debian-python Intel Core i7-5600U testing with a Dell 09X6YN (A20 BIOS) and Intel HD 5500 3GB on Debian unstable via the Phoronix Test Suite. debian-python: Processor: Intel Core i7-5600U @ 3.20GHz (2 Cores / 4 Threads), Motherboard: Dell 09X6YN (A20 BIOS), Chipset: Intel Broadwell-U-OPI, Memory: 8GB, Disk: 250GB Samsung SSD 860, Graphics: Intel HD 5500 3GB (950MHz), Audio: Intel Broadwell-U Audio, Network: Intel I218-LM + Intel 7265 OS: Debian unstable, Kernel: 5.6.4-xanmod1 (x86_64), Desktop: GNOME Shell 3.36.2, Display Server: Wayland, OpenGL: 4.6 Mesa 20.0.6, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 Numpy Benchmark Score > Higher Is Better debian-python . 189.29 |======================================================= Cython benchmark 0.27 Seconds < Lower Is Better debian-python . 32.76 |======================================================== PyBench 2018-02-16 Total For Average Test Times Milliseconds < Lower Is Better debian-python . 1362 |========================================================= PyPerformance 1.0.0 Benchmark: go Milliseconds < Lower Is Better debian-python . 329 |========================================================== PyPerformance 1.0.0 Benchmark: 2to3 Milliseconds < Lower Is Better debian-python . 447 |========================================================== PyPerformance 1.0.0 Benchmark: chaos Milliseconds < Lower Is Better debian-python . 139 |========================================================== PyPerformance 1.0.0 Benchmark: float Milliseconds < Lower Is Better debian-python . 157 |========================================================== PyPerformance 1.0.0 Benchmark: nbody Milliseconds < Lower Is Better debian-python . 160 |========================================================== PyPerformance 1.0.0 Benchmark: pathlib Milliseconds < Lower Is Better debian-python . 27.6 |========================================================= PyPerformance 1.0.0 Benchmark: raytrace Milliseconds < Lower Is Better debian-python . 617 |========================================================== PyPerformance 1.0.0 Benchmark: json_loads Milliseconds < Lower Is Better debian-python . 31.6 |========================================================= PyPerformance 1.0.0 Benchmark: crypto_pyaes Milliseconds < Lower Is Better debian-python . 141 |========================================================== PyPerformance 1.0.0 Benchmark: regex_compile Milliseconds < Lower Is Better debian-python . 226 |========================================================== PyPerformance 1.0.0 Benchmark: python_startup Milliseconds < Lower Is Better debian-python . 11.8 |========================================================= PyPerformance 1.0.0 Benchmark: django_template Milliseconds < Lower Is Better debian-python . 65.5 |========================================================= PyPerformance 1.0.0 Benchmark: pickle_pure_python Milliseconds < Lower Is Better debian-python . 583 |========================================================== Numenta Anomaly Benchmark 1.1 Detector: EXPoSE Seconds < Lower Is Better debian-python . 340.88 |======================================================= Numenta Anomaly Benchmark 1.1 Detector: Relative Entropy Seconds < Lower Is Better debian-python . 109.03 |======================================================= Numenta Anomaly Benchmark 1.1 Detector: Windowed Gaussian Seconds < Lower Is Better debian-python . 59.62 |======================================================== Numenta Anomaly Benchmark 1.1 Detector: Earthgecko Skyline Seconds < Lower Is Better debian-python . 748.83 |======================================================= Numenta Anomaly Benchmark 1.1 Detector: Bayesian Changepoint Seconds < Lower Is Better debian-python . 207.63 |======================================================= Mlpack Benchmark Benchmark: scikit_svm Seconds < Lower Is Better debian-python . 26.85 |======================================================== Scikit-Learn 0.22.1 Seconds < Lower Is Better debian-python . 147.27 |=======================================================