charmeleon pre cpu upgrade python

charmeleon pre cpu upgrade python

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charmeleon pre cpu upgrade python
November 28 2020
  1 Hour, 9 Minutes
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charmeleon pre cpu upgrade python

Processor: AMD Ryzen 5 2600 Six-Core @ 3.40GHz (6 Cores / 12 Threads), Motherboard: Gigabyte X570 AORUS ELITE WIFI (F20 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: Samsung SSD 970 EVO 500GB + 500GB Samsung SSD 850 + 120GB KINGSTON SV300S3, Graphics: Sapphire AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1350/2000MHz), Audio: AMD Ellesmere HDMI Audio, Monitor: DELL U2717D, Network: Intel I211 + Intel Dual Band-AC 3168NGW

OS: Fedora 33, Kernel: 5.9.10-200.fc33.x86_64 (x86_64), Desktop: KDE Plasma 5.20.3, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 4.6 Mesa 20.2.3 (LLVM 11.0.0), Compiler: GCC 10.2.1 20201016, File-System: btrfs, Screen Resolution: 2560x1440

Compiler Notes: --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,fortran,objc,obj-c++,ada,go,d,lto --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=i686 --with-gcc-major-version-only --with-isl --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver
Processor Notes: Scaling Governor: acpi-cpufreq schedutil - CPU Microcode: 0x800820d
Python Notes: Python 3.9.0
Security Notes: SELinux + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + 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 AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

charmeleon pre cpu upgrade pythonOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 5 2600 Six-Core @ 3.40GHz (6 Cores / 12 Threads)Gigabyte X570 AORUS ELITE WIFI (F20 BIOS)AMD 17h32GBSamsung SSD 970 EVO 500GB + 500GB Samsung SSD 850 + 120GB KINGSTON SV300S3Sapphire AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1350/2000MHz)AMD Ellesmere HDMI AudioDELL U2717DIntel I211 + Intel Dual Band-AC 3168NGWFedora 335.9.10-200.fc33.x86_64 (x86_64)KDE Plasma 5.20.3X Server 1.20.9modesetting 1.20.94.6 Mesa 20.2.3 (LLVM 11.0.0)GCC 10.2.1 20201016btrfs2560x1440ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionCharmeleon Pre Cpu Upgrade Python BenchmarksSystem Logs- --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,fortran,objc,obj-c++,ada,go,d,lto --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=i686 --with-gcc-major-version-only --with-isl --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver - Scaling Governor: acpi-cpufreq schedutil - CPU Microcode: 0x800820d- Python 3.9.0- SELinux + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + 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 AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

charmeleon pre cpu upgrade 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_pythonmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressionscikit-learn: charmeleon pre cpu upgrade python280.6930.479137134845816416418221.673333.216023422.179.270060.6083.8421.715.0612.154OpenBenchmarking.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 Benchmarkcharmeleon pre cpu upgrade python60120180240300SE +/- 0.56, N = 3280.69

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 0.27charmeleon pre cpu upgrade python714212835SE +/- 0.18, N = 330.48

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 Timescharmeleon pre cpu upgrade python300600900120015001371

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: gocharmeleon pre cpu upgrade python80160240320400SE +/- 1.00, N = 3348

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3charmeleon pre cpu upgrade python100200300400500SE +/- 0.58, N = 3458

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaoscharmeleon pre cpu upgrade python4080120160200164

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatcharmeleon pre cpu upgrade python4080120160200164

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodycharmeleon pre cpu upgrade python4080120160200SE +/- 0.33, N = 3182

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibcharmeleon pre cpu upgrade python510152025SE +/- 0.03, N = 321.6

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytracecharmeleon pre cpu upgrade python160320480640800SE +/- 1.33, N = 3733

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadscharmeleon pre cpu upgrade python816243240SE +/- 0.09, N = 333.2

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaescharmeleon pre cpu upgrade python4080120160200160

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compilecharmeleon pre cpu upgrade python50100150200250SE +/- 0.67, N = 3234

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupcharmeleon pre cpu upgrade python510152025SE +/- 0.09, N = 322.1

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templatecharmeleon pre cpu upgrade python20406080100SE +/- 0.09, N = 379.2

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythoncharmeleon pre cpu upgrade python150300450600750700

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icacharmeleon pre cpu upgrade python1428425670SE +/- 0.24, N = 360.60

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdacharmeleon pre cpu upgrade python20406080100SE +/- 1.11, N = 383.84

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmcharmeleon pre cpu upgrade python510152025SE +/- 0.01, N = 321.71

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressioncharmeleon pre cpu upgrade python1.13852.2773.41554.5545.6925SE +/- 0.06, N = 35.06

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 0.22.1charmeleon pre cpu upgrade python3691215SE +/- 0.03, N = 312.15

charmeleon pre cpu upgrade python

Processor: AMD Ryzen 5 2600 Six-Core @ 3.40GHz (6 Cores / 12 Threads), Motherboard: Gigabyte X570 AORUS ELITE WIFI (F20 BIOS), Chipset: AMD 17h, Memory: 32GB, Disk: Samsung SSD 970 EVO 500GB + 500GB Samsung SSD 850 + 120GB KINGSTON SV300S3, Graphics: Sapphire AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1350/2000MHz), Audio: AMD Ellesmere HDMI Audio, Monitor: DELL U2717D, Network: Intel I211 + Intel Dual Band-AC 3168NGW

OS: Fedora 33, Kernel: 5.9.10-200.fc33.x86_64 (x86_64), Desktop: KDE Plasma 5.20.3, Display Server: X Server 1.20.9, Display Driver: modesetting 1.20.9, OpenGL: 4.6 Mesa 20.2.3 (LLVM 11.0.0), Compiler: GCC 10.2.1 20201016, File-System: btrfs, Screen Resolution: 2560x1440

Compiler Notes: --build=x86_64-redhat-linux --disable-libunwind-exceptions --enable-__cxa_atexit --enable-bootstrap --enable-cet --enable-checking=release --enable-gnu-indirect-function --enable-gnu-unique-object --enable-initfini-array --enable-languages=c,c++,fortran,objc,obj-c++,ada,go,d,lto --enable-multilib --enable-offload-targets=nvptx-none --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-arch_32=i686 --with-gcc-major-version-only --with-isl --with-linker-hash-style=gnu --with-tune=generic --without-cuda-driver
Processor Notes: Scaling Governor: acpi-cpufreq schedutil - CPU Microcode: 0x800820d
Python Notes: Python 3.9.0
Security Notes: SELinux + itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + 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 AMD retpoline IBPB: conditional STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

Testing initiated at 28 November 2020 13:00 by user ryan.