pythonbench

Intel Core i7-3770 testing with a Gigabyte H77-D3H (F16b BIOS) and MSI NVIDIA GeForce GTX 1070 8GB on Ubuntu 18.04 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 2005304-NI-PYTHONBEN52
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
basic
May 30 2020
  36 Minutes
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pythonbenchOpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-3770 @ 3.90GHz (4 Cores / 8 Threads)Gigabyte H77-D3H (F16b BIOS)Intel Xeon E3-1200 v2/3rd24GB525GB Crucial_CT525MX3 + 320GB Western Digital WD3200BEKT-6 + 320GB Western Digital WD3200BEKT-0 + 1000GB Western Digital WD10EZRX-00AMSI NVIDIA GeForce GTX 1070 8GB (1632/4050MHz)VIA VT2020BenQ EX2780QRealtek RTL8169 PCI + Qualcomm Atheros AR8151 v2.0Ubuntu 18.044.15.0-74-generic (x86_64)GNOME Shell 3.28.3X Server 1.19.6NVIDIA 396.544.6.0GCC 7.5.0ext42560x1440ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionPythonbench BenchmarksSystem Logs- Scaling Governor: intel_pstate powersave - CPU Microcode: 0x21- Python 2.7.17 + Python 3.6.9- itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + tsx_async_abort: Not affected

pythonbenchpyperformance: gopyperformance: 2to3pyperformance: chaospyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: raytracepyperformance: json_loadspyperformance: crypto_pyaespyperformance: regex_compilepyperformance: python_startuppyperformance: django_templatepyperformance: pickle_pure_pythonbasic37549918515817433.583936.814627019.1126780OpenBenchmarking.org

PyPerformance

PyPerformance is the reference Python performance benchmark suite. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: gobasic80160240320400375

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3basic110220330440550499

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosbasic4080120160200185

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatbasic306090120150SE +/- 0.33, N = 3158

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodybasic4080120160200174

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibbasic816243240SE +/- 0.03, N = 333.5

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytracebasic2004006008001000839

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsbasic816243240SE +/- 0.03, N = 336.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesbasic306090120150146

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compilebasic60120180240300270

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupbasic510152025SE +/- 0.00, N = 319.1

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templatebasic306090120150SE +/- 0.33, N = 3126

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonbasic2004006008001000SE +/- 0.58, N = 3780

13 Results Shown

PyPerformance:
  go
  2to3
  chaos
  float
  nbody
  pathlib
  raytrace
  json_loads
  crypto_pyaes
  regex_compile
  python_startup
  django_template
  pickle_pure_python