Compute

Shifting gears, we have our look at compute performance. Since GTX Titan X has no compute feature advantage - no fast double precision support like what's found in the Kepler generation Titans - the performance difference between the GTX Titan X and GTX 980 Ti should be very straightforward.

Starting us off for our look at compute is LuxMark3.0, the latest version of the official benchmark of LuxRender 2.0. 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 3.0 - Hotel

With the pace set for GM200 by GTX Titan X, there’s little to say here that hasn’t already been said. Maxwell does not fare well in LuxMark, and while GTX 980 Ti continues to stick very close to GTX Titan X, it none the less ends up right behind the Radeon HD 7970 in this benchmark.

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

Although GTX T980 Ti struggled at LuxMark, the same cannot be said for CompuBench. Though taking the second spot in all 3 sub-tests - right behind GTX Titan X - there's a bit wider of a gap than normal between the two GM200 cards, causing GTX 980 Ti to trail a little more significantly than in other tests. Given the short nature of these tests, GTX 980 Ti doesn't get to enjoy its usual clockspeed advantage, making this one of the only benchmarks where the theoretical 9% performance difference between the cards becomes a reality.

Our 3rd compute benchmark is Sony Vegas Pro 13, an OpenGL and OpenCL video editing and authoring package. Vegas can use GPUs in a few different ways, the primary uses being to accelerate the video effects and compositing process itself, and in the video encoding step. With video encoding being increasingly offloaded to dedicated DSPs these days we’re focusing on the editing and compositing process, rendering to a low CPU overhead format (XDCAM EX). This specific test comes from Sony, and measures how long it takes to render a video.

Compute: Sony Vegas Pro 13 Video Render

Traditionally a benchmark that favors AMD, GTX 980 Ti fares as well as GTX Titan X, closing the gap some. But it's still not enough to surpass Radeon HD 7970, let alone Radeon R9 290X.

Moving on, our 4th compute benchmark is 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 17.

Compute: Folding @ Home: Explicit, Single Precision

Compute: Folding @ Home: Implicit, Single Precision

Folding @ Home’s single precision tests reiterate GM200's FP32 compute credentials. Second only to GTX Titan X, GTX 980 Ti fares very well here.

Compute: Folding @ Home: Explicit, Double Precision

Meanwhile Folding @ Home’s double precision test reiterates GM200's poor FP64 compute performance. At 6.3ns/day, it, like the GTX Titan X, occupies the lower portion of our benchmark charts, below AMD's cards and NVIDIA's high-performnace FP64 cards.

Wrapping things up, our final compute benchmark is an in-house project developed by our very own Dr. Ian Cutress. SystemCompute is our first C++ AMP benchmark, utilizing Microsoft’s simple C++ extensions to allow the easy use of GPU computing in C++ programs. SystemCompute in turn is a collection of benchmarks for several different fundamental compute algorithms, with the final score represented in points. DirectCompute is the compute backend for C++ AMP on Windows, so this forms our other DirectCompute test.

Compute: SystemCompute v0.5.7.2 C++ AMP Benchmark

We end up ending our benchmarks where we started: with the GTX 980 Ti slightly trailing the GTX Titan X, and with the two GM200 cards taking the top two spots overall. So as with GTX Titan X, GTX 980 Ti is a force to be reckoned with for FP32 compute, which for a pure consumer card should be a good match for consumer compute workloads.

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  • IUU - Saturday, June 6, 2015 - link

    Wow ,Crysis 3 and Battlefield 4 hitting 80 fps at very high 2560x1440.
    Clearly there's much room for better graphics at lower resolutions.
    I would buy this card , but not if I knew the only benefit would be to
    run games at higher resolutions, that is, graphics has some way to go still
    and this card could accommodate such a prospect.
  • FlushedBubblyJock - Wednesday, June 10, 2015 - link

    the R9 295X2 has completely lost it's luster and value, forget it
  • looper - Sunday, June 14, 2015 - link

    This 980 Ti.... Is it the same physical size as my current 780?
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  • NvidiaWins - Thursday, June 18, 2015 - link

    I'll wait to see what this 980GTX "METAL" is all about before I order a new gpu. With 770 Sli I'm in no real rush, as the 980Ti just barley surpassed my Firestrike Score(less than 100 graphic points)
  • johnpombrio - Thursday, June 25, 2015 - link

    I am just going through the AMD Fury X's reviews as it came out today with a ton of reviews (June 24th, 2015). It is excellent card and would have absolutely dominated the price point if this pesky GTX 980Ti just had not come along a month before AMD's much hyped launch. It cannot be such a coincidence that NVidia's card just happened to be so close in its benchmarks to the AMD's card. It is also such a coincidence that AMD set the price of their card at exactly the same price as NVidia. So my theory is that NVidia managed to get their hands on a reference Fury X and dialed in their 980Ti to match it. In the meantime, AMD was planning on charging a LOT more for their extremely well designed card (with its own built in water cooler and HBM) expecting the Ti to be launched much later this year but was forced to chop the price. If the price was cut, I don't expect the AIB manufacturers for the Fury X to be very pleased to have a lot less profit margin on the card. Three things may hold back the Fury X as well. One is that the Ti overclocks much better. Next is that the water cooler may or may not be welcomed by all considering its size and possible installation issues. Finally, AMD has been getting complaints by many folks over drivers (or lack thereof). Otherwise, a successful launch for both companies.
  • deteugma - Thursday, July 16, 2015 - link

    It is extremely frustrating that none of the charts include the 970.
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