As a late update, I ran a serie of tests with PyTorch + FastaiV1 on Cifar 10/100, comparing a 1080Ti and an RTX 2060 with and without mixed-precision.
It’s not a parfect test (I ran out of time to experiment with max_batch_size with the 1080Ti, as the tests included took over 75-90 hours on my personal PC) but there might be some interesting points.
Also in the article, I put a link to my GitHub repo where you can download each script in Jupyter Notebook to replicate with your own hardware.

  
      
      Towards Data Science – 17 Feb 19
  
  
    

RTX 2060 Vs GTX 1080Ti in Deep Learning GPU Benchmarks: Cheapest RTX vs. Most... 33

I trained Cifar-10 and Cifar-100 on a PC, comparing my GTX 1080Ti for a RTX 2060, using Resnet with Fast.ai and PyTorch.

  Reading time: 6 min read