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Performance testing numpy across different architectures and libraries

Simply run

python3 test.py

and take note of your runtime. If will be 20-60s on a modern computer.

A few results from my hardwares:

Hardware Os Python Math library Comment Time (s)
Macbook Air m1 MacOS Big Sur 3.9.1 CBLAS/LAPACK Anaconda install 22
Intel 9600k Ubuntu 20.04 3.8.5 OpenBLAS standard apt and pip install 27
Intel 9600k Ubuntu 20.04 3.9.0 OpenBLAS standard apt and pip install 27
Intel 9600k MacOS Catalina 3.8.5 MKL Hackintosh with Clover, Anaconda install 28
Intel 9600k Windows 10 3.8.5 MKL Anaconda install 28
Intel 9600k MacOS Big Sur 3.9.1 OpenBLAS Hackintosh with OpenCore, brew and pip install 29
Intel 9600k MacOS Big Sur 3.8.7 OpenBLAS Hackintosh with OpenCore, brew and pip install 32
Intel 9600k MacOS Catalina 3.8.7 OpenBLAS Hackintosh with Clover, brew and pip install 33
Intel 9600k Ubuntu 20.04 3.7.9 MKL Anaconda Intel proprietary Python+Numpy 34
Macbook Pro i5-7360U MacOS Catalina 3.8.5 MKL Anaconda install 38
Intel NUC N8280 Ubuntu 20.04 3.8.5 OpenBLAS standard apt and pip install 181
Raspberry Pi 4 Raspbian Linux 10 3.7.3 181

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