pythontests
AMD EPYC 7302P 16-Core testing with a Supermicro H11SSL-i v2.00 (2.1 BIOS) and ASPEED on CentOS 7.8.2003 via the Phoronix Test Suite.


AMD EPYC 7302P 16-Core: 

	Processor: AMD EPYC 7302P 16-Core @ 3.00GHz (16 Cores / 32 Threads), Motherboard: Supermicro H11SSL-i v2.00 (2.1 BIOS), Chipset: AMD Starship/Matisse, Memory: 4 x 64 GB DDR4-3200MT/s 36ASF8G72PZ-3G2E1, Disk: 2 x 1600GB SAMSUNG MZPLL1T6HAJQ-00005 + 2 x 960GB Micron_5300_MTFD + 4 x 10001GB HGST HUH721010AL, Graphics: ASPEED, Network: 2 x Mellanox MT27710 + 2 x Intel I210

	OS: CentOS 7.8.2003, Kernel: 3.10.0-1127.19.1.el7.x86_64 (x86_64), Compiler: GCC 4.8.5 20150623, File-System: xfs, Screen Resolution: 1024x768


PyBench 2018-02-16
Total For Average Test Times
Milliseconds < Lower Is Better
AMD EPYC 7302P 16-Core . 1784 |================================================


PyPerformance 1.0.0
Benchmark: go
Milliseconds < Lower Is Better
AMD EPYC 7302P 16-Core . 452 |=================================================


PyPerformance 1.0.0
Benchmark: 2to3
Milliseconds < Lower Is Better
AMD EPYC 7302P 16-Core . 530 |=================================================


PyPerformance 1.0.0
Benchmark: chaos
Milliseconds < Lower Is Better
AMD EPYC 7302P 16-Core . 225 |=================================================


PyPerformance 1.0.0
Benchmark: float
Milliseconds < Lower Is Better
AMD EPYC 7302P 16-Core . 208 |=================================================


PyPerformance 1.0.0
Benchmark: nbody
Milliseconds < Lower Is Better
AMD EPYC 7302P 16-Core . 202 |=================================================


PyPerformance 1.0.0
Benchmark: pathlib
Milliseconds < Lower Is Better
AMD EPYC 7302P 16-Core . 28.7 |================================================


PyPerformance 1.0.0
Benchmark: raytrace
Milliseconds < Lower Is Better
AMD EPYC 7302P 16-Core . 1.04 |================================================


PyPerformance 1.0.0
Benchmark: json_loads
Milliseconds < Lower Is Better
AMD EPYC 7302P 16-Core . 36.4 |================================================


PyPerformance 1.0.0
Benchmark: crypto_pyaes
Milliseconds < Lower Is Better
AMD EPYC 7302P 16-Core . 190 |=================================================


PyPerformance 1.0.0
Benchmark: regex_compile
Milliseconds < Lower Is Better
AMD EPYC 7302P 16-Core . 331 |=================================================


PyPerformance 1.0.0
Benchmark: python_startup
Milliseconds < Lower Is Better
AMD EPYC 7302P 16-Core . 14.8 |================================================


PyPerformance 1.0.0
Benchmark: django_template
Milliseconds < Lower Is Better
AMD EPYC 7302P 16-Core . 128 |=================================================


PyPerformance 1.0.0
Benchmark: pickle_pure_python
Milliseconds < Lower Is Better
AMD EPYC 7302P 16-Core . 919 |=================================================


Numenta Anomaly Benchmark 1.1
Detector: EXPoSE
Seconds < Lower Is Better
AMD EPYC 7302P 16-Core . 1125.90 |=============================================


Numenta Anomaly Benchmark 1.1
Detector: Relative Entropy
Seconds < Lower Is Better
AMD EPYC 7302P 16-Core . 24.26 |===============================================


Numenta Anomaly Benchmark 1.1
Detector: Windowed Gaussian
Seconds < Lower Is Better
AMD EPYC 7302P 16-Core . 11.51 |===============================================


Numenta Anomaly Benchmark 1.1
Detector: Earthgecko Skyline
Seconds < Lower Is Better
AMD EPYC 7302P 16-Core . 115.82 |==============================================


Numenta Anomaly Benchmark 1.1
Detector: Bayesian Changepoint
Seconds < Lower Is Better
AMD EPYC 7302P 16-Core . 56.36 |===============================================