contabo-vps-s-ssd-python KVM VMware testing on Ubuntu 20.04 via the Phoronix Test Suite. Intel Xeon E5-2630 v4: Processor: Intel Xeon E5-2630 v4 (4 Cores), Motherboard: QEMU Standard PC (i440FX + PIIX 1996) (rel-1.12.1-0-ga5cab58e9a3f-prebuilt.qemu.org BIOS), Chipset: Intel 440FX 82441FX PMC, Memory: 1 x 8192 MB RAM QEMU, Disk: 215GB QEMU HDD, Graphics: VMware SVGA II, Network: Red Hat Virtio device OS: Ubuntu 20.04, Kernel: 5.4.0-81-generic (x86_64), Vulkan: 1.0.2, Compiler: GCC 9.3.0, File-System: ext4, System Layer: KVM VMware Numpy Benchmark Score > Higher Is Better Intel Xeon E5-2630 v4 . 128.72 |=============================================== Cython Benchmark 0.29.21 Test: N-Queens Seconds < Lower Is Better Intel Xeon E5-2630 v4 . 56.53 |================================================ PyBench 2018-02-16 Total For Average Test Times Milliseconds < Lower Is Better Intel Xeon E5-2630 v4 . 1978 |================================================= PyPerformance 1.0.0 Benchmark: go Milliseconds < Lower Is Better Intel Xeon E5-2630 v4 . 651 |================================================== PyPerformance 1.0.0 Benchmark: 2to3 Milliseconds < Lower Is Better Intel Xeon E5-2630 v4 . 862 |================================================== PyPerformance 1.0.0 Benchmark: chaos Milliseconds < Lower Is Better Intel Xeon E5-2630 v4 . 286 |================================================== PyPerformance 1.0.0 Benchmark: float Milliseconds < Lower Is Better Intel Xeon E5-2630 v4 . 306 |================================================== PyPerformance 1.0.0 Benchmark: nbody Milliseconds < Lower Is Better Intel Xeon E5-2630 v4 . 323 |================================================== PyPerformance 1.0.0 Benchmark: pathlib Milliseconds < Lower Is Better Intel Xeon E5-2630 v4 . 52.9 |================================================= PyPerformance 1.0.0 Benchmark: raytrace Milliseconds < Lower Is Better Intel Xeon E5-2630 v4 . 1.42 |================================================= PyPerformance 1.0.0 Benchmark: json_loads Milliseconds < Lower Is Better Intel Xeon E5-2630 v4 . 78.8 |================================================= PyPerformance 1.0.0 Benchmark: crypto_pyaes Milliseconds < Lower Is Better Intel Xeon E5-2630 v4 . 337 |================================================== PyPerformance 1.0.0 Benchmark: regex_compile Milliseconds < Lower Is Better Intel Xeon E5-2630 v4 . 540 |================================================== PyPerformance 1.0.0 Benchmark: python_startup Milliseconds < Lower Is Better Intel Xeon E5-2630 v4 . 34.6 |================================================= PyPerformance 1.0.0 Benchmark: django_template Milliseconds < Lower Is Better Intel Xeon E5-2630 v4 . 168 |================================================== PyPerformance 1.0.0 Benchmark: pickle_pure_python Milliseconds < Lower Is Better Intel Xeon E5-2630 v4 . 1.48 |================================================= Numenta Anomaly Benchmark 1.1 Detector: EXPoSE Seconds < Lower Is Better Intel Xeon E5-2630 v4 . 485.47 |=============================================== Numenta Anomaly Benchmark 1.1 Detector: Relative Entropy Seconds < Lower Is Better Intel Xeon E5-2630 v4 . 151.50 |=============================================== Numenta Anomaly Benchmark 1.1 Detector: Windowed Gaussian Seconds < Lower Is Better Intel Xeon E5-2630 v4 . 82.09 |================================================ Numenta Anomaly Benchmark 1.1 Detector: Earthgecko Skyline Seconds < Lower Is Better Intel Xeon E5-2630 v4 . 1237.12 |============================================== Numenta Anomaly Benchmark 1.1 Detector: Bayesian Changepoint Seconds < Lower Is Better Intel Xeon E5-2630 v4 . 288.26 |=============================================== Mlpack Benchmark Benchmark: scikit_svm Seconds < Lower Is Better Intel Xeon E5-2630 v4 . 47.83 |================================================ Scikit-Learn 0.22.1 Seconds < Lower Is Better Intel Xeon E5-2630 v4 . 242.73 |===============================================