include the G5400. Reply
  • shabby - Monday, January 14, 2019 - link

    The g5400 is $183 on amazon... Reply
  • T1beriu - Monday, January 14, 2019 - link

    You should have measured the power consumption for 100% CPU load + 100% GPU load, lile POV + Furmark? Reply
  • Flunk - Monday, January 14, 2019 - link

    These are close enough that I would buy whichever I could get cheaper (with a compatible board of course). Reply
  • Targon - Monday, January 14, 2019 - link

    Of course, if you are looking to start low but then upgrade later, socket AM4 will allow upgrades from the lowest end to top end. Reply
  • edzieba - Tuesday, January 15, 2019 - link

    So could the Pentium, right to the 9900k. Reply
  • eastcoast_pete - Monday, January 14, 2019 - link

    @Ian: thanks, and I agree with your conclusion, but only if the ~$60 mark is a hard upper limit. Take-home for me: if you believe that you're going to be working and gaming on the iGPU of the chip even for a few months, try as hard as you can to get the extra $40 and buy the Ryzen 2200 G instead, which retails for $99 or so. That is still the value king here, and by a big margin. Unlike either the Pentium or the Athlon, the 4 cores and the (much beefier) iGPU of the 2200G can provide the 25-30 frames/second in many of the games tested here, has generally superior performance on non-gaming applications as well, and, once the dedicated graphics card arrives, it still gives a better showing than either Athlon or Pentium. Plus, as Gavin here and others on their sites have shown, there is significant headroom left for overclocking if that extra 10% or so is a must-have. So, long in short: For a budget system, and if at all possible, get the Ryzen 2200G. It is well worth the 40 bucks more. Reply

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