GPU and Gaming Benchmarks

Our next focus is on GPU-centric workloads. The full benchmark numbers are presented below, but the overall performance trends are similar to what we observed in the CPU benchmarks section. Even the gaming benchmarks across all kits had similar results. That said, the OpenCL accelerated Agisoft Photoscan Benchmark does show major performance improvements (around 4.5% in moving from 2133 MHz to 2400 MHz, and, around 15% in moving from 2400 MHz to 3067 MHz) with increasing memory frequency. This shows that real-life workloads that can take advantage of the higher memory frequency SODIMMs do exist, but, they are just not that common.

Futuremark 3DMark 11 and 3DMark 2013

Futuremark 3DMark 11

Futuremark 3DMark 11

Futuremark 3DMark 11

Futuremark 3DMark 2013

Futuremark 3DMark 2013

3D Rendering with OpenGL - CINEBENCH R15

3D Rendering - CINEBENCH R15

Agisoft Photoscan Benchmark with OpenCL Acceleration

Agisoft PhotoScan Benchmark - Stage 2 (OpenCL Accelerated)

Gaming - Sleeping Dogs

Sleeping Dogs

Sleeping Dogs

Sleeping Dogs

Gaming - Bioshock Infinite

Bioshock Infinite

Bioshock Infinite

Bioshock Infinite

Gaming - Tomb Raider

Tomb Raider

Tomb Raider

Tomb Raider

Gaming - DiRT Showdown

DiRT Showdown

DiRT Showdown

DiRT Showdown

Gaming - GRID Autosport

GRID Autosport

Gaming - The Talos Principle

The Talos Principle

The Talos Principle

CPU Performance Benchmarks Miscellaneous Aspects and Concluding Remarks
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  • zodiacfml - Monday, August 29, 2016 - link

    AMD APUs please.
  • tipoo - Monday, August 29, 2016 - link

    Neat test. Interesting that the Iris Pro barely sees any scaling with memory bandwidth, indicating to me that the eDRAM really does cover its bandwidth needs nicely.

    I feel like the SC NUC could have been more with another inch of cooling height though. The GPU drops back to its base clocks quickly, having so many more EUs than the Iris Pro 5200 should have brought more gains than we saw since it's not bandwidth bound.
  • mcmillanit - Monday, August 29, 2016 - link

    I have a SC.
    I attached an nvidia gtx 750ti using the bplus v4.1 egpu adapter.
    When version 2 of the thunderbolt adapters become available, I will probably switch to one of those, but for now, m.2 to pcie adapter is ugly, but works, and works well. It is only using pcie1 x4, but that is sufficient.
    The user experience is vastly improved. The video is smooth, and without the thermal load of the GPU on the processor, the cpu stays much cooler while it maintains higher clock speeds when I game or watch youtube.

    -Michael
  • powerarmour - Monday, August 29, 2016 - link

    How about investigating where all the GPU reviews have gone?
  • Ranger1065 - Tuesday, August 30, 2016 - link

    Anandtech is so BROKEN....
  • Ian Cutress - Tuesday, August 30, 2016 - link

    We've hit every major CPU launch on day one with every CPU available at launch being tested for the last two years - over and above any other website coverage. So wait, broken?
  • JackNSally - Wednesday, August 31, 2016 - link

    CPU=/=GPU
  • zaza - Monday, August 29, 2016 - link

    intersting results. can you redo the test but using normal CPU socket. The eDRAM might have played a role keeping the bandwidth and latency in check, but to be sure we have to test the effect on normal socket. and is it possible to test also with DDR3? since some skylake motherboards do support DDR3 memeory
  • Ian Cutress - Monday, August 29, 2016 - link

    You mean what we posted last august? DDR4 vs DDR3L ?
    http://www.anandtech.com/show/9483/intel-skylake-r...
  • ganeshts - Monday, August 29, 2016 - link

    (1) Skull Canyon uses BGA, so it is not possible to move to a non-eDRAM processor on this testbed.

    (2) As I have explained in the article, the only platform we could source that supports memory OC AND supports SODIMMs was the Skull Canyon NUC. Our focus was on the large number of OC-ed DDR4 SODIMMs that have come to the market in the last few months.

    (3) Practical comparisons of DDR3 vs. DDR4 with real-life workloads is quite difficult because, in a real system, the boards would be completely different in terms of system configuration and there are too many factors involved that it wouldn't be possible to do an apples-to-apples comparison.

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