Compute

Shifting gears, let’s take a look at compute performance on GTX 1060.

As we already had the chance to categorize the Pascal architecture’s compute performance in our GTX 1080 review, there shouldn’t be any surprises here. But it will be interesting to see whether the GTX 1060’s higher ratio of memory bandwidth per FLOP materially impacts overall compute performance.

Starting us off for our look at compute is LuxMark3.1, the latest version of the official benchmark of LuxRender. LuxRender’s GPU-accelerated rendering mode is an OpenCL based ray tracer that forms a part of the larger LuxRender suite. Ray tracing has become a stronghold for GPUs in recent years as ray tracing maps well to GPU pipelines, allowing artists to render scenes much more quickly than with CPUs alone.

Compute: LuxMark 3.1 - Hotel

While GTX 1060 could hang with GTX 980 in gaming benchmarks, we don’t start off the same way with compute benchmarks, with the last-generation flagship holding about 17% ahead. Unfortunately for NVIDIA, this is about where GTX 1060 needed to be to best RX 480; instead it ends up trailing the AMD competition. Otherwise the performance gain versus the GTX 960 stands at 65%.

For our second set of compute benchmarks we have CompuBench 1.5, the successor to CLBenchmark. CompuBench offers a wide array of different practical compute workloads, and we’ve decided to focus on face detection, optical flow modeling, and particle simulations.

Compute: CompuBench 1.5 - Face Detection

Compute: CompuBench 1.5 - Optical Flow

Compute: CompuBench 1.5 - Particle Simulation 64K

Like with GTX 1080, relative performance is all over the place. GTX 1060 wins with face detection, loses at optical flow, and wins again at particle simulation. Even the gains versus GTX 960 are a bit more uneven, though at the end of the day GTX 1060 ends up being significantly faster than its predecessor with all 3 sub-benchmarks.

Moving on, our 3rd compute benchmark is the next generation release of FAHBench, the official Folding @ Home benchmark. Folding @ Home is the popular Stanford-backed research and distributed computing initiative that has work distributed to millions of volunteer computers over the internet, each of which is responsible for a tiny slice of a protein folding simulation. FAHBench can test both single precision and double precision floating point performance, with single precision being the most useful metric for most consumer cards due to their low double precision performance. Each precision has two modes, explicit and implicit, the difference being whether water atoms are included in the simulation, which adds quite a bit of work and overhead. This is another OpenCL test, utilizing the OpenCL path for FAHCore 21.

Compute: Folding @ Home Single Precision

Compute: Folding @ Home Double Precision

Finally, in Folding@Home, we see the usual split between single precision and double precision performance. GTX 1060 is solidly in the lead when using FP32, but NVIDIA’s poor FP64 rate means that if double precision is needed, RX 480 will pull ahead.

Hitman Synthetics
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  • Raniz - Saturday, August 6, 2016 - link

    Good review, though I must say that calling it a review of a $249 MSRP card when neither of the cards actually reviewed has an MSRP of $249 is a bit weird.

    I think you should have at least one card that is actually priced at $249 in the review, even if the FE is supposed to be exactly the same as those cards.
  • Nephelai - Saturday, August 6, 2016 - link

    Never been a tin foil hat guy but I'm starting to believe nvidia is holding first borns on threat of including a GTX 980 TI or two in SLI in any review.
  • MarkieGcolor - Saturday, August 6, 2016 - link

    Yes! The GPU market is wacked
  • Sushisamurai - Saturday, August 6, 2016 - link

    I feel sorry for you Ryan. So much work out put in and yet there's still so many people that blast you and Anandtech as if you owe the vendors and readers "timely" reviews. Don't let it get to you guys - they'll still come and read just like I do, as your site offers something many don't.

    Anyways, back on topic, I feel the MRSP is a little BS In Canada, Newegg sells the products at ~$280 USD (1 SKU), with the Asus Strix @~$330 (other SKU's listed >$330). For $100 over the 480 in CAD (only reference boards available ATM) that 1060's perf/$ is too intense, almost priced at the next bracket (1070's only $50-$100 off the 1060 price, might as well get the 1070 then). Neat to see the 1060 #'s in action, too bad there's a limit on overvolting and TDP for over clocking.
  • IKeelU - Saturday, August 6, 2016 - link

    This review really needed some Doom vulkan to paint a more accurate picture of how these cards will perform in the future. I understand that Anandtech will expand on this review later on, but many of us are buying cards now (well, trying to at least).
  • Simplex - Sunday, August 7, 2016 - link

    I'd love to see more Vulkan based, but how realistic is it? How many games were announced to use Vulkan?
    How popular was Vulkan's predecessor (OpenGL) in the past?
  • Tech-Curious - Wednesday, August 10, 2016 - link

    Problem is that the nVidia optimizations for Doom Vulkan haven't even been attempted yet. You can find a bunch of reviews that show the 480 blowing the 1060 out of the water in Doom Vulkan, but we really don't know how representative those results are.

    Those results are very encouraging for the 480 though, just in general performance terms.
  • Tech-Curious - Wednesday, August 10, 2016 - link

    Correction, the quote I had in mind references async compute specifically. From Bethesda's Doom Vulkan FAQ:

    "Does DOOM support asynchronous compute when running on the Vulkan API?

    Asynchronous compute is a feature that provides additional performance gains on top of the baseline id Tech 6 Vulkan feature set.

    Currently asynchronous compute is only supported on AMD GPUs and requires DOOM Vulkan supported drivers to run. We are working with NVIDIA to enable asynchronous compute in Vulkan on NVIDIA GPUs. We hope to have an update soon."

    https://community.bethesda.net/thread/54585?tstart...
  • eddman - Saturday, August 6, 2016 - link

    Thanks for the review. I hope to see an HTPC review down the line, with a short 1060 or the upcoming 1050 (/Ti?).
  • jackbutler - Saturday, August 6, 2016 - link

    Could we please see a review of the new HEVC/H265 encoding performance of GTX1060 vs RX480?

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