python-x-1 Intel Core i7-6700 testing with a HP 8054 (N01 Ver. 02.51 BIOS) and Intel HD 530 on Ubuntu 20.04 via the Phoronix Test Suite. Intel Core i7-6700: Processor: Intel Core i7-6700 @ 4.00GHz (4 Cores / 8 Threads), Motherboard: HP 8054 (N01 Ver. 02.51 BIOS), Chipset: Intel Xeon E3-1200 v5/E3-1500, Memory: 16GB, Disk: 500GB Western Digital WD5000LPVX-8, Graphics: Intel HD 530 (1150MHz), Audio: Realtek ALC221, Monitor: AL1707 A, Network: Intel I219-LM OS: Ubuntu 20.04, Kernel: 5.4.0-80-generic (x86_64), Desktop: GNOME Shell 3.36.9, Display Server: X Server 1.20.11, Vulkan: 1.0.2, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1280x1024 Numpy Benchmark Score > Higher Is Better Intel Core i7-6700 . 302.62 |================================================== Cython Benchmark 0.29.21 Test: N-Queens Seconds < Lower Is Better Intel Core i7-6700 . 26.62 |=================================================== PyBench 2018-02-16 Total For Average Test Times Milliseconds < Lower Is Better Intel Core i7-6700 . 1141 |==================================================== PyPerformance 1.0.0 Benchmark: go Milliseconds < Lower Is Better Intel Core i7-6700 . 257 |===================================================== PyPerformance 1.0.0 Benchmark: 2to3 Milliseconds < Lower Is Better Intel Core i7-6700 . 341 |===================================================== PyPerformance 1.0.0 Benchmark: chaos Milliseconds < Lower Is Better Intel Core i7-6700 . 110 |===================================================== PyPerformance 1.0.0 Benchmark: float Milliseconds < Lower Is Better Intel Core i7-6700 . 121 |===================================================== PyPerformance 1.0.0 Benchmark: nbody Milliseconds < Lower Is Better Intel Core i7-6700 . 133 |===================================================== PyPerformance 1.0.0 Benchmark: pathlib Milliseconds < Lower Is Better Intel Core i7-6700 . 20.6 |==================================================== PyPerformance 1.0.0 Benchmark: raytrace Milliseconds < Lower Is Better Intel Core i7-6700 . 485 |===================================================== PyPerformance 1.0.0 Benchmark: json_loads Milliseconds < Lower Is Better Intel Core i7-6700 . 26.2 |==================================================== PyPerformance 1.0.0 Benchmark: crypto_pyaes Milliseconds < Lower Is Better Intel Core i7-6700 . 113 |===================================================== PyPerformance 1.0.0 Benchmark: regex_compile Milliseconds < Lower Is Better Intel Core i7-6700 . 181 |===================================================== PyPerformance 1.0.0 Benchmark: python_startup Milliseconds < Lower Is Better Intel Core i7-6700 . 9.95 |==================================================== PyPerformance 1.0.0 Benchmark: django_template Milliseconds < Lower Is Better Intel Core i7-6700 . 48.6 |==================================================== PyPerformance 1.0.0 Benchmark: pickle_pure_python Milliseconds < Lower Is Better Intel Core i7-6700 . 440 |===================================================== Numenta Anomaly Benchmark 1.1 Detector: EXPoSE Seconds < Lower Is Better Intel Core i7-6700 . 132.90 |================================================== Numenta Anomaly Benchmark 1.1 Detector: Relative Entropy Seconds < Lower Is Better Intel Core i7-6700 . 44.89 |=================================================== Numenta Anomaly Benchmark 1.1 Detector: Windowed Gaussian Seconds < Lower Is Better Intel Core i7-6700 . 26.72 |=================================================== Numenta Anomaly Benchmark 1.1 Detector: Earthgecko Skyline Seconds < Lower Is Better Intel Core i7-6700 . 277.97 |================================================== Numenta Anomaly Benchmark 1.1 Detector: Bayesian Changepoint Seconds < Lower Is Better Intel Core i7-6700 . 74.95 |=================================================== Mlpack Benchmark Benchmark: scikit_svm Seconds < Lower Is Better Intel Core i7-6700 . 28.85 |=================================================== Scikit-Learn 0.22.1 Seconds < Lower Is Better Intel Core i7-6700 . 166.10 |==================================================