20201017-precision-3620-linux-59-python

Intel Core i7-7700 testing with a Dell 0MWYPT (2.11.0 BIOS) and AMD Radeon Pro WX 5100 8GB on MarIuX64 2.0 GNU/Linux 2010-2012 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 2010177-FI-20201017P84
Jump To Table - Results

Statistics

Remove Outliers Before Calculating Averages

Graph Settings

Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
Intel Core i7-7700
October 17 2020
  2 Hours, 30 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


20201017-precision-3620-linux-59-pythonOpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-7700 @ 4.20GHz (4 Cores / 8 Threads)Dell 0MWYPT (2.11.0 BIOS)Intel Xeon E3-1200 v6/7th32GB500GB TOSHIBA DT01ACA0AMD Radeon Pro WX 5100 8GB (1086/1250MHz)Intel 100 /C230DELL UP2716DIntel I219-LMMarIuX64 2.0 GNU/Linux 2010-20125.9.0.mx64.348 (x86_64)Xfce 4.14X Server 1.20.7amdgpu 19.1.04.6 Mesa 20.1.7 (LLVM 9.0.1)GCC 7.5.0 + TCC 0.9.27 + Clang 9.0.1 + LLVM 9.0.1 + CUDA 7.5xfs2560x1440ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution20201017-precision-3620-linux-59-python BenchmarksSystem Logs- --bindir=/usr/bin --datadir=/usr/share --datarootdir=/usr/share --disable-multilib --docdir=/usr/share/doc/gcc --enable-__cxa_atexit --enable-clocale=gnu --enable-languages=c,fortran,c++,objc,obj-c++ --enable-shared --enable-threads=posix --exec-prefix=/usr --includedir=/usr/include --localedir=/usr/share/locale --localstatedir=/var --mandir=/usr/share/man --sbindir=/usr/sbin --sharedstatedir=/var --sysconfdir=/etc --with-diagnostics-color=auto-if-env - Scaling Governor: intel_pstate performance - CPU Microcode: 0x8e- Python 3.7.7- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Vulnerable: Clear buffers attempted no microcode; 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 + srbds: Vulnerable: No microcode + tsx_async_abort: Vulnerable: Clear buffers attempted no microcode; SMT vulnerable

20201017-precision-3620-linux-59-pythonnumpy: cython-bench: pybench: Total For Average Test Timespyperformance: gopyperformance: 2to3pyperformance: chaospyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: raytracepyperformance: json_loadspyperformance: crypto_pyaespyperformance: regex_compilepyperformance: python_startuppyperformance: django_templatepyperformance: pickle_pure_pythonnumenta-nab: EXPoSEnumenta-nab: Relative Entropynumenta-nab: Windowed Gaussiannumenta-nab: Earthgecko Skylinenumenta-nab: Bayesian Changepointmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressionscikit-learn: Intel Core i7-7700332.3126.579128534039214913514822.868930.013323210.177.4620859.76747.27724.566267.00087.55848.8661.7026.373.4610.951OpenBenchmarking.org

Numpy Benchmark

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

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkIntel Core i7-770070140210280350SE +/- 1.09, N = 3332.31

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 Core i7-7700612182430SE +/- 0.20, N = 326.58

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 Core i7-770030060090012001500SE +/- 2.00, N = 31285

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: goIntel Core i7-770070140210280350340

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3Intel Core i7-770090180270360450392

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosIntel Core i7-7700306090120150149

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatIntel Core i7-7700306090120150135

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyIntel Core i7-7700306090120150148

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibIntel Core i7-7700510152025SE +/- 0.03, N = 322.8

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceIntel Core i7-7700150300450600750689

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsIntel Core i7-7700714212835SE +/- 0.06, N = 330.0

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesIntel Core i7-7700306090120150133

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileIntel Core i7-770050100150200250232

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupIntel Core i7-77003691215SE +/- 0.00, N = 310.1

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateIntel Core i7-770020406080100SE +/- 0.06, N = 377.4

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonIntel Core i7-7700130260390520650SE +/- 0.88, N = 3620

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: EXPoSEIntel Core i7-77002004006008001000SE +/- 1.42, N = 3859.77

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative EntropyIntel Core i7-77001122334455SE +/- 0.56, N = 1547.28

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed GaussianIntel Core i7-7700612182430SE +/- 0.06, N = 324.57

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko SkylineIntel Core i7-770060120180240300SE +/- 0.67, N = 3267.00

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian ChangepointIntel Core i7-770020406080100SE +/- 0.03, N = 387.56

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaIntel Core i7-77001122334455SE +/- 0.03, N = 348.86

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaIntel Core i7-77001428425670SE +/- 0.64, N = 861.70

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmIntel Core i7-7700612182430SE +/- 0.04, N = 326.37

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionIntel Core i7-77000.77851.5572.33553.1143.8925SE +/- 0.05, N = 43.46

Scikit-Learn

Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1Intel Core i7-77003691215SE +/- 0.01, N = 310.95