Our New Testing Suite for 2018 and 2019

Spectre and Meltdown Hardened

In order to keep up to date with our testing, we have to update our software every so often to stay relevant. In our updates we typically implement the latest operating system, the latest patches, the latest software revisions, the newest graphics drivers, as well as add new tests or remove old ones. As regular readers will know, our CPU testing revolves an automated test suite, and depending on how the newest software works, the suite either needs to change, be updated, have tests removed, or be rewritten completely. Last time we did a full re-write, it took the best part of a month, including regression testing (testing older processors).

One of the key elements of our testing update for 2018 (and 2019) is the fact that our scripts and systems are designed to be hardened for Spectre and Meltdown. This means making sure that all of our BIOSes are updated with the latest microcode, and all the steps are in place with our operating system with updates. In this case we are using Windows 10 x64 Enterprise 1709 with April security updates which enforces Smeltdown (our combined name) mitigations. Uses might ask why we are not running Windows 10 x64 RS4, the latest major update – this is due to some new features which are giving uneven results. Rather than spend a few weeks learning to disable them, we’re going ahead with RS3 which has been widely used.

Our previous benchmark suite was split into several segments depending on how the test is usually perceived. Our new test suite follows similar lines, and we run the tests based on:

  • Power
  • Memory
  • Office
  • System
  • Render
  • Encoding
  • Web
  • Legacy
  • Integrated Gaming
  • CPU Gaming

Depending on the focus of the review, the order of these benchmarks might change, or some left out of the main review. All of our data will reside in our benchmark database, Bench, for which there is a new ‘CPU 2019’ section for all of our new tests.

Within each section, we will have the following tests:

Power

Our power tests consist of running a substantial workload for every thread in the system, and then probing the power registers on the chip to find out details such as core power, package power, DRAM power, IO power, and per-core power. This all depends on how much information is given by the manufacturer of the chip: sometimes a lot, sometimes not at all.

We are currently running POV-Ray as our main test for Power, as it seems to hit deep into the system and is very consistent. In order to limit the number of cores for power, we use an affinity mask driven from the command line.

Memory

These tests involve disabling all turbo modes in the system, forcing it to run at base frequency, and them implementing both a memory latency checker (Intel’s Memory Latency Checker works equally well for both platforms) and AIDA64 to probe cache bandwidth.

Office

  • Chromium Compile: Windows VC++ Compile of Chrome 56 (same as 2017)
  • PCMark10: Primary data will be the overview results – subtest results will be in Bench
  • 3DMark Physics: We test every physics sub-test for Bench, and report the major ones (new)
  • GeekBench4: By request (new)
  • SYSmark 2018: Recently released by BAPCo, currently automating it into our suite (new, when feasible)

System

  • Application Load: Time to load GIMP 2.10.4 (new)
  • FCAT: Time to process a 90 second ROTR 1440p recording (same as 2017)
  • 3D Particle Movement: Particle distribution test (same as 2017) – we also have AVX2 and AVX512 versions of this, which may be added later
  • Dolphin 5.0: Console emulation test (same as 2017)
  • DigiCortex: Sea Slug Brain simulation (same as 2017)
  • y-Cruncher v0.7.6: Pi calculation with optimized instruction sets for new CPUs (new)
  • Agisoft Photoscan 1.3.3: 2D image to 3D modelling tool (updated)

Render

  • Corona 1.3: Performance renderer for 3dsMax, Cinema4D (same as 2017)
  • Blender 2.79b: Render of bmw27 on CPU (updated to 2.79b)
  • LuxMark v3.1 C++ and OpenCL: Test of different rendering code paths (same as 2017)
  • POV-Ray 3.7.1: Built-in benchmark (updated)
  • CineBench R15: Older Cinema4D test, will likely remain in Bench (same as 2017)

Encoding

  • 7-zip 1805: Built-in benchmark (updated to v1805)
  • WinRAR 5.60b3: Compression test of directory with video and web files (updated to 5.60b3)
  • AES Encryption: In-memory AES performance. Slightly older test. (same as 2017)
  • Handbrake 1.1.0: Logitech C920 1080p60 input file, transcoded into three formats for streaming/storage:
    • 720p60, x264, 6000 kbps CBR, Fast, High Profile
    • 1080p60, x264, 3500 kbps CBR, Faster, Main Profile
    • 1080p60, HEVC, 3500 kbps VBR, Fast, 2-Pass Main Profile

Web

  • WebXPRT3: The latest WebXPRT test (updated)
  • WebXPRT15: Similar to 3, but slightly older. (same as 2017)
  • Speedometer2: Javascript Framework test (new)
  • Google Octane 2.0: Depreciated but popular web test (same as 2017)
  • Mozilla Kraken 1.1: Depreciated but popular web test (same as 2017)

Legacy (same as 2017)

  • 3DPM v1: Older version of 3DPM, very naïve code
  • x264 HD 3.0: Older transcode benchmark
  • Cinebench R11.5 and R10: Representative of different coding methodologies

Linux (when feasible)

When in full swing, we wish to return to running LinuxBench 1.0. This was in our 2016 test, but was ditched in 2017 as it added an extra complication layer to our automation. By popular request, we are going to run it again.

Integrated and CPU Gaming

We have recently automated around a dozen games at four different performance levels. A good number of games will have frame time data, however due to automation complications, some will not. The idea is that we get a good overview of a number of different genres and engines for testing. So far we have the following games automated:

AnandTech CPU Gaming 2019 Game List
Game Genre Release Date API IGP Low Med High
World of Tanks enCore Driving / Action Feb
2018
DX11 768p
Minimum
1080p
Medium
1080p
Ultra
4K
Ultra
Final Fantasy XV JRPG Mar
2018
DX11 720p
Standard
1080p
Standard
4K
Standard
8K
Standard
Shadow of War Action / RPG Sep
2017
DX11 720p
Ultra
1080p
Ultra
4K
High
8K
High
F1 2018 Racing Aug
2018
DX11 720p
Low
1080p
Med
4K
High
4K
Ultra
Civilization VI RTS Oct
2016
DX12 1080p
Ultra
4K
Ultra
8K
Ultra
16K
Low
Car Mechanic Simulator '18 Simulation / Racing July
2017
DX11 720p
Low
1080p
Medium
1440p
High
4K
Ultra
Ashes: Classic RTS Mar
2016
DX12 720p
Standard
1080p
Standard
1440p
Standard
4K
Standard
Strange Brigade* FPS Aug
2018
DX12
Vulkan
720p
Low
1080p
Medium
1440p
High
4K
Ultra
Shadow of the Tomb Raider Action Sep
2018
DX12 720p
Low
1080p
Medium
1440p
High
4K
Highest
Grand Theft Auto V Open World Apr
2015
DX11 720p
Low
1080p
High
1440p
Very High
4K
Ultra
Far Cry 5 FPS Mar
2018
DX11 720p
Low
1080p
Normal
1440p
High
4K
Ultra
*Strange Brigade is run in DX12 and Vulkan modes

For our CPU Gaming tests, we will be running on an NVIDIA GTX 1080. For the CPU benchmarks, we use an RX460 as we now have several units for concurrent testing.

In previous years we tested multiple GPUs on a small number of games – this time around, due to a Twitter poll I did which turned out exactly 50:50, we are doing it the other way around: more games, fewer GPUs.

Scale Up vs Scale Out: Benefits of Automation

One comment we get every now and again is that automation isn’t the best way of testing – there’s a higher barrier to entry, and it limits the tests that can be done. From our perspective, despite taking a little while to program properly (and get it right), automation means we can do several things:

  1. Guarantee consistent breaks between tests for cooldown to occur, rather than variable cooldown times based on ‘if I’m looking at the screen’
  2. It allows us to simultaneously test several systems at once. I currently run five systems in my office (limited by the number of 4K monitors, and space) which means we can process more hardware at the same time
  3. We can leave tests to run overnight, very useful for a deadline
  4. With a good enough script, tests can be added very easily

Our benchmark suite collates all the results and spits out data as the tests are running to a central storage platform, which I can probe mid-run to update data as it comes through. This also acts as a mental check in case any of the data might be abnormal.

We do have one major limitation, and that rests on the side of our gaming tests. We are running multiple tests through one Steam account, some of which (like GTA) are online only. As Steam only lets one system play on an account at once, our gaming script probes Steam’s own APIs to determine if we are ‘online’ or not, and to run offline tests until the account is free to be logged in on that system. Depending on the number of games we test that absolutely require online mode, it can be a bit of a bottleneck.

Benchmark Suite Updates

As always, we do take requests. It helps us understand the workloads that everyone is running and plan accordingly.

A side note on software packages: we have had requests for tests on software such as ANSYS, or other professional grade software. The downside of testing this software is licensing and scale. Most of these companies do not particularly care about us running tests, and state it’s not part of their goals. Others, like Agisoft, are more than willing to help. If you are involved in these software packages, the best way to see us benchmark them is to reach out. We have special versions of software for some of our tests, and if we can get something that works, and relevant to the audience, then we shouldn’t have too much difficulty adding it to the suite.

Test Bed and Setup CPU Performance: System Tests
Comments Locked

136 Comments

View All Comments

  • SaturnusDK - Wednesday, January 30, 2019 - link

    The price is the only big surprise here. At $3000 for the CPU alone and three times that in system price it's actually pretty decently priced. The performance is as expected but it will soon be eclipsed. The only question is what price AMD will change for it's coming Zen2 based processors in the same performance bracket, we won't know until then if the W3175X is a worthwhile investment.
  • HStewart - Wednesday, January 30, 2019 - link

    I thought the rumors were that this chip was going to be $8000. I am curious what Covey version of this chip will perform and when it comes out.

    But lets be honest, unless you are extremely rich or crazy, buying any processor with large amount of cores is crazy - to me it seems like high end gaming market is being taking for ride with all this core war - buy high end core now just to say you have highest performance and then next year purchase a new one. Of course there is all the ridicules process stuff. It just interesting to find a 28 core beats a AMD 32 core with Skylake and 14nm on Intel.

    As for Server side, I would think it more cost effective to blade multiple lower core units than less higher core units.
  • jakmak - Wednesday, January 30, 2019 - link

    Its not really surprising to see an 28 Intel beating an 32Core AMD. After all, it is not a hidden mystery that the Intel chips not only have a small IPC advantage, but also are able to run with a higher clockrate (nevertheless the power wattage). In this case, the Xeon-W excells where these 2 advantages combined are working 28x, so the 2 more cores on AMD side wont cut it.
    It is also obvious that the massive advantage works mostly in those cases where clock rate is the most important part.
  • MattZN - Wednesday, January 30, 2019 - link

    Well, it depends on whether you care about power consumption or not, jakmak. Traditionally the consumer space hasn't cared so much, but its a bit of a different story when whole-system power consumption starts reaching for the sky. And its definitely reaching for sky with this part.

    The stock intel part burns 312W on the Blender benchmark while the stock threadripper 2990WX burns 190W. The OC'd Intel part burns 672W (that's right, 672W without a GPU) while the OCd 2990WX burns 432W.

    Now I don't know about you guys, but that kind of power dissipation in such a small area is not something I'm willing to put inside my house unless I'm physically there watching over it the whole time. Hell, I don't even trust my TR system's 330W consumption (at the wall) for continuous operation when some of the batches take several days to run. I run it capped at 250W.

    And... I pay for the electricity I use. Its not cheap to run machines far away from their maximally efficient point on the curve. Commercial machines have lower clocks for good reason.

    -Matt
  • joelypolly - Wednesday, January 30, 2019 - link

    Do you not have a hair dryer or vacuum or oil heater? They can all push up to 1800W or more
  • evolucion8 - Wednesday, January 30, 2019 - link

    That is a terrible example if you ask me.
  • ddelrio - Wednesday, January 30, 2019 - link

    lol How long do you keep your hair dryer going for?
  • philehidiot - Thursday, January 31, 2019 - link

    Anything up to one hour. I need to look pretty for my processor.
  • MattZN - Wednesday, January 30, 2019 - link

    Heh. That's is a pretty bad example. People don't leave their hair dryers turned on 24x7, nor floor heaters (I suppose, unless its winter). Big, big difference.

    Regardless, a home user is not likely to see a large bill unless they are doing something really stupid like crypto-mining. There is a fairly large distinction between the typical home-use of a computer vs a beefy server like the one being reviewed here, let alone a big difference between a home user, a small business environment (such as popular youtube tech channels), and a commercial setting.

    If we just use an average electricity cost of around $0.20/kWh (actual cost depends on where you live and the time of day and can range from $0.08/kWh to $0.40/kWh or so)... but lets just $0.20/kWh.

    For a gamer who is spending 4 hours a day burning 300W the cost of operation winds up being around $7/month. Not too bad. Your average gamer isn't going to break the bank, so to speak. Mom and Dad probably won't even notice the additional cost. If you live in cold environment, your floor heater will indeed cost more money to operate.

    If you are a solo content creator you might be spending 8 to 12 hours a day in front of the computer. For the sake of argument, running blender or encoding jobs in the background. 12 hours of computer use a day @ 300W costs around $22/month.

    If you are GN or Linus or some other popular YouTube site and you are running half a dozen servers 24x7 plus workstations for employees plus running numerous batch encoding jobs on top of that, the cost will begin to become very noticable. Now you are burning, say, 2000W 24x7 (pie in the sky rough average), costing around $290/month ($3480/year). That content needs to be making you money.

    A small business or commercial setting can wind up spending a lot of money on energy if no care at all is taken with regards to power consumption. There are numerous knock-on costs, such as A/C in the summer which has to take away all the equipment heat on top of everything else. If A/C is needed (in addition to human A/C needs), the cost is doubled. If you are renting colocation space then energy is the #1 cost and network bandwidth is the #2 cost. If you are using the cloud then everything has bloated costs (cpu, network, storage, and power).

    In anycase, this runs the gamut. You start to notice these things when you are the one paying the bills. So, yes, Intel is kinda playing with fire here trying to promote this monster. Gaming rigs that aren't used 24x7 can get away with high burns but once you are no longer a kid in a room playing a game these costs can start to matter. As machine requirements grow then running the machines closer to their maximum point of efficiency (which is at far lower frequencies) begins to trump other considerations.

    If that weren't enough, there is also the lifespan of the equipment to consider. A $7000 machine that remains relevant for only one year and has as $3000/year electricity bill is a big cost compared to a $3000 machine that is almost as fast and only has $1500/year electricity bill. Or a $2000 machine. Or a $1000 machine. One has to weigh convenience of use against the total cost of ownership.

    When a person is cognizant of the costs then there is much less of an incentive to O.C. the machines, or even run them at stock. One starts to run them like real servers... at lower frequencies to hit the maximum efficiency sweet spot. Once a person begins to think in these terms, buying something like this Xeon is an obvious and egregious waste of money.

    -Matt
  • 808Hilo - Thursday, January 31, 2019 - link

    Most servers run at idle speed. That is a sad fact. The sadder fact is that they have no discernible effect on business processes because they are in fact projected and run by people in a corp that have a negative cost to benefit ratio. Most important apps still run on legacy mainframe or mini computers. You know the one that keep the electricity flowing, planes up, ticketing, aisles restocked, powerplants from exploding, ICBM tracking. Only social constructivists need an overclocked server. Porn, youtubers, traders, datacollectors comes to mind. Not making much sense.

Log in

Don't have an account? Sign up now