This time Mathieu is the one on vacation 
We did very informal/quick comparative benchmarks (*), not worth publishing – it’s always very problem dependent anyway. I’m curious to hear what you get.
Are you going to benchmark training time or inference time ?
If you care a lot about inference latency/speed, consider using directly Yggdrasil (the C++ API, it’s pretty simple and it can read models trained in TF), since TF, for its flexibility, adds some significant overhead.
Btw, to make it easy (or just as an example), see our benchmark_inference 2 command line tool.
(*) Our impression is that training time is good (not awesome), and inference time is well optimized (at least with some of the inference engines).