pyperf AVIF

Intel Core i9-10980XE testing with a ASRock X299 Steel Legend (P1.30 BIOS) and NVIDIA NV132 11GB on Ubuntu 20.04 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 2006021-PTS-PYPERFAV09
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
Intel Core i9-10980XE
June 02 2020
  33 Minutes
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pyperf AVIFOpenBenchmarking.orgPhoronix Test SuiteIntel Core i9-10980XE @ 4.80GHz (18 Cores / 36 Threads)ASRock X299 Steel Legend (P1.30 BIOS)Intel Sky Lake-E DMI3 Registers32GBSamsung SSD 970 PRO 512GBNVIDIA NV132 11GBRealtek ALC1220ASUS MG28UIntel I219-V + Intel I211Ubuntu 20.045.4.0-31-generic (x86_64)GNOME Shell 3.36.1X Server 1.20.8modesetting 1.20.84.3 Mesa 20.0.4GCC 9.3.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionPyperf AVIF BenchmarksSystem Logs- --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,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: intel_pstate powersave - CPU Microcode: 0x500012c- Python 3.8.2- itlb_multihit: KVM: Mitigation of Split huge pages + 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 Enhanced IBRS IBPB: conditional RSB filling + tsx_async_abort: Mitigation of TSX disabled

pyperf AVIFpyperformance: pickle_pure_pythonpyperformance: django_templatepyperformance: python_startuppyperformance: regex_compilepyperformance: crypto_pyaespyperformance: json_loadspyperformance: raytracepyperformance: pathlibpyperformance: nbodypyperformance: floatpyperformance: chaospyperformance: 2to3pyperformance: goavifenc: 10avifenc: 8avifenc: 2avifenc: 0Intel Core i9-10980XE35338.414.613787.620.338215.010390.487.52871994.9145.05641.15169.948OpenBenchmarking.org

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: pickle_pure_pythonIntel Core i9-10980XE80160240320400353

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateIntel Core i9-10980XE918273645SE +/- 0.07, N = 338.4

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startupIntel Core i9-10980XE48121620SE +/- 0.23, N = 314.6

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compileIntel Core i9-10980XE306090120150137

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaesIntel Core i9-10980XE20406080100SE +/- 0.00, N = 387.6

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadsIntel Core i9-10980XE510152025SE +/- 0.06, N = 320.3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytraceIntel Core i9-10980XE80160240320400SE +/- 0.33, N = 3382

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibIntel Core i9-10980XE48121620SE +/- 0.03, N = 315.0

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodyIntel Core i9-10980XE20406080100103

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatIntel Core i9-10980XE20406080100SE +/- 0.00, N = 390.4

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaosIntel Core i9-10980XE20406080100SE +/- 0.07, N = 387.5

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3Intel Core i9-10980XE60120180240300SE +/- 0.67, N = 3287

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: goIntel Core i9-10980XE4080120160200199

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Intel Core i9-10980XE1.10572.21143.31714.42285.5285SE +/- 0.022, N = 34.9141. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Intel Core i9-10980XE1.13762.27523.41284.55045.688SE +/- 0.011, N = 35.0561. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Intel Core i9-10980XE918273645SE +/- 0.10, N = 341.151. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Intel Core i9-10980XE1632486480SE +/- 0.65, N = 369.951. (CXX) g++ options: -O3 -fPIC

17 Results Shown

PyPerformance:
  pickle_pure_python
  django_template
  python_startup
  regex_compile
  crypto_pyaes
  json_loads
  raytrace
  pathlib
  nbody
  float
  chaos
  2to3
  go
libavif avifenc:
  10
  8
  2
  0