aoruspro_5950x_20210414 AMD Ryzen 9 5950X 16-Core testing with a Gigabyte B550M AORUS PRO (F12 BIOS) and ASUS NVIDIA GeForce GT 1030 on Ubuntu 20.04 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2104144-HA-AORUSPRO558&grr .
aoruspro_5950x_20210414 Processor Motherboard Chipset Memory Disk Graphics Audio Monitor Network OS Kernel Desktop Display Server Display Driver Compiler File-System Screen Resolution 202104142227 AMD Ryzen 9 5950X 16-Core @ 3.40GHz (16 Cores / 32 Threads) Gigabyte B550M AORUS PRO (F12 BIOS) AMD Starship/Matisse 64GB 2048GB ADATA SX8200PNP ASUS NVIDIA GeForce GT 1030 NVIDIA GP108 HD Audio 28E850 Realtek RTL8111/8168/8411 Ubuntu 20.04 5.11.13-051113-generic (x86_64) GNOME Shell 3.36.7 X Server 1.20.9 nouveau GCC 9.3.0 ext4 1920x1080 OpenBenchmarking.org - Transparent Huge Pages: madvise - --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v - Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0xa201009 - Python 3.8.5 - 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
aoruspro_5950x_20210414 numenta-nab: EXPoSE mlpack: scikit_linearridgeregression numpy: mlpack: scikit_qda pyperformance: python_startup numenta-nab: Earthgecko Skyline pyperformance: raytrace pyperformance: 2to3 pyperformance: go pyperformance: chaos mlpack: scikit_ica pyperformance: django_template pyperformance: crypto_pyaes pyperformance: float pyperformance: nbody pyperformance: regex_compile pyperformance: pathlib numenta-nab: Bayesian Changepoint pyperformance: pickle_pure_python pyperformance: json_loads mlpack: scikit_svm pybench: Total For Average Test Times cython-bench: N-Queens numenta-nab: Relative Entropy scikit-learn: numenta-nab: Windowed Gaussian 202104142227 174.745 1.98 507.14 99.37 6.74 84.650 414 252 207 97.2 33.13 40.3 90.0 87.0 102 142 14.7 23.487 376 20.8 16.78 834 17.633 12.288 6.415 6.297 OpenBenchmarking.org
Numenta Anomaly Benchmark Detector: EXPoSE OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: EXPoSE 202104142227 40 80 120 160 200 SE +/- 3.14, N = 12 174.75
Mlpack Benchmark Benchmark: scikit_linearridgeregression OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_linearridgeregression 202104142227 0.4455 0.891 1.3365 1.782 2.2275 SE +/- 0.03, N = 15 1.98
Numpy Benchmark OpenBenchmarking.org Score, More Is Better Numpy Benchmark 202104142227 110 220 330 440 550 SE +/- 2.75, N = 3 507.14
Mlpack Benchmark Benchmark: scikit_qda OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_qda 202104142227 20 40 60 80 100 SE +/- 0.03, N = 3 99.37
PyPerformance Benchmark: python_startup OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: python_startup 202104142227 2 4 6 8 10 SE +/- 0.06, N = 3 6.74
Numenta Anomaly Benchmark Detector: Earthgecko Skyline OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Earthgecko Skyline 202104142227 20 40 60 80 100 SE +/- 1.06, N = 3 84.65
PyPerformance Benchmark: raytrace OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: raytrace 202104142227 90 180 270 360 450 SE +/- 0.67, N = 3 414
PyPerformance Benchmark: 2to3 OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: 2to3 202104142227 60 120 180 240 300 252
PyPerformance Benchmark: go OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: go 202104142227 50 100 150 200 250 207
PyPerformance Benchmark: chaos OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: chaos 202104142227 20 40 60 80 100 SE +/- 0.30, N = 3 97.2
Mlpack Benchmark Benchmark: scikit_ica OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_ica 202104142227 8 16 24 32 40 SE +/- 0.27, N = 3 33.13
PyPerformance Benchmark: django_template OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: django_template 202104142227 9 18 27 36 45 SE +/- 0.07, N = 3 40.3
PyPerformance Benchmark: crypto_pyaes OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: crypto_pyaes 202104142227 20 40 60 80 100 SE +/- 0.19, N = 3 90.0
PyPerformance Benchmark: float OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: float 202104142227 20 40 60 80 100 SE +/- 0.07, N = 3 87.0
PyPerformance Benchmark: nbody OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: nbody 202104142227 20 40 60 80 100 SE +/- 0.67, N = 3 102
PyPerformance Benchmark: regex_compile OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: regex_compile 202104142227 30 60 90 120 150 142
PyPerformance Benchmark: pathlib OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pathlib 202104142227 4 8 12 16 20 SE +/- 0.00, N = 3 14.7
Numenta Anomaly Benchmark Detector: Bayesian Changepoint OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Bayesian Changepoint 202104142227 6 12 18 24 30 SE +/- 0.04, N = 3 23.49
PyPerformance Benchmark: pickle_pure_python OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pickle_pure_python 202104142227 80 160 240 320 400 376
PyPerformance Benchmark: json_loads OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: json_loads 202104142227 5 10 15 20 25 SE +/- 0.07, N = 3 20.8
Mlpack Benchmark Benchmark: scikit_svm OpenBenchmarking.org Seconds, Fewer Is Better Mlpack Benchmark Benchmark: scikit_svm 202104142227 4 8 12 16 20 SE +/- 0.02, N = 3 16.78
PyBench Total For Average Test Times OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times 202104142227 200 400 600 800 1000 SE +/- 7.77, N = 3 834
Cython Benchmark Test: N-Queens OpenBenchmarking.org Seconds, Fewer Is Better Cython Benchmark 0.29.21 Test: N-Queens 202104142227 4 8 12 16 20 SE +/- 0.06, N = 3 17.63
Numenta Anomaly Benchmark Detector: Relative Entropy OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Relative Entropy 202104142227 3 6 9 12 15 SE +/- 0.04, N = 3 12.29
Scikit-Learn OpenBenchmarking.org Seconds, Fewer Is Better Scikit-Learn 0.22.1 202104142227 2 4 6 8 10 SE +/- 0.048, N = 3 6.415
Numenta Anomaly Benchmark Detector: Windowed Gaussian OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Windowed Gaussian 202104142227 2 4 6 8 10 SE +/- 0.048, N = 3 6.297
Phoronix Test Suite v10.8.4