CPU Performance: Intel's Own Claims

Before we get into the new AI benchmarks, let’s take a quick look at the usual CPU benchmarks and performance claims made available by Intel. 

For this comparison we’ll focus on the second row – the first row is comparing the insanely priced 400W dual-die Intel Platinum 9282 to a much more reasonable and available to everyone Intel Platinum 8180. The second row tells it all: a few MHz and slightly higher RAM speeds result in a 3% (Integer) to 5% (FP) performance increase compared to the first-generation Xeon Scalable parts. The higher boost in floating point performance is probably the result of the fact that Intel's second generation parts can use faster DDR4-2933 DIMMs and hence offer more bandwidth to the cores. 

The midrange SKUs get a bigger boost as some of x2xx Xeon Scalable parts get more cores and more L3 cache than the previous x1xx parts. For example, the 6252 has 24 cores and 35.75 MB L3, while the 6152 had 22 cores and 30.25 MB L3. 

 

The comparison with AMD's EPYC 7601 however deserves our attention, as there’s some interesting data here. Again, the comparison of a 400W, $50k chiplet CPU with a 180W $4k one does not make any sense whatsoever, so we ignore the first line. 

The Linpack numbers are not surprising: the more expensive Skylake SKUs add a 512-bit FMAC to the already existing dual 256-bit FMACs, offering up to 4 times more AVX throughput than AMD's EPYC. AMD's next generation will be a lot more competitive in this area as the each FP unit is now capable of doing 256-bit AVX instead of 128-bit. 

The image classification results clearly show that Intel is trying to convince people that some AI applications should simply run on a CPU, no GPU needed. Well, at least for now… 

The fact that Intel claims that database performance is a lot better than on the EPYC is quite interesting, as we’ve previously pointed out that AMD's four NUMA dies on a chip does have drawbacks. Quoting our Xeon Skylake vs EPYC review

Out of the box, the EPYC CPU is a rather mediocre transactional database CPU ... transactional databases will remain Intel territory for now.

In databases, cache (coherency) latency plays an important role. It will be interesting to see how well AMD has addressed this weakness in the second generation EPYC server chips. 

Testing Notes & Benchmark Configuration SAP S&D 2-tier
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  • tipoo - Monday, July 29, 2019 - link

    Fyi, when on page 2 and clicking "convolutional, etc" for page 3, it brings me back to the homepage
  • Ryan Smith - Monday, July 29, 2019 - link

    Fixed. Sorry about that.
  • Eris_Floralia - Monday, July 29, 2019 - link

    Johan's new piece in 14 months! Looking forward to your Rome review :)
  • JohanAnandtech - Monday, July 29, 2019 - link

    Just when you think nobody noticed you were gone. Great to come home again. :-)
  • Eris_Floralia - Tuesday, July 30, 2019 - link

    Your coverage on server processors are great!
    Can still well remember Nehalem, Barcelona, and especially Bulldozer aftermath articles
  • djayjp - Monday, July 29, 2019 - link

    Not having a Tesla for such an article seems like a glaring omission.
  • warreo - Monday, July 29, 2019 - link

    Doubt Nvidia is sourcing AT these cards, so it's likely an issue of cost and availability. Titan is much cheaper than a Tesla, and I'm not even sure you can get V100's unless you're an enterprise customer ordering some (presumably large) minimum quantity.
  • olafgarten - Monday, July 29, 2019 - link

    It is available https://www.scan.co.uk/products/32gb-pny-nvidia-te...
  • abufrejoval - Tuesday, July 30, 2019 - link

    Those bottlenecks are over now and P100, V100 can be bought pretty freely, as well as RTX6000/8000 (Turings). Actually the "T100" is still missing and the closest siblings (RTX 6000/8000) might never get certified for rackmount servers, because they have active fans while the P100/V100 are designed to be cooled by server fans. I operate a handful of each and getting budget is typically the bigger hurdle than purchasing.
  • SSNSeawolf - Monday, July 29, 2019 - link

    I've been trying to find more information on Cascade Lake's AI/VNNI performance, but came up dry. Thanks, Johan. Eagerly putting this aside for my lunch reading today.

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