This is another OpenCL test, utilizing the OpenCL path for FAHCore 17.įolding Home’s single precision tests reiterate just how powerful GTX Titan X can be at FP32 workloads, even if it’s ostensibly a graphics GPU. 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. 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. 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. Moving on, our 4th compute benchmark is FAHBench, the official Folding Home benchmark. But it's still not enough to surpass the R9 290X. Traditionally a benchmark that favors AMD, GTX Titan X closes the gap some. This specific test comes from Sony, and measures how long it takes to render a video. 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). 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.
#Geforce gtx titan x fp64 pro#
Our 3rd compute benchmark is Sony Vegas Pro 13, an OpenGL and OpenCL video editing and authoring package. Face detection in particular shows some massive gains, with GTX Titan X more than doubling the GK110 based GTX 780 Ti's performance. Though the lead varies with the specific sub-benchmark, in every case the latest Titan comes out on top. 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.Īlthough GTX Titan X struggled at LuxMark, the same cannot be said for CompuBench. Even though GTX Titan X packs a lot of performance on paper, and can more than deliver it in graphics workloads, as we can see compute workloads are still highly variable.įor our second set of compute benchmarks we have CompuBench 1.5, the successor to CLBenchmark.
While GTX Titan X sees a better than average 41% performance increase over the GTX 980 (owing to its ability to stay at its max boost clock on this benchmark) it’s not enough to dethrone the Radeon R9 290X.
While in LuxMark 2.0 AMD and NVIDIA were fairly close post-Maxwell, the recently released LuxMark 3.0 finds NVIDIA trailing AMD once more. 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. LuxRender’s GPU-accelerated rendering mode is an OpenCL based ray tracer that forms a part of the larger LuxRender suite. Starting us off for our look at compute is LuxMark3.0, the latest version of the official benchmark of LuxRender 2.0. But for pro-level double precision (FP64) workloads the new Titan lacks the high FP64 performance of the old one.
Make no mistake, at single precision (FP32) compute tasks it is still a very potent card, which for consumer level workloads is generally all that will matter. Shifting gears, we have our look at compute performance.Īs we outlined earlier, GTX Titan X is not the same kind of compute powerhouse that the original GTX Titan was.
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