Working on benchmarking ML frameworks

Nice machine we have here …

root@hermes:/data/tests# lspci | egrep -i '(AMD|NVidia)' | grep VGA
3b:00.0 VGA compatible controller: <a href="http://www.pny.com/nvidia-quadro-gp100">NVIDIA Corporation GP100GL</a> (rev a1)
88:00.0 VGA compatible controller: Advanced Micro Devices, Inc. [AMD/ATI] <a href="http://www.tomshardware.com/reviews/amd-radeon-vega-frontier-edition-16gb,5128.html">Vega 10 XTX</a> [Radeon Vega Frontier Edition]

I want to see how tensorflow and many others run on each of the cards. The processor is no slouch either:

root@hermes:/data/tests# lscpu | grep "Model name"
Model name:            Intel(R) Xeon(R) Gold 6134 CPU @ 3.20GHz

Missing a few things for this, as Amazon is a bit late on shipping some of the needed parts, but hopefully soon, I’ll be able to get everything in there. Looking at the integrated Tensorflow benchmarks, which require image-net, as well as others. Feel free to point more out to me … happy to run some nice baseline/direct comparisons. I’d prefer open (sharable/distributable) benchmarks (alas image net isn’t precisely this, I put in my request for download). Everything else is fair game though. Planning on publishing what I find.