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

Even overclocked, the 2600K doesn't quite reach the 7700K performance, while the 9700K with the higher single thread frequency takes a healthy lead.

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 another single threaded test, so we're seeing the same performance differences: the 2600K overclocked can't quite match the 7700K at stock, while the 9700K goes out into the lead.

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

3D Particle Movement v2.1 (with AVX)

As the 2600K does not have AVX2, it ends up severely lacking behind the 7700K/9700K when the program is optimized for the new instructions.

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 gained substantial performance around the Haswell/Broadwell era, hence the incredible performance gain from 2600K to 7700K. Unfortunaetly for some reason the overclocked CPU failed this 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)

For memory related tests, we ran the systems at their Intel designated supported frequencies, except for the OC system, which got a healthy boost from DDR3-1333 to DDR3-2400. The results show the bump in performance, but even a 7700K at stock wins out. Jumping up to the 9700K gets added core performance.

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 another benchmark that implements as many AVX acceleration functions as possible, showcasing how newer chips than Sandy Bridge have additional benefits.

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

As a variable threaded test, the overclock on the 2600K gives a sizeable performance jump over the stock performance, however the 7700K at stock gets almost the same size jump again. Having more cores in the 9700K just laughs at the rest of the chips in this comparison.

Our New Testing Suite for 2019 and 2020 CPU Performance: Rendering Tests
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  • kgardas - Friday, May 10, 2019 - link

    Indeed, it's sad that it took ~8 years to have double performance kind of while in '90 we get that every 2-3 years. And look at the office tests, we're not there yet and we will probably never ever be as single-thread perf. increases are basically dead. Chromium compile suggests that it makes a sense to update at all -- for developers, but for office users it's nonsense if you consider just the CPU itself.
  • chekk - Friday, May 10, 2019 - link

    Thanks for the article, Ian. I like your summation: impressive and depressing.
    I'll be waiting to see what Zen 2 offers before upgrading my 2500K.
  • AshlayW - Friday, May 10, 2019 - link

    Such great innovation and progress and cost-effectiveness advances from Intel between 2011 and 2017. /s

    Yes AMD didn't do much here either, but it wasn't for lack of trying. Intel deliberately stagnated the market to bleed consumers from every single cent, and then Ryzen turns up and you get the 6 and now 8 core mainstream CPUs.

    Would have liked to see 2600K versus Ryzen honestly. Ryzen 1st gen is around Ivy/Haswell performance per core in most games and second gen is haswell/broadwell. But as many games get more threaded, Ryzen's advantage will ever increase.

    I owned a 2600K and it was the last product from Intel that I ever owned that I truly felt was worth its price. Even now I just can't justify spending £350-400 quid on a hexa core or octa with HT disabled when the competition has unlocked 16 threads for less money.
  • 29a - Friday, May 10, 2019 - link

    "Yes AMD didn't do much here either"

    I really don't understand that statement at all.
  • thesavvymage - Friday, May 10, 2019 - link

    Theyre saying AMD didnt do much to push the price/performance envelope between 2011 and 2017. Which they didnt, since their architecture until Zen was terrible.
  • eva02langley - Friday, May 10, 2019 - link

    Yeah, you are right... it is AMD fault and not Intel who wanted to make a dime on your back selling you quadcore for life.
  • wilsonkf - Friday, May 10, 2019 - link

    Would be more interesting to add 8150/8350 to the benchmark. I run my 8350 at 4.7Ghz for five years. It's a great room heater.
  • MDD1963 - Saturday, May 11, 2019 - link

    I don't think AMD would have sold as many of the 8350s and 9590s as they did had people known that i3's and i5's outperformed them in pretty much all games, and, at lower clock speeds, no less. Many people probably bought the FX8350 because it 'sounded faster' at 4.7 GHz than did the 2600K at 'only' 3.8 GHz' , or so I speculate, anyway... (sort of like the Florida Broward county votes in 2000!)
  • Targon - Tuesday, May 14, 2019 - link

    Not everyone looks at games as the primary use of a computer. The AMD FX chips were not great when it came to IPC, in the same way that the Pentium 4 was terrible from an IPC basis. Still, the 8350 was a lot faster than the Phenom 2 processors, that's for sure.
  • artk2219 - Wednesday, May 15, 2019 - link

    I got my FX 8320 because I preferred threads over single core performance. I was much more likely to notice a lack of computing resources and multi tasking ability vs how long something took to open or run. The funny part is that even though people shit all over them, they were, and honestly still are valid chips for certain use cases. They'll still game, they can be small cheap vhosts, nas servers, you name it. The biggest problem recently is finding a decent AM3+ board to put them in.

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