xmas

AMD Ryzen 7 4800U testing with a ASRock 4X4-4000 (P1.30Q BIOS) and AMD Renoir 512MB 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 2212246-NE-XMAS4840981
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xmasOpenBenchmarking.orgPhoronix Test SuiteAMD Ryzen 7 4800U @ 1.80GHz (8 Cores / 16 Threads)ASRock 4X4-4000 (P1.30Q BIOS)AMD Renoir/Cezanne16GB512GB TS512GMTS952T-IAMD Renoir 512MB (1750/400MHz)AMD Renoir Radeon HD AudioDELL P2415QRealtek RTL8125 2.5GbE + Realtek RTL8111/8168/8411 + Intel 8265 / 8275Ubuntu 22.045.19.0-rc6-phx-retbleed (x86_64)GNOME Shell 42.2X Server + Wayland4.6 Mesa 22.0.1 (LLVM 13.0.1 DRM 3.47)1.3.204GCC 11.2.0ext43840x2160ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionXmas PerformanceSystem 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-gBFGDP/gcc-11-11.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-gBFGDP/gcc-11-11.2.0/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: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8600103- Python 3.10.4- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + mmio_stale_data: Not affected + retbleed: Mitigation of untrained return thunk; SMT enabled with STIBP protection + spec_store_bypass: Mitigation of SSB disabled via prctl + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Retpolines IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

abcdResult OverviewPhoronix Test Suite100%108%115%123%130%BlenderOpenVINOStargate Digital Audio Workstationrav1eNumenta Anomaly BenchmarknekRSScikit-LearnStreamTimed Linux Kernel CompilationSVT-AV1CockroachDBOpenVKL

xmasscikit-learn: Sparse Rand Projections, 100 Iterationsnekrs: TurboPipe Periodicopenvkl: vklBenchmark Scalaropenvkl: vklBenchmark ISPCstargate: 192000 - 512stargate: 192000 - 1024numenta-nab: KNN CADnumenta-nab: Earthgecko Skylinestargate: 96000 - 512scikit-learn: MNIST Datasetblender: BMW27 - CPU-Onlybuild-linux-kernel: defconfigstargate: 96000 - 1024stargate: 480000 - 512stargate: 44100 - 512scikit-learn: TSNE MNIST Datasetsvt-av1: Preset 4 - Bosphorus 4Kcockroach: KV, 10% Reads - 1024cockroach: KV, 60% Reads - 1024cockroach: KV, 95% Reads - 1024cockroach: KV, 50% Reads - 1024cockroach: KV, 10% Reads - 512cockroach: KV, 60% Reads - 512cockroach: KV, 50% Reads - 512cockroach: KV, 95% Reads - 512cockroach: KV, 10% Reads - 256cockroach: KV, 60% Reads - 256cockroach: KV, 50% Reads - 256cockroach: KV, 95% Reads - 256cockroach: KV, 50% Reads - 128cockroach: KV, 10% Reads - 128cockroach: KV, 60% Reads - 128cockroach: KV, 95% Reads - 128stargate: 480000 - 1024stargate: 44100 - 1024cockroach: MoVR - 256cockroach: MoVR - 512cockroach: MoVR - 1024cockroach: MoVR - 128numenta-nab: Contextual Anomaly Detector OSEnumenta-nab: Bayesian Changepointstream: Copyopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUrav1e: 1svt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 1080prav1e: 5numenta-nab: Relative Entropyrav1e: 6rav1e: 10numenta-nab: Windowed Gaussiansvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 1080psvt-av1: Preset 13 - Bosphorus 1080pstream: Addstream: Triadstream: Scaleabcd2250.1351501530000047750.4311620.566878272.419254.5880.68377224.236182.86187.9270.9478431.0564911.11292126.5851.36612347.613962.316164.813566.112897.414483.714181.617166.913098.414842.714496.717664.214622.212263.515192.918048.71.5131411.587045178.3177.8177.7177.495.14891.03713090.14320.830.914292.10.922615.841.531694.272.36296.5713.4624.06165.9625.78154.8123.67168.7157.2669.7835.46225.282.553068.252.792818.350.48116.8834.5982.06626.0572.8275.02516.91442.11846.3951.063173.142199.76810157.110163.19362.92255.9441519070000047750.4311750.556357289.521252.3820.677597228.544234.64186.1960.9286241.0483911.105582128.6011.36112396.313909.716139.213494.112890.214477.114148.317230.413131.914799.914451.117648.414543.112307.915175.318143.81.4887431.560846177.2177.4177.8176.692.94692.094133704526.230.874622.80.862782.211.441920.142.08306.513.0324.3164.3627.84143.4425.48156.7654.9472.6738.29208.662.613000.992.792813.990.48617.0584.5512.04626.6882.8185.19217.35143.25945.91950.012173.009202.4741026010266.99427.62255.8971509880000047750.4250020.553981286.708255.0210.68641225.839234.45186.8770.9306081.0798821.090057127.3971.35912311.413860.216157.613526.812847.214493.41407517252.413122.714825.514495.917610.314646.312229.615115.618003.71.5381411.570926177.4177.3176.3177.492.67791.54113341.64537.550.874561.670.862773.381.441912.862.09296.6513.4623.72168.3527.56144.8725.31157.795572.5938.21209.092.632971.362.852758.540.45317.0684.5762.0627.912.7795.20217.15840.78746.67849.906173.437201.72710243.410240.39399.62236.0791529590000047750.3867460.56439287.741256.4070.685712228.067238.07188.3550.9111660.9685491.10292127.5831.37712324.713933.716019.913431.512899.414526.314094.417282.813097.314841.214534.917581.914639.112274.215108.317975.71.5090221.423599177.8176.3176.2176.890.80392.39613366.64577.380.864607.740.862808.071.421931.532.07305.5313.0824.13165.4528.24141.3825.66155.754.0973.838.51207.472.642966.812.812790.970.49917.0524.6242.07728.0262.8185.17817.55643.02246.85849.732174.236200.24910257.7102509397.6OpenBenchmarking.org

Scikit-Learn

Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.1.3Benchmark: Sparse Random Projections, 100 Iterationsbcad50010001500200025002255.942255.902250.142236.08

nekRS

nekRS is an open-source Navier Stokes solver based on the spectral element method. NekRS supports both CPU and GPU/accelerator support though this test profile is currently configured for CPU execution. NekRS is part of Nek5000 of the Mathematics and Computer Science MCS at Argonne National Laboratory. This nekRS benchmark is primarily relevant to large core count HPC servers and otherwise may be very time consuming. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFLOP/s, More Is BetternekRS 22.0Input: TurboPipe Periodicacbd3000M6000M9000M12000M15000M150153000001509880000015190700000152959000001. (CXX) g++ options: -fopenmp -O2 -march=native -mtune=native -ftree-vectorize -lmpi_cxx -lmpi

OpenVKL

OpenVKL is the Intel Open Volume Kernel Library that offers high-performance volume computation kernels and part of the Intel oneAPI rendering toolkit. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark Scalarabcd112233445547474747MIN: 4 / MAX: 991MIN: 4 / MAX: 980MIN: 4 / MAX: 985MIN: 4 / MAX: 976

OpenBenchmarking.orgItems / Sec, More Is BetterOpenVKL 1.3.1Benchmark: vklBenchmark ISPCabcd2040608010075757575MIN: 9 / MAX: 1058MIN: 9 / MAX: 1055MIN: 9 / MAX: 1060MIN: 9 / MAX: 1062

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 22.11.5Sample Rate: 192000 - Buffer Size: 512dcab0.0970.1940.2910.3880.4850.3867460.4250020.4311620.4311751. (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 22.11.5Sample Rate: 192000 - Buffer Size: 1024cbda0.12750.2550.38250.510.63750.5539810.5563570.5643900.5668781. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

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 time-series 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.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: KNN CADbdca60120180240300289.52287.74286.71272.42

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Earthgecko Skylinedcab60120180240300256.41255.02254.59252.38

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 22.11.5Sample Rate: 96000 - Buffer Size: 512badc0.15440.30880.46320.61760.7720.6775970.6837700.6857120.6864101. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

Scikit-Learn

Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.1.3Benchmark: MNIST Datasetbdca50100150200250228.54228.07225.84224.24

Blender

Blender is an open-source 3D creation and modeling software project. This test is of Blender's Cycles performance with various sample files. GPU computing via NVIDIA OptiX and NVIDIA CUDA is currently supported as well as HIP for AMD Radeon GPUs and Intel oneAPI for Intel Graphics. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.4Blend File: BMW27 - Compute: CPU-Onlydbca50100150200250238.07234.64234.45182.86

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration (defconfig) for the architecture being tested or alternatively an allmodconfig for building all possible kernel modules for the build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 6.1Build: defconfigdacb4080120160200188.36187.93186.88186.20

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 22.11.5Sample Rate: 96000 - Buffer Size: 1024dbca0.21330.42660.63990.85321.06650.9111660.9286240.9306080.9478431. (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 22.11.5Sample Rate: 480000 - Buffer Size: 512dbac0.2430.4860.7290.9721.2150.9685491.0483911.0564911.0798821. (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 22.11.5Sample Rate: 44100 - Buffer Size: 512cdba0.25040.50080.75121.00161.2521.0900571.1029201.1055821.1129201. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

Scikit-Learn

Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 1.1.3Benchmark: TSNE MNIST Datasetbdca306090120150128.60127.58127.40126.59

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 4Kcbad0.30980.61960.92941.23921.5491.3591.3611.3661.3771. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 1024cdab3K6K9K12K15K12311.412324.712347.612396.3

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 1024cbda3K6K9K12K15K13860.213909.713933.713962.3

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 1024dbca3K6K9K12K15K16019.916139.216157.616164.8

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 1024dbca3K6K9K12K15K13431.513494.113526.813566.1

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 512cbad3K6K9K12K15K12847.212890.212897.412899.4

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 512bacd3K6K9K12K15K14477.114483.714493.414526.3

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 512cdba3K6K9K12K15K14075.014094.414148.314181.6

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 512abcd4K8K12K16K20K17166.917230.417252.417282.8

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 256dacb3K6K9K12K15K13097.313098.413122.713131.9

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 256bcda3K6K9K12K15K14799.914825.514841.214842.7

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 256bcad3K6K9K12K15K14451.114495.914496.714534.9

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 256dcba4K8K12K16K20K17581.917610.317648.417664.2

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 50% Reads - Concurrency: 128badc3K6K9K12K15K14543.114622.214639.114646.3

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 10% Reads - Concurrency: 128cadb3K6K9K12K15K12229.612263.512274.212307.9

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 60% Reads - Concurrency: 128dcba3K6K9K12K15K15108.315115.615175.315192.9

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: KV, 95% Reads - Concurrency: 128dcab4K8K12K16K20K17975.718003.718048.718143.8

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 22.11.5Sample Rate: 480000 - Buffer Size: 1024bdac0.34610.69221.03831.38441.73051.4887431.5090221.5131411.5381411. (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 22.11.5Sample Rate: 44100 - Buffer Size: 1024dbca0.35710.71421.07131.42841.78551.4235991.5608461.5709261.5870451. (CXX) g++ options: -lpthread -lsndfile -lm -O3 -march=native -ffast-math -funroll-loops -fstrength-reduce -fstrict-aliasing -finline-functions

CockroachDB

CockroachDB is a cloud-native, distributed SQL database for data intensive applications. This test profile uses a server-less CockroachDB configuration to test various Coackroach workloads on the local host with a single node. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 256bcda4080120160200177.2177.4177.8178.3

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 512dcba4080120160200176.3177.3177.4177.8

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 1024dcab4080120160200176.2176.3177.7177.8

OpenBenchmarking.orgops/s, More Is BetterCockroachDB 22.2Workload: MoVR - Concurrency: 128bdac4080120160200176.6176.8177.4177.4

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 time-series 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.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Contextual Anomaly Detector OSEabcd2040608010095.1592.9592.6890.80

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Bayesian Changepointdbca2040608010092.4092.0991.5491.04

Stream

This is a benchmark of Stream, the popular system memory (RAM) benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: Copyacdb3K6K9K12K15K13090.113341.613366.613370.01. (CC) gcc options: -O3 -march=native -fopenmp

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUdcba100020003000400050004577.384537.554526.234320.83MIN: 3914.44 / MAX: 5163.57MIN: 3879.88 / MAX: 5085.11MIN: 3817.62 / MAX: 5076.44MIN: 3480.88 / MAX: 4950.441. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP16 - Device: CPUdbca0.20480.40960.61440.81921.0240.860.870.870.911. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUbdca100020003000400050004622.804607.744561.674292.10MIN: 4017.59 / MAX: 5026.89MIN: 3984.63 / MAX: 5149.67MIN: 3850.18 / MAX: 5206.92MIN: 3381.99 / MAX: 4910.71. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Detection FP32 - Device: CPUbcda0.2070.4140.6210.8281.0350.860.860.860.921. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUdbca60012001800240030002808.072782.212773.382615.84MIN: 2765.6 / MAX: 2920.56MIN: 2712.57 / MAX: 2932.01MIN: 2720.19 / MAX: 2871.38MIN: 2519.42 / MAX: 2801.971. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16 - Device: CPUdbca0.34430.68861.03291.37721.72151.421.441.441.531. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUdbca4008001200160020001931.531920.141912.861694.27MIN: 1871.75 / MAX: 1947.35MIN: 1882.96 / MAX: 1959.99MIN: 1885.34 / MAX: 1929.81MIN: 1650.15 / MAX: 1736.531. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Face Detection FP16-INT8 - Device: CPUdbca0.5311.0621.5932.1242.6552.072.082.092.361. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUbdca70140210280350306.50305.53296.65296.57MIN: 235.61 / MAX: 338.59MIN: 264.14 / MAX: 329.3MIN: 221.32 / MAX: 319.28MIN: 174.62 / MAX: 326.751. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Machine Translation EN To DE FP16 - Device: CPUbdac369121513.0313.0813.4613.461. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUbdac61218243024.3024.1324.0623.72MIN: 18.12 / MAX: 43.29MIN: 16.55 / MAX: 43.52MIN: 17.79 / MAX: 43.66MIN: 19.61 / MAX: 40.071. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Person Vehicle Bike Detection FP16 - Device: CPUbdac4080120160200164.36165.45165.96168.351. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUdbca71421283528.2427.8427.5625.78MIN: 21.83 / MAX: 61.39MIN: 21.1 / MAX: 57.58MIN: 21.16 / MAX: 59.93MIN: 21.86 / MAX: 52.871. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16-INT8 - Device: CPUdbca306090120150141.38143.44144.87154.811. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUdbca61218243025.6625.4825.3123.67MIN: 21.57 / MAX: 52.7MIN: 22.37 / MAX: 49.14MIN: 22.78 / MAX: 49.59MIN: 21.84 / MAX: 47.191. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16 - Device: CPUdbca4080120160200155.70156.76157.79168.711. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUacbd132639526557.2655.0054.9454.09MIN: 45.78 / MAX: 74.7MIN: 30.85 / MAX: 83.99MIN: 44.71 / MAX: 75.69MIN: 43.21 / MAX: 74.741. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Vehicle Detection FP16 - Device: CPUacbd163248648069.7872.5972.6773.801. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUdbca91827364538.5138.2938.2135.46MIN: 32.73 / MAX: 71.32MIN: 31.79 / MAX: 73.55MIN: 32.91 / MAX: 77.08MIN: 29.6 / MAX: 69.791. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Weld Porosity Detection FP16-INT8 - Device: CPUdbca50100150200250207.47208.66209.09225.281. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUdcba0.5941.1881.7822.3762.972.642.632.612.55MIN: 1.68 / MAX: 24.19MIN: 1.66 / MAX: 26.18MIN: 1.67 / MAX: 28.29MIN: 1.86 / MAX: 6.171. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUdcba70014002100280035002966.812971.363000.993068.251. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUcdba0.64131.28261.92392.56523.20652.852.812.792.79MIN: 1.82 / MAX: 7.82MIN: 1.7 / MAX: 24.75MIN: 1.74 / MAX: 24.89MIN: 1.8 / MAX: 25.061. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.3Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUcdba60012001800240030002758.542790.972813.992818.351. (CXX) g++ options: -fPIC -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -shared

rav1e

Xiph rav1e is a Rust-written AV1 video encoder that claims to be the fastest and safest AV1 encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.6.1Speed: 1cabd0.11230.22460.33690.44920.56150.4530.4810.4860.499

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 4Kadbc4812162016.8817.0517.0617.071. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 4 - Input: Bosphorus 1080pbcad1.04042.08083.12124.16165.2024.5514.5764.5984.6241. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

rav1e

Xiph rav1e is a Rust-written AV1 video encoder that claims to be the fastest and safest AV1 encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.6.1Speed: 5bcad0.46730.93461.40191.86922.33652.0462.0602.0662.077

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 time-series 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.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Relative Entropydcba71421283528.0327.9126.6926.06

rav1e

Xiph rav1e is a Rust-written AV1 video encoder that claims to be the fastest and safest AV1 encoder. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.6.1Speed: 6cbda0.63611.27221.90832.54443.18052.7792.8182.8182.827

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.6.1Speed: 10adbc1.17052.3413.51154.6825.85255.0255.1785.1925.202

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 time-series 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.

OpenBenchmarking.orgSeconds, Fewer Is BetterNumenta Anomaly Benchmark 1.1Detector: Windowed Gaussiandbca4812162017.5617.3517.1616.91

SVT-AV1

This is a benchmark of the SVT-AV1 open-source video encoder/decoder. SVT-AV1 was originally developed by Intel as part of their Open Visual Cloud / Scalable Video Technology (SVT). Development of SVT-AV1 has since moved to the Alliance for Open Media as part of upstream AV1 development. SVT-AV1 is a CPU-based multi-threaded video encoder for the AV1 video format with a sample YUV video file. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 4Kcadb102030405040.7942.1243.0243.261. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 8 - Input: Bosphorus 1080pbacd112233445545.9246.3946.6846.861. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 4Kdcba122436486049.7349.9150.0151.061. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 12 - Input: Bosphorus 1080pbacd4080120160200173.01173.14173.44174.241. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.4Encoder Mode: Preset 13 - Input: Bosphorus 1080padcb4080120160200199.77200.25201.73202.471. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

Stream

This is a benchmark of Stream, the popular system memory (RAM) benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: Addacdb2K4K6K8K10K10157.110243.410257.710260.01. (CC) gcc options: -O3 -march=native -fopenmp

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: Triadacdb2K4K6K8K10K10163.110240.310250.010266.91. (CC) gcc options: -O3 -march=native -fopenmp

OpenBenchmarking.orgMB/s, More Is BetterStream 2013-01-17Type: Scaleadcb2K4K6K8K10K9362.99397.69399.69427.61. (CC) gcc options: -O3 -march=native -fopenmp

82 Results Shown

Scikit-Learn
nekRS
OpenVKL:
  vklBenchmark Scalar
  vklBenchmark ISPC
Stargate Digital Audio Workstation:
  192000 - 512
  192000 - 1024
Numenta Anomaly Benchmark:
  KNN CAD
  Earthgecko Skyline
Stargate Digital Audio Workstation
Scikit-Learn
Blender
Timed Linux Kernel Compilation
Stargate Digital Audio Workstation:
  96000 - 1024
  480000 - 512
  44100 - 512
Scikit-Learn
SVT-AV1
CockroachDB:
  KV, 10% Reads - 1024
  KV, 60% Reads - 1024
  KV, 95% Reads - 1024
  KV, 50% Reads - 1024
  KV, 10% Reads - 512
  KV, 60% Reads - 512
  KV, 50% Reads - 512
  KV, 95% Reads - 512
  KV, 10% Reads - 256
  KV, 60% Reads - 256
  KV, 50% Reads - 256
  KV, 95% Reads - 256
  KV, 50% Reads - 128
  KV, 10% Reads - 128
  KV, 60% Reads - 128
  KV, 95% Reads - 128
Stargate Digital Audio Workstation:
  480000 - 1024
  44100 - 1024
CockroachDB:
  MoVR - 256
  MoVR - 512
  MoVR - 1024
  MoVR - 128
Numenta Anomaly Benchmark:
  Contextual Anomaly Detector OSE
  Bayesian Changepoint
Stream
OpenVINO:
  Person Detection FP16 - CPU:
    ms
    FPS
  Person Detection FP32 - CPU:
    ms
    FPS
  Face Detection FP16 - CPU:
    ms
    FPS
  Face Detection FP16-INT8 - CPU:
    ms
    FPS
  Machine Translation EN To DE FP16 - CPU:
    ms
    FPS
  Person Vehicle Bike Detection FP16 - CPU:
    ms
    FPS
  Vehicle Detection FP16-INT8 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16 - CPU:
    ms
    FPS
  Vehicle Detection FP16 - CPU:
    ms
    FPS
  Weld Porosity Detection FP16-INT8 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP16 - CPU:
    ms
    FPS
rav1e
SVT-AV1:
  Preset 8 - Bosphorus 4K
  Preset 4 - Bosphorus 1080p
rav1e
Numenta Anomaly Benchmark
rav1e:
  6
  10
Numenta Anomaly Benchmark
SVT-AV1:
  Preset 12 - Bosphorus 4K
  Preset 8 - Bosphorus 1080p
  Preset 13 - Bosphorus 4K
  Preset 12 - Bosphorus 1080p
  Preset 13 - Bosphorus 1080p
Stream:
  Add
  Triad
  Scale