Performance difference in Colab and Jupyter notebook

General Usage Performance
2
  1. probably because you’re running inside of WSL and you’re having to deal with a slower abstraction layer.
  2. perhaps.
  3. nothing you’re doing in that code will take advantage of multithreading or GPUs.

FWIW, on an Ubuntu virtual machine, I’m getting slower performance than you are:

julia> @benchmark mm(random_image_cpu)
BenchmarkTools.Trial: 
  memory estimate:  16 bytes
  allocs estimate:  1
  --------------
  minimum time:     221.761 μs (0.00% GC)
  median time:      1.375 ms (0.00% GC)
  mean time:        1.383 ms (0.00% GC)
  maximum time:     2.863 ms (0.00% GC)
  --------------
  samples:          3555
  evals/sample:     1

This is with 32GB of RAM, so it’s not a memory issue (the array is only about 23MB.)

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