NVIDIA GeForce GTX 1660 Ti OpenCL Benchmarks, 14-Way NVIDIA/AMD GPU Compute Tests
Written by Michael Larabel in Graphics Cards on 1 March 2019. Page 3 of 3. 13 Comments

The GTX 1660 Ti was up there with the other tested Turing GPUs in offer much stronger integer performance for OpenCL.

One of the areas where the ROCm software stack still is struggling is with higher kernel latency than the NVIDIA OpenCL Linux driver.

NAMD CUDA benchmarks for those interested, the GTX 1660 Ti came in between the GTX 1070 and GTX 1070 Ti.

The GTX 1660 Ti was also aligned with the GTX 1070 series for the [email protected] FAHBench.

Of this quick OpenCL benchmarking roundabout is the GPU thermal data over the course of all the GPU benchmarks carried out. This particular triple-slot EVGA GTX 1660 Ti runs very cool (and quiet) given its size. The average load temperature was under 50 degrees with this card. Additional data on OpenBenchmarking.org.

Lastly is a look at the geometric mean across all of the OpenCL compute benchmarks carried out on the Radeon and NVIDIA GPUs with their newest Linux drivers. The GTX 1660 Ti overall was around the level of the GTX 1080 (in particular it performed well in the memory tests with GDDR6 while for pure compute workloads was closer to the GTX 1070 series) and about 17% faster than the Radeon RX 590. Of the particular cards tested, the EVGA GTX 1660 Ti was $29 USD or 11% more expensive than the Sapphire Radeon RX 590, so it does offer better value, plus being able to run CUDA workloads, assuming you are fine with NVIDIA's proprietary software driver stack.

If you missed it from earlier this week, see the rest of our GTX 1660 Ti Linux benchmarks.

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Michael Larabel is the principal author of Phoronix.com and founded the site in 2004 with a focus on enriching the Linux hardware experience. Michael has written more than 20,000 articles covering the state of Linux hardware support, Linux performance, graphics drivers, and other topics. Michael is also the lead developer of the Phoronix Test Suite, Phoromatic, and OpenBenchmarking.org automated benchmarking software. He can be followed via Twitter or contacted via MichaelLarabel.com.

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