NVIDIA GeForce RTX 2080 Ti Shows Very Strong Compute Performance Potential

Written by Michael Larabel in Graphics Cards on 21 September 2018 at 11:55 AM EDT. Page 2 of 8. 20 Comments.

First up are a few of the CUDA benchmarks on the tested NVIDIA cards. (ROCm's HIP wasn't attempted for this comparison for CUDA codes running on Radeon GPUs due to various obstacles encountered in trying to deliver this timely GPU compute comparison.)

GeForce RTX 2080 Ti Linux GPU Compute Perf + Dollars
GeForce RTX 2080 Ti Linux GPU Compute Perf + Dollars

In the degridding test with ASKAP, the RTX 2080 Ti is 64% faster than the GTX 1080 Ti (or 40% for gridding). This is a larger generational improvement going from Pascal to Turing than from Maxwell to Pascal.

GeForce RTX 2080 Ti Linux GPU Compute Perf + Dollars

With a basic CUDA mini nbody test even, the GeForce RTX 2080 Ti wound up running about twice as fast as the GTX 1080 Ti!

GeForce RTX 2080 Ti Linux GPU Compute Perf + Dollars

The SHOC OpenCL benchmark achieved 16.5 TFLOPS of single-precision compute power in this particular test, a 25% improvement over the GTX 1080 Ti. In this test and a few other OpenCL tests, the ROCm 1.9 stack had problems running on the RX Vega 64 graphics card.

GeForce RTX 2080 Ti Linux GPU Compute Perf + Dollars

During the SP FLOPS test, the GeForce RTX 2080 Ti was pulling about 20 Watts on average more than the GTX 1080 Ti.

GeForce RTX 2080 Ti Linux GPU Compute Perf + Dollars

But on a performance-per-Watt basis, the RTX 2080 Ti still came out ahead by 14%.


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