Stanford DAWN Deep Learning Benchmark (DAWNBench) ·
DAWNBench is a benchmark suite for end-to-end deep learning training and inference. Computation time and cost are critical resources in building deep models, yet many existing benchmarks focus solely on model accuracy. DAWNBench provides a reference set of common deep learning workloads for quantifying training time, training cost, inference latency, and inference cost across different optimizatio
Benchmark TensorFlow · Issue #66 · soumith/convnet-benchmarks
Google's TensorFlow benchmarks are here! I've run the benchmarks on the Imagenet Winners. When I saw issues with the numbers, memory etc., I emailed @Yangqing to confirm what I'm seeing, and that it is expected. With that disclaimer out of the way, here's some things that you should know about TensorFlow (as of the pip version that I installed today): in-place ReLU seems non-existent in practice.
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GitHub - soumith/convnet-benchmarks: Easy benchmarking of all publicly accessible implementations of convnets
