2022-11-04

Intel Core i7-4790K testing with a ASRock H97 Anniversary (P1.10 BIOS) and eVGA NVIDIA NV136 6GB on Ubuntu 22.04 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 2211042-SSNS-202211090
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Audio Encoding 7 Tests
C/C++ Compiler Tests 2 Tests
CPU Massive 5 Tests
Creator Workloads 7 Tests
Encoding 7 Tests
HPC - High Performance Computing 3 Tests
Machine Learning 3 Tests
Programmer / Developer System Benchmarks 2 Tests
Python 6 Tests
Server CPU Tests 4 Tests
Single-Threaded 5 Tests

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audio-encoding
November 04 2022
  2 Hours, 14 Minutes
python
November 04 2022
  42 Minutes
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2022-11-04OpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-4790K @ 4.40GHz (4 Cores / 8 Threads)ASRock H97 Anniversary (P1.10 BIOS)Intel 4th Gen Core DRAM32GB1000GB Samsung SSD 870eVGA NVIDIA NV136 6GBIntel Xeon E3-1200 v3/4th27GL850Realtek RTL8111/8168/8411 + Broadcom BCM4360 802.11acUbuntu 22.045.15.0-52-generic (x86_64)GNOME Shell 42.5X Server 1.21.1.3nouveau4.3 Mesa 22.0.51.3.204GCC 11.3.0 + CUDA 11.5ext42560x1440ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution2022-11-04 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --enable-cet --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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-link-serialization=2 --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-xKiWfi/gcc-11-11.3.0/debian/tmp-gcn/usr --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-build-config=bootstrap-lto-lean --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_cpufreq schedutil - CPU Microcode: 0x28 - Thermald 2.4.9 - Python 3.10.6- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + mmio_stale_data: Not affected + retbleed: 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 Retpolines IBPB: conditional IBRS_FW STIBP: conditional RSB filling PBRSB-eIBRS: Not affected + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

2022-11-04cython-bench: N-Queensencode-flac: WAV To FLACencode-mp3: WAV To MP3mlpack: scikit_icanumpy: encode-ogg: WAV To Oggencode-opus: WAV To Opus Encodepybench: Total For Average Test Timespyperformance: gopyperformance: 2to3pyperformance: chaospyperformance: floatpyperformance: nbodypyperformance: pathlibpyperformance: raytracepyperformance: json_loadspyperformance: crypto_pyaespyperformance: regex_compilepyperformance: python_startuppyperformance: django_templatepyperformance: pickle_pure_pythonstargate: 44100 - 512stargate: 96000 - 512stargate: 192000 - 512stargate: 44100 - 1024stargate: 480000 - 512stargate: 96000 - 1024stargate: 192000 - 1024stargate: 480000 - 1024encode-wavpack: WAV To WavPackaudio-encodingpython25.92319.6358.80054.68325.5321.0318.017103821831596.810312518.244222.510416010.142.34011.2707550.9442310.6559641.3020311.2119170.9647200.6663081.26148213.72126.02054.99325.23103721831596.810312518.344222.610416010.142.1400OpenBenchmarking.org

Cython Benchmark

Cython provides a superset of Python that is geared to deliver C-like levels of performance. This test profile makes use of Cython's bundled benchmark tests and runs an N-Queens sample test as a simple benchmark to the system's Cython performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterCython Benchmark 0.29.21Test: N-Queenspythonaudio-encoding612182430SE +/- 0.18, N = 3SE +/- 0.13, N = 326.0225.92
OpenBenchmarking.orgSeconds, Fewer Is BetterCython Benchmark 0.29.21Test: N-Queenspythonaudio-encoding612182430Min: 25.78 / Avg: 26.02 / Max: 26.36Min: 25.76 / Avg: 25.92 / Max: 26.19

FLAC Audio Encoding

This test times how long it takes to encode a sample WAV file to FLAC audio format ten times using the --best preset settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.4WAV To FLACaudio-encoding510152025SE +/- 0.03, N = 519.641. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm

LAME MP3 Encoding

LAME is an MP3 encoder licensed under the LGPL. This test measures the time required to encode a WAV file to MP3 format. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3audio-encoding246810SE +/- 0.004, N = 38.8001. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lncurses -lm

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icapythonaudio-encoding1224364860SE +/- 0.44, N = 3SE +/- 0.19, N = 354.9954.68
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icapythonaudio-encoding1122334455Min: 54.43 / Avg: 54.99 / Max: 55.86Min: 54.47 / Avg: 54.68 / Max: 55.06

Monkey Audio Encoding

This test times how long it takes to encode a sample WAV file to Monkey's Audio APE format. Learn more via the OpenBenchmarking.org test page.

audio-encoding: The test run did not produce a result. The test run did not produce a result. The test run did not produce a result. The test run did not produce a result. The test run did not produce a result. E: ./encode-ape: 3: ./mac: not found

Numenta Anomaly Benchmark

Numenta Anomaly Benchmark (NAB) is a benchmark for evaluating algorithms for anomaly detection in streaming, real-time applications. It is comprised of over 50 labeled real-world and artificial timeseries data files plus a novel scoring mechanism designed for real-time applications. This test profile currently measures the time to run various detectors. Learn more via the OpenBenchmarking.org test page.

Detector: EXPoSE

audio-encoding: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

python: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

Detector: Relative Entropy

audio-encoding: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

python: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

Detector: Windowed Gaussian

audio-encoding: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

python: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

Detector: Earthgecko Skyline

audio-encoding: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

python: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

Detector: Bayesian Changepoint

audio-encoding: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

python: The test quit with a non-zero exit status. The test quit with a non-zero exit status. The test quit with a non-zero exit status. E: ModuleNotFoundError: No module named 'pandas'

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 Benchmarkpythonaudio-encoding70140210280350SE +/- 1.45, N = 3SE +/- 1.12, N = 3325.23325.53
OpenBenchmarking.orgScore, More Is BetterNumpy Benchmarkpythonaudio-encoding60120180240300Min: 322.34 / Avg: 325.23 / Max: 326.77Min: 323.31 / Avg: 325.53 / Max: 326.87

Ogg Audio Encoding

This test times how long it takes to encode a sample WAV file to Ogg format using the reference Xiph.org tools/libraries. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOgg Audio Encoding 1.3.4WAV To Oggaudio-encoding510152025SE +/- 0.03, N = 321.031. (CC) gcc options: -O2 -ffast-math -fsigned-char

Opus Codec Encoding

Opus is an open audio codec. Opus is a lossy audio compression format designed primarily for interactive real-time applications over the Internet. This test uses Opus-Tools and measures the time required to encode a WAV file to Opus. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encodeaudio-encoding246810SE +/- 0.014, N = 58.0171. (CXX) g++ options: -fvisibility=hidden -logg -lm

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 Timesaudio-encodingpython2004006008001000SE +/- 3.84, N = 3SE +/- 2.40, N = 310381037
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test Timesaudio-encodingpython2004006008001000Min: 1032 / Avg: 1037.67 / Max: 1045Min: 1034 / Avg: 1037.33 / Max: 1042

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: gopythonaudio-encoding50100150200250SE +/- 0.58, N = 3SE +/- 0.33, N = 3218218
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: gopythonaudio-encoding4080120160200Min: 217 / Avg: 218 / Max: 219Min: 218 / Avg: 218.33 / Max: 219

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3pythonaudio-encoding70140210280350SE +/- 0.00, N = 3SE +/- 0.00, N = 3315315
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: 2to3pythonaudio-encoding60120180240300Min: 315 / Avg: 315 / Max: 315Min: 315 / Avg: 315 / Max: 315

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaospythonaudio-encoding20406080100SE +/- 0.10, N = 3SE +/- 0.06, N = 396.896.8
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: chaospythonaudio-encoding20406080100Min: 96.6 / Avg: 96.8 / Max: 96.9Min: 96.7 / Avg: 96.8 / Max: 96.9

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatpythonaudio-encoding20406080100SE +/- 0.00, N = 3SE +/- 0.00, N = 3103103
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: floatpythonaudio-encoding20406080100Min: 103 / Avg: 103 / Max: 103Min: 103 / Avg: 103 / Max: 103

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodypythonaudio-encoding306090120150SE +/- 0.00, N = 3SE +/- 0.00, N = 3125125
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: nbodypythonaudio-encoding20406080100Min: 125 / Avg: 125 / Max: 125Min: 125 / Avg: 125 / Max: 125

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibpythonaudio-encoding510152025SE +/- 0.03, N = 3SE +/- 0.03, N = 318.318.2
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pathlibpythonaudio-encoding510152025Min: 18.2 / Avg: 18.27 / Max: 18.3Min: 18.2 / Avg: 18.23 / Max: 18.3

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytracepythonaudio-encoding100200300400500SE +/- 0.00, N = 3SE +/- 0.67, N = 3442442
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: raytracepythonaudio-encoding80160240320400Min: 442 / Avg: 442 / Max: 442Min: 441 / Avg: 442.33 / Max: 443

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadspythonaudio-encoding510152025SE +/- 0.03, N = 3SE +/- 0.00, N = 322.622.5
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: json_loadspythonaudio-encoding510152025Min: 22.5 / Avg: 22.57 / Max: 22.6Min: 22.5 / Avg: 22.5 / Max: 22.5

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaespythonaudio-encoding20406080100SE +/- 0.00, N = 3SE +/- 0.00, N = 3104104
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: crypto_pyaespythonaudio-encoding20406080100Min: 104 / Avg: 104 / Max: 104Min: 104 / Avg: 104 / Max: 104

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compilepythonaudio-encoding4080120160200SE +/- 0.00, N = 3SE +/- 0.33, N = 3160160
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: regex_compilepythonaudio-encoding306090120150Min: 160 / Avg: 160 / Max: 160Min: 160 / Avg: 160.33 / Max: 161

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startuppythonaudio-encoding3691215SE +/- 0.03, N = 3SE +/- 0.06, N = 310.110.1
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: python_startuppythonaudio-encoding3691215Min: 10 / Avg: 10.07 / Max: 10.1Min: 10 / Avg: 10.1 / Max: 10.2

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateaudio-encodingpython1020304050SE +/- 0.00, N = 3SE +/- 0.03, N = 342.342.1
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: django_templateaudio-encodingpython918273645Min: 42.3 / Avg: 42.3 / Max: 42.3Min: 42.1 / Avg: 42.13 / Max: 42.2

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonaudio-encodingpython90180270360450SE +/- 0.33, N = 3SE +/- 0.33, N = 3401400
OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyPerformance 1.0.0Benchmark: pickle_pure_pythonaudio-encodingpython70140210280350Min: 400 / Avg: 400.67 / Max: 401Min: 400 / Avg: 400.33 / Max: 401

Stargate Digital Audio Workstation

Stargate is an open-source, cross-platform digital audio workstation (DAW) software package with "a unique and carefully curated experience" with scalability from old systems up through modern multi-core systems. Stargate is GPLv3 licensed and makes use of Qt5 (PyQt5) for its user-interface. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 21.10.9Sample Rate: 44100 - Buffer Size: 512audio-encoding0.28590.57180.85771.14361.4295SE +/- 0.009245, N = 121.2707551. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 21.10.9Sample Rate: 96000 - Buffer Size: 512audio-encoding0.21250.4250.63750.851.0625SE +/- 0.005293, N = 30.9442311. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 21.10.9Sample Rate: 192000 - Buffer Size: 512audio-encoding0.14760.29520.44280.59040.738SE +/- 0.002365, N = 30.6559641. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 21.10.9Sample Rate: 44100 - Buffer Size: 1024audio-encoding0.2930.5860.8791.1721.465SE +/- 0.012670, N = 31.3020311. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 21.10.9Sample Rate: 480000 - Buffer Size: 512audio-encoding0.27270.54540.81811.09081.3635SE +/- 0.002985, N = 31.2119171. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 21.10.9Sample Rate: 96000 - Buffer Size: 1024audio-encoding0.21710.43420.65130.86841.0855SE +/- 0.002770, N = 30.9647201. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 21.10.9Sample Rate: 192000 - Buffer Size: 1024audio-encoding0.14990.29980.44970.59960.7495SE +/- 0.003053, N = 30.6663081. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

OpenBenchmarking.orgRender Ratio, More Is BetterStargate Digital Audio Workstation 21.10.9Sample Rate: 480000 - Buffer Size: 1024audio-encoding0.28380.56760.85141.13521.419SE +/- 0.011858, N = 31.2614821. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

WavPack Audio Encoding

This test times how long it takes to encode a sample WAV file to WavPack format with very high quality settings. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPackaudio-encoding48121620SE +/- 0.00, N = 513.721. (CXX) g++ options: -rdynamic