python-run Intel Core i9-11900H testing with a ASUS FX506HM v1.0 (FX506HM.312 BIOS) and ASUS Intel UHD TGL GT1 23GB on Clear Linux OS 36750 via the Phoronix Test Suite.
HTML result view exported from: https://openbenchmarking.org/result/2208064-SILE-PYTHONR61&grs .
python-run Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server OpenGL Compiler File-System Screen Resolution Intel Core i9-11900H Intel Core i9-11900H @ 4.80GHz (8 Cores / 16 Threads) ASUS FX506HM v1.0 (FX506HM.312 BIOS) Intel Tiger Lake-H 24GB 1024GB HFM001TD3JX013N ASUS Intel UHD TGL GT1 23GB (1450MHz) Realtek ALC256 Realtek RTL8111/8168/8411 + Intel Wi-Fi 6 AX210/AX211/AX411 Clear Linux OS 36750 5.18.16-1165.native (x86_64) GNOME Shell 42.3.1 X Server 1.21.1.3 + Wayland 4.6 Mesa 22.1.4 GCC 12.1.1 20220803 releases/gcc-12.1.0-322-g3df2f03587 + Clang 14.0.6 + LLVM 14.0.6 ext4 1920x1080 OpenBenchmarking.org - Transparent Huge Pages: always - FFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -malign-data=abi -fno-semantic-interposition -ftree-vectorize -ftree-loop-vectorize -Wl,--enable-new-dtags" CXXFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -Wformat -Wformat-security -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -fno-semantic-interposition -ffat-lto-objects -fno-trapping-math -Wl,-sort-common -Wl,--enable-new-dtags -mtune=skylake -mrelax-cmpxchg-loop -fvisibility-inlines-hidden -Wl,--enable-new-dtags" MESA_GLSL_CACHE_DISABLE=0 FCFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -malign-data=abi -fno-semantic-interposition -ftree-vectorize -ftree-loop-vectorize -Wl,-sort-common -Wl,--enable-new-dtags" NVM_CD_FLAGS= CFLAGS="-g -O3 -feliminate-unused-debug-types -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -Wformat -Wformat-security -m64 -fasynchronous-unwind-tables -Wp,-D_REENTRANT -ftree-loop-distribute-patterns -Wl,-z -Wl,now -Wl,-z -Wl,relro -fno-semantic-interposition -ffat-lto-objects -fno-trapping-math -Wl,-sort-common -Wl,--enable-new-dtags -mtune=skylake -mrelax-cmpxchg-loop" THEANO_FLAGS="floatX=float32,openmp=true,gcc.cxxflags="-ftree-vectorize -mavx"" - Scaling Governor: intel_pstate performance (EPP: performance) - Platform Profile: balanced - CPU Microcode: 0x3e - Thermald 2.5.0 - ACPI Profile: balanced - Python 3.10.6 - itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected
python-run pyhpc: CPU - Numpy - 4194304 - Isoneutral Mixing pyhpc: CPU - Numpy - 4194304 - Equation of State pyhpc: CPU - Numpy - 1048576 - Isoneutral Mixing pyhpc: CPU - Numpy - 1048576 - Equation of State pyhpc: CPU - Numpy - 262144 - Isoneutral Mixing pyhpc: CPU - Numpy - 262144 - Equation of State pyhpc: CPU - Numpy - 65536 - Isoneutral Mixing pyhpc: CPU - Numpy - 65536 - Equation of State pyhpc: CPU - Numpy - 16384 - Isoneutral Mixing pyhpc: CPU - Numpy - 16384 - Equation of State numenta-nab: Bayesian Changepoint numenta-nab: Earthgecko Skyline numenta-nab: Windowed Gaussian numenta-nab: Relative Entropy pyperformance: pickle_pure_python pyperformance: django_template pyperformance: python_startup pyperformance: regex_compile pyperformance: crypto_pyaes pyperformance: json_loads pyperformance: raytrace pyperformance: pathlib pyperformance: nbody pyperformance: float pyperformance: chaos pyperformance: 2to3 pyperformance: go pybench: Total For Average Test Times cython-bench: N-Queens numpy: numenta-nab: EXPoSE Intel Core i9-11900H 1.876 1.539 0.401 0.278 0.090 0.063 0.022 0.015 0.005 0.002 34.408 137.018 13.180 22.659 401 39.6 6.81 147 99.7 21.1 412 14.1 122 92.0 91.7 266 197 936 22.230 546.73 OpenBenchmarking.org
PyHPC Benchmarks Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing OpenBenchmarking.org Seconds, Fewer Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Isoneutral Mixing Intel Core i9-11900H 0.4221 0.8442 1.2663 1.6884 2.1105 SE +/- 0.008, N = 3 1.876
PyHPC Benchmarks Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State OpenBenchmarking.org Seconds, Fewer Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Numpy - Project Size: 4194304 - Benchmark: Equation of State Intel Core i9-11900H 0.3463 0.6926 1.0389 1.3852 1.7315 SE +/- 0.002, N = 3 1.539
PyHPC Benchmarks Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Isoneutral Mixing OpenBenchmarking.org Seconds, Fewer Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Isoneutral Mixing Intel Core i9-11900H 0.0902 0.1804 0.2706 0.3608 0.451 SE +/- 0.005, N = 3 0.401
PyHPC Benchmarks Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Equation of State OpenBenchmarking.org Seconds, Fewer Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Numpy - Project Size: 1048576 - Benchmark: Equation of State Intel Core i9-11900H 0.0626 0.1252 0.1878 0.2504 0.313 SE +/- 0.002, N = 3 0.278
PyHPC Benchmarks Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Isoneutral Mixing OpenBenchmarking.org Seconds, Fewer Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Isoneutral Mixing Intel Core i9-11900H 0.0203 0.0406 0.0609 0.0812 0.1015 SE +/- 0.001, N = 13 0.090
PyHPC Benchmarks Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Equation of State OpenBenchmarking.org Seconds, Fewer Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Numpy - Project Size: 262144 - Benchmark: Equation of State Intel Core i9-11900H 0.0142 0.0284 0.0426 0.0568 0.071 SE +/- 0.000, N = 3 0.063
PyHPC Benchmarks Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Isoneutral Mixing OpenBenchmarking.org Seconds, Fewer Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Isoneutral Mixing Intel Core i9-11900H 0.005 0.01 0.015 0.02 0.025 SE +/- 0.000, N = 15 0.022
PyHPC Benchmarks Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Equation of State OpenBenchmarking.org Seconds, Fewer Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Numpy - Project Size: 65536 - Benchmark: Equation of State Intel Core i9-11900H 0.0034 0.0068 0.0102 0.0136 0.017 SE +/- 0.000, N = 14 0.015
PyHPC Benchmarks Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Isoneutral Mixing OpenBenchmarking.org Seconds, Fewer Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Isoneutral Mixing Intel Core i9-11900H 0.0011 0.0022 0.0033 0.0044 0.0055 SE +/- 0.000, N = 3 0.005
PyHPC Benchmarks Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Equation of State OpenBenchmarking.org Seconds, Fewer Is Better PyHPC Benchmarks 3.0 Device: CPU - Backend: Numpy - Project Size: 16384 - Benchmark: Equation of State Intel Core i9-11900H 0.0005 0.001 0.0015 0.002 0.0025 SE +/- 0.000, N = 3 0.002
Numenta Anomaly Benchmark Detector: Bayesian Changepoint OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Bayesian Changepoint Intel Core i9-11900H 8 16 24 32 40 SE +/- 0.30, N = 7 34.41
Numenta Anomaly Benchmark Detector: Earthgecko Skyline OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Earthgecko Skyline Intel Core i9-11900H 30 60 90 120 150 SE +/- 2.23, N = 12 137.02
Numenta Anomaly Benchmark Detector: Windowed Gaussian OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Windowed Gaussian Intel Core i9-11900H 3 6 9 12 15 SE +/- 0.11, N = 3 13.18
Numenta Anomaly Benchmark Detector: Relative Entropy OpenBenchmarking.org Seconds, Fewer Is Better Numenta Anomaly Benchmark 1.1 Detector: Relative Entropy Intel Core i9-11900H 5 10 15 20 25 SE +/- 0.16, N = 3 22.66
PyPerformance Benchmark: pickle_pure_python OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pickle_pure_python Intel Core i9-11900H 90 180 270 360 450 SE +/- 0.58, N = 3 401
PyPerformance Benchmark: django_template OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: django_template Intel Core i9-11900H 9 18 27 36 45 SE +/- 0.12, N = 3 39.6
PyPerformance Benchmark: python_startup OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: python_startup Intel Core i9-11900H 2 4 6 8 10 SE +/- 0.02, N = 3 6.81
PyPerformance Benchmark: regex_compile OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: regex_compile Intel Core i9-11900H 30 60 90 120 150 SE +/- 1.00, N = 3 147
PyPerformance Benchmark: crypto_pyaes OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: crypto_pyaes Intel Core i9-11900H 20 40 60 80 100 SE +/- 0.21, N = 3 99.7
PyPerformance Benchmark: json_loads OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: json_loads Intel Core i9-11900H 5 10 15 20 25 SE +/- 0.07, N = 3 21.1
PyPerformance Benchmark: raytrace OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: raytrace Intel Core i9-11900H 90 180 270 360 450 SE +/- 1.73, N = 3 412
PyPerformance Benchmark: pathlib OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: pathlib Intel Core i9-11900H 4 8 12 16 20 SE +/- 0.00, N = 3 14.1
PyPerformance Benchmark: nbody OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: nbody Intel Core i9-11900H 30 60 90 120 150 SE +/- 0.88, N = 3 122
PyPerformance Benchmark: float OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: float Intel Core i9-11900H 20 40 60 80 100 SE +/- 0.40, N = 3 92.0
PyPerformance Benchmark: chaos OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: chaos Intel Core i9-11900H 20 40 60 80 100 SE +/- 0.09, N = 3 91.7
PyPerformance Benchmark: 2to3 OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: 2to3 Intel Core i9-11900H 60 120 180 240 300 SE +/- 0.67, N = 3 266
PyPerformance Benchmark: go OpenBenchmarking.org Milliseconds, Fewer Is Better PyPerformance 1.0.0 Benchmark: go Intel Core i9-11900H 40 80 120 160 200 SE +/- 0.58, N = 3 197
PyBench Total For Average Test Times OpenBenchmarking.org Milliseconds, Fewer Is Better PyBench 2018-02-16 Total For Average Test Times Intel Core i9-11900H 200 400 600 800 1000 SE +/- 12.02, N = 3 936
Cython Benchmark Test: N-Queens OpenBenchmarking.org Seconds, Fewer Is Better Cython Benchmark 0.29.21 Test: N-Queens Intel Core i9-11900H 5 10 15 20 25 SE +/- 0.18, N = 14 22.23
Numpy Benchmark OpenBenchmarking.org Score, More Is Better Numpy Benchmark Intel Core i9-11900H 120 240 360 480 600 SE +/- 4.55, N = 3 546.73
Phoronix Test Suite v10.8.4