Everything on that benchmark page is listed as GFLOPS/core so at 30GFLOPS that Epyc 7551 should be pushing around 2 TFLOPS. You can take a look at reproducing t

Everything on that benchmark page is listed as GFLOPS/core so at 30GFLOPS that Epyc 7551 should be pushing around 2 TFLOPS. You can take a look at reproducing them if you want if you have a similar system: https://github.com/flame/blis/blob/master/docs/Performance.md#reproduction https://github.com/flame/blis/blob/master/docs/Performance.m... I ran into some compile issues, but I care more about numpy so I gave this script a try: https://markus-beuckelmann.de/blog/boosting-numpy-blas.html https://markus-beuckelmann.de/blog/boosting-numpy-blas.html with some quick/dirty results on my Ryzen 3700X (8C16T) workstation (BLIS doesn't seem to perform very well on this small test). You can see performance basically double on MKL when MKL_DEBUG_CPU_TYPE=5 is used. I'll probably continue to stick w/ OpenBLAS for now: ## blis 0.6.0 h516909a_0 # conda activate numpy-blis # conda run python bench.py Dotted two 4096x4096 matrices in 2.30 s. Dotted two vectors of length 524288 in 0.08 ms. SVD of a 2048x1024 matrix in 0.94 s. Cholesky decomposition of a 2048x2048 matrix in 0.24 s. Eigendecomposition of a 2048x2048 matrix in 6.36 s. ## libopenblas 0.3.7 h5ec1e0e_4 # conda activate numpy-openblas # conda run python bench.py Dotted two 4096x4096 matrices in 0.41 s. Dotted two vectors of length 524288 in 0.02 ms. SVD of a 2048x1024 matrix in 0.55 s. Cholesky decomposition of a 2048x2048 matrix in 0.14 s. Eigendecomposition of a 2048x2048 matrix in 5.53 s. ## mkl 2019.4 243 # conda activate numpy-mkl # conda run python bench.py Dotted two 4096x4096 matrices in 1.53 s. Dotted two vectors of length 524288 in 0.02 ms. SVD of a 2048x1024 matrix in 0.51 s. Cholesky decomposition of a 2048x2048 matrix in 0.29 s. Eigendecomposition of a 2048x2048 matrix in 4.79 s. # export MKL_DEBUG_CPU_TYPE=5 # conda run python bench.py Dotted two 4096x4096 matrices in 0.33 s. Dotted two vectors of length 524288 in 0.02 ms. SVD of a 2048x1024 matrix in 0.29 s. Cholesky decomposition of a 2048x2048 matrix in 0.15 s. Eigendecomposition of a 2048x2048 matrix in 3.29 s.