NVIDIA GeForce RTX 2070 OpenCL, CUDA, TensorFlow GPU Compute Benchmarks

Written by Michael Larabel in Graphics Cards on 18 October 2018 at 05:11 PM EDT. Page 5 of 10. 10 Comments.

What many of you are most interested in... TensorFlow benchmarks with the GeForce RTX 2070. TensorFlow was running within Docker using the NVIDIA GPU Cloud images.

NVIDIA GeForce RTX 2070 Linux Compute Benchmarks

With the ResNet-50 model using FP16 precision, the RTX 2070 was 11% faster than a GeForce GTX 1080 Ti and 86% faster than the previous-generation GeForce GTX 1070.

NVIDIA GeForce RTX 2070 Linux Compute Benchmarks
NVIDIA GeForce RTX 2070 Linux Compute Benchmarks

On a performance-per-Watt basis, the GeForce RTX 2070 is well ahead of the previous-generation Pascal and Maxwell parts.

NVIDIA GeForce RTX 2070 Linux Compute Benchmarks

When running ResNet-50 with FP32, the RTX 2070 performance falls behind the GTX 1080 Ti... Likely due to the tensor cores not coming into play. But still even with FP32, the RTX 2070 is well ahead of the GTX 1080.

NVIDIA GeForce RTX 2070 Linux Compute Benchmarks
NVIDIA GeForce RTX 2070 Linux Compute Benchmarks

The performance-per-Watt at FP32 with the ResNet-50 model was on-par with the GTX 1080 Ti and a 34% improvement over the GTX 1070.

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