sia-3000mts-ddr4-furyan-07-data-science-bench

AMD Ryzen 7 5700G testing with a MSI MAG B550 TORPEDO (MS-7C91) v3.0 (H.53 BIOS) and AMD Cezanne 2GB 2x8GB 3000MT/s Manjaro 21.1.6

HTML result view exported from: https://openbenchmarking.org/result/2111092-SHAW-SIA300087.

sia-3000mts-ddr4-furyan-07-data-science-benchProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionSia - 3000MT/s - furyan-07-data-science-benchAMD Ryzen 7 5700G @ 3.80GHz (8 Cores / 16 Threads)MSI MAG B550 TORPEDO (MS-7C91) v3.0 (H.53 BIOS)AMD Renoir Root Complex14GB2000GB Samsung SSD 970 EVO Plus 2TBAMD Cezanne 2GB (2000/1500MHz)AMD Device 1637GNV34DBERealtek RTL8125 2.5GbE + Intel-AC 9260ManjaroLinux 21.1.65.13.19-2-MANJARO (x86_64)Xfce 4.16X Server 1.20.134.6 Mesa 21.2.3 (LLVM 12.0.1)1.2.182GCC 11.1.0 + Clang 12.0.1ext43440x1440OpenBenchmarking.org- Transparent Huge Pages: madvise- --disable-libssp --disable-libstdcxx-pch --disable-libunwind-exceptions --disable-werror --enable-__cxa_atexit --enable-cet=auto --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-default-ssp --enable-gnu-indirect-function --enable-gnu-unique-object --enable-install-libiberty --enable-languages=c,c++,ada,fortran,go,lto,objc,obj-c++,d --enable-lto --enable-multilib --enable-plugin --enable-shared --enable-threads=posix --mandir=/usr/share/man --with-isl --with-linker-hash-style=gnu - Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa50000c - Python 3.9.7- 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

sia-3000mts-ddr4-furyan-07-data-science-benchmrbayes: Primate Phylogeny Analysishmmer: Pfam Database Searchnumpy: cython-bench: N-Queenspybench: 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: Sia - 3000MT/s - furyan-07-data-science-bench91.68292.950488.2217.59876519827085.590.299.214.737118.782.91348.7537.733231.9362.3211.551.957.239OpenBenchmarking.org

Timed MrBayes Analysis

Primate Phylogeny Analysis

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MrBayes Analysis 3.2.7Primate Phylogeny AnalysisSia - 3000MT/s - furyan-07-data-science-bench20406080100SE +/- 1.29, N = 1591.681. (CC) gcc options: -mmmx -msse -msse2 -msse3 -mssse3 -msse4.1 -msse4.2 -msse4a -msha -maes -mavx -mfma -mavx2 -mrdrnd -mbmi -mbmi2 -madx -mabm -O3 -std=c99 -pedantic -lm -lreadline

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.2Pfam Database SearchSia - 3000MT/s - furyan-07-data-science-bench20406080100SE +/- 0.04, N = 392.951. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm -lmpi

Numpy Benchmark

OpenBenchmarking.orgScore, More Is BetterNumpy BenchmarkSia - 3000MT/s - furyan-07-data-science-bench110220330440550SE +/- 2.31, N = 3488.22

Cython Benchmark

Test: N-Queens

OpenBenchmarking.orgSeconds, Fewer Is BetterCython Benchmark 0.29.21Test: N-QueensSia - 3000MT/s - furyan-07-data-science-bench48121620SE +/- 0.01, N = 317.60

PyBench

Total For Average Test Times

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesSia - 3000MT/s - furyan-07-data-science-bench160320480640800SE +/- 0.67, N = 3765

PyPerformance

Benchmark: go

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goSia - 3000MT/s - furyan-07-data-science-bench4080120160200SE +/- 0.00, N = 3198

PyPerformance

Benchmark: 2to3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3Sia - 3000MT/s - furyan-07-data-science-bench60120180240300SE +/- 0.58, N = 3270

PyPerformance

Benchmark: chaos

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosSia - 3000MT/s - furyan-07-data-science-bench20406080100SE +/- 0.15, N = 385.5

PyPerformance

Benchmark: float

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatSia - 3000MT/s - furyan-07-data-science-bench20406080100SE +/- 0.23, N = 390.2

PyPerformance

Benchmark: nbody

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodySia - 3000MT/s - furyan-07-data-science-bench20406080100SE +/- 0.23, N = 399.2

PyPerformance

Benchmark: pathlib

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibSia - 3000MT/s - furyan-07-data-science-bench48121620SE +/- 0.00, N = 314.7

PyPerformance

Benchmark: raytrace

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceSia - 3000MT/s - furyan-07-data-science-bench80160240320400SE +/- 0.00, N = 3371

PyPerformance

Benchmark: json_loads

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsSia - 3000MT/s - furyan-07-data-science-bench510152025SE +/- 0.00, N = 318.7

PyPerformance

Benchmark: crypto_pyaes

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesSia - 3000MT/s - furyan-07-data-science-bench20406080100SE +/- 0.07, N = 382.9

PyPerformance

Benchmark: regex_compile

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileSia - 3000MT/s - furyan-07-data-science-bench306090120150SE +/- 0.00, N = 3134

PyPerformance

Benchmark: python_startup

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupSia - 3000MT/s - furyan-07-data-science-bench246810SE +/- 0.02, N = 38.75

PyPerformance

Benchmark: django_template

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateSia - 3000MT/s - furyan-07-data-science-bench918273645SE +/- 0.03, N = 337.7

PyPerformance

Benchmark: pickle_pure_python

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonSia - 3000MT/s - furyan-07-data-science-bench70140210280350SE +/- 0.00, N = 3332

Mlpack Benchmark

Benchmark: scikit_ica

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaSia - 3000MT/s - furyan-07-data-science-bench714212835SE +/- 0.05, N = 331.93

Mlpack Benchmark

Benchmark: scikit_qda

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaSia - 3000MT/s - furyan-07-data-science-bench1428425670SE +/- 0.12, N = 362.32

Mlpack Benchmark

Benchmark: scikit_svm

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmSia - 3000MT/s - furyan-07-data-science-bench3691215SE +/- 0.10, N = 311.55

Mlpack Benchmark

Benchmark: scikit_linearridgeregression

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregressionSia - 3000MT/s - furyan-07-data-science-bench0.43880.87761.31641.75522.194SE +/- 0.02, N = 31.95

Scikit-Learn

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.22.1Sia - 3000MT/s - furyan-07-data-science-bench246810SE +/- 0.026, N = 37.239


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