Benchmarks based on neural networks libraries to compare the performance between different GPUs I am looking for benchmarks based on neural networks libraries (Theano/TensorFlow/Torch/Caffe/…) to compare the performance between different GPUs.

I am aware of:


https://github.com/jcjohnson/cnn-benchmarks (CNN in Torch)
https://github.com/jcjohnson/neural-style#speed (CNN in Torch)
https://github.com/glample/rnn-benchmarks (vanilla RNNs and LSTM in Theano, TensorFlow, and Torch)


What are some other benchmark codes?
Here is my list with collection of benchmarks: https://github.com/mrgloom/Deep-Benchmark-List

https://github.com/dividiti/ck-caffe looks more promissing, but complicated.