NVIDIA CUDA 8.0 Benchmarks For Ending 2016 + cuDNN Caffe AlexNet/Googlenet

And the CUDA Mini-Nbody results.

Now for arguably the most interesting tests, Caffe.

The AlexNet results from the GTX 680 to GTX 1080... Over five times faster using this high-end Pascal GPU compared to what was great for Kepler back in the day.

And equally impressive results for Googlenet with these CUDA+cuDNN runs on the different GPUs.

Well, those are our latest NVIDIA CUDA Linux benchmarks as we end out 2016. If you wish to compare your own CUDA-enabled Linux system's performance against the numbers found in this article, simply install the Phoronix Test Suite and run phoronix-test-suite benchmark 1612261-TA-CUDA2016N88.

For those interested in just open standards, recently I also did some Blender / Darktable OpenCL benchmarks as well as some AMD vs. NVIDIA Darktable 2.2 OpenCL tests.