Python EOY2018

Intel Core i9-7960X testing with a MSI X299 SLI PLUS (MS-7A93) v1.0 (1.A0 BIOS) and Gigabyte AMD Radeon RX 550/550X 2GB on Ubuntu 18.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 1812271-SP-PYTHONEOY30
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Intel Python 2019 Update 1
December 27 2018
  38 Minutes
Ubuntu Python
December 27 2018
  40 Minutes
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Python EOY2018OpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-7960X @ 4.40GHz (16 Cores / 32 Threads)MSI X299 SLI PLUS (MS-7A93) v1.0 (1.A0 BIOS)Intel Sky Lake-E DMI3 Registers16384MB256GB INTEL SSDPEKKW256G8Gigabyte AMD Radeon RX 550/550X 2GB (1206/1750MHz)Realtek ALC1220ASUS VP28UIntel ConnectionUbuntu 18.104.20.0-042000-generic (x86_64)GNOME Shell 3.30.1X Server 1.20.1modesetting 1.20.14.5 Mesa 18.2.2 (LLVM 7.0.0)1.1.70GCC 8.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionPython EOY2018 BenchmarksSystem Logs- Scaling Governor: intel_pstate powersave- Intel Python 2019 Update 1: Python 3.6.5 :: Intel- Ubuntu Python: Python 2.7.15+ + Python 3.6.7- KPTI + __user pointer sanitization + Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + SSB disabled via prctl and seccomp + PTE Inversion; VMX: conditional cache flushes SMT vulnerable

Numpy Benchmark

This is a test to obtain the general Numpy performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNanoseconds, Fewer Is BetterNumpy BenchmarkIntel Python 2019 Update 1Ubuntu Python1000K2000K3000K4000K5000K45905604649387

Cython benchmark

Stress benchmark tests to measure time consumed by cython code Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCython benchmark 0.27Intel Python 2019 Update 1Ubuntu Python1428425670SE +/- 0.08, N = 3SE +/- 0.54, N = 326.2262.26
OpenBenchmarking.orgSeconds, Fewer Is BetterCython benchmark 0.27Intel Python 2019 Update 1Ubuntu Python1224364860Min: 26.06 / Avg: 26.22 / Max: 26.31Min: 61.54 / Avg: 62.26 / Max: 63.32

PyBench

This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesIntel Python 2019 Update 1Ubuntu Python30060090012001500SE +/- 25.91, N = 31380970
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesIntel Python 2019 Update 1Ubuntu Python2004006008001000Min: 1351 / Avg: 1380.33 / Max: 1432