fdsdf

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 2210101-NE-FDSDF056044
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October 09 2022
  1 Day, 8 Hours, 33 Minutes
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October 10 2022
  7 Hours, 58 Minutes
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October 10 2022
  7 Hours, 56 Minutes
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fdsdfOpenBenchmarking.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 ResolutionFdsdf 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-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- BAR1 / Visible vRAM Size: 512 MB - vBIOS Version: 113-RENOIR-026- 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

ABCResult OverviewPhoronix Test Suite100%101%103%104%106%QuadRayClickHouseMobile Neural NetworkGraphicsMagickFLAC Audio EncodingAOM AV17-Zip CompressionWebP Image EncodeFacebook RocksDBUnvanquishedsrsRANTimed Erlang/OTP CompilationoneDNNC-BloscTimed PHP CompilationspaCySVT-AV1NCNNOpenFOAMTimed CPython CompilationTensorFlowOpenVINOWebP2 Image EncodeBlenderSMHasherBRL-CADTimed Wasmer CompilationY-CruncherTimed Node.js Compilation

fdsdfsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMquadray: 1 - 4Kquadray: 2 - 4Kquadray: 3 - 4Kquadray: 5 - 4Kquadray: 1 - 1080pquadray: 2 - 1080pquadray: 3 - 1080pquadray: 5 - 1080popenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUunvanquished: 1920 x 1080 - Highunvanquished: 1920 x 1200 - Highunvanquished: 2560 x 1440 - Highunvanquished: 3840 x 2160 - Highunvanquished: 1920 x 1080 - Ultraunvanquished: 1920 x 1200 - Ultraunvanquished: 2560 x 1440 - Ultraunvanquished: 3840 x 2160 - Ultraunvanquished: 1920 x 1080 - Mediumunvanquished: 1920 x 1200 - Mediumunvanquished: 2560 x 1440 - Mediumunvanquished: 3840 x 2160 - Mediumaom-av1: Speed 0 Two-Pass - Bosphorus 4Kaom-av1: Speed 4 Two-Pass - Bosphorus 4Kaom-av1: Speed 6 Realtime - Bosphorus 4Kaom-av1: Speed 6 Two-Pass - Bosphorus 4Kaom-av1: Speed 8 Realtime - Bosphorus 4Kaom-av1: Speed 9 Realtime - Bosphorus 4Kaom-av1: Speed 10 Realtime - Bosphorus 4Kaom-av1: Speed 0 Two-Pass - Bosphorus 1080paom-av1: Speed 4 Two-Pass - Bosphorus 1080paom-av1: Speed 6 Realtime - Bosphorus 1080paom-av1: Speed 6 Two-Pass - Bosphorus 1080paom-av1: Speed 8 Realtime - Bosphorus 1080paom-av1: Speed 9 Realtime - Bosphorus 1080paom-av1: Speed 10 Realtime - Bosphorus 1080psvt-av1: Preset 4 - Bosphorus 4Ksvt-av1: Preset 8 - Bosphorus 4Ksvt-av1: Preset 10 - Bosphorus 4Ksvt-av1: Preset 12 - Bosphorus 4Ksvt-av1: Preset 4 - Bosphorus 1080psvt-av1: Preset 8 - Bosphorus 1080psvt-av1: Preset 10 - Bosphorus 1080psvt-av1: Preset 12 - Bosphorus 1080ptensorflow: CPU - 16 - AlexNettensorflow: CPU - 32 - AlexNettensorflow: CPU - 16 - GoogLeNettensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 32 - GoogLeNettensorflow: CPU - 32 - ResNet-50graphics-magick: Swirlgraphics-magick: Rotategraphics-magick: Sharpengraphics-magick: Enhancedgraphics-magick: Resizinggraphics-magick: Noise-Gaussiangraphics-magick: HWB Color Spaceblosc: blosclz shuffleblosc: blosclz bitshufflesmhasher: wyhashsmhasher: SHA3-256smhasher: Spooky32smhasher: fasthash32smhasher: FarmHash128smhasher: t1ha2_atoncesmhasher: FarmHash32 x86_64 AVXsmhasher: t1ha0_aes_avx2 x86_64smhasher: MeowHash x86_64 AES-NIcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingwebp: Defaultwebp: Quality 100webp: Quality 100, Losslesswebp: Quality 100, Highest Compressionwebp2: Defaultwebp2: Quality 75, Compression Effort 7webp2: Quality 95, Compression Effort 7webp2: Quality 100, Compression Effort 5rocksdb: Rand Fillrocksdb: Rand Readrocksdb: Update Randrocksdb: Seq Fillrocksdb: Rand Fill Syncrocksdb: Read While Writingrocksdb: Read Rand Write Randclickhouse: 100M Rows Web Analytics Dataset, First Run / Cold Cacheclickhouse: 100M Rows Web Analytics Dataset, Second Runclickhouse: 100M Rows Web Analytics Dataset, Third Runsrsran: OFDM_Testspacy: en_core_web_lgspacy: en_core_web_trfsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMbrl-cad: VGR Performance Metricsmhasher: wyhashsmhasher: SHA3-256smhasher: Spooky32smhasher: fasthash32smhasher: FarmHash128smhasher: t1ha2_atoncesmhasher: FarmHash32 x86_64 AVXsmhasher: t1ha0_aes_avx2 x86_64smhasher: MeowHash x86_64 AES-NIonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUmnn: nasnetmnn: mobilenetV3mnn: squeezenetv1.1mnn: resnet-v2-50mnn: SqueezeNetV1.0mnn: MobileNetV2_224mnn: mobilenet-v1-1.0mnn: inception-v3ncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mncnn: CPU - vision_transformerncnn: CPU - FastestDetncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - regnety_400mncnn: Vulkan GPU - vision_transformerncnn: Vulkan GPU - FastestDetopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenfoam: motorBike - Mesh Timeopenfoam: motorBike - Execution Timeopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timebuild-nodejs: Time To Compilebuild-php: Time To Compilebuild-python: Defaultbuild-python: Released Build, PGO + LTO Optimizedy-cruncher: 1By-cruncher: 500Mbuild-erlang: Time To Compilebuild-wasmer: Time To Compileencode-flac: WAV To FLACblender: BMW27 - CPU-OnlyABC274.2346.7301.7375.598.44.441.341.190.3213.165.074.371.271.330.870.8673.972.09143.31157.6613.53207.54164.982727.543641.73139.1137.5130.084.7130.6131.6110.659.1141.9143.5137.1107.00.132.9712.424.6115.9720.6720.770.367.1421.7814.0443.1150.9251.790.97218.47633.65543.9993.10650.243108.078165.90123.7130.4713.214.4013.244.433554961021596891885654431.42657.347037.33298.2729015.1313404.2632079.6631569.7755317.80135421.2576333.93341514394715.729.871.153.224.830.080.042.14549392255722312914716952392662110143482479551.3556.1357.5712807333310169368106.2151.5114.0160.454.79025112.5361299.83525.01617.98031.06516.88720.93516.88727.99914.279020.89933.317744.8071451.340110.76499.6337948.59084.713855.920468686.148051.808637.518025.419.704538630.928063.856.7901617.5692.6275.10443.68310.5845.7434.83755.86132.9110.588.335.726.9813.672.4030.39123.2124.4216.8249.0453.9340.6015.88277.236.9915.695.906.414.525.8913.111.5611.5040.679.1611.3318.1621.9911.477.74495.395.163002.504534.614596.8453.971912.8627.8725.33295.2038.5024.202.882.1281.7149460.354106.194311434.15811318.028118.95731.328363.742173.89876.928195.381126.23720.352227.80268.5338.3301.7382.297.54.471.361.190.3316.815.274.691.31.320.860.8572.242.1144.27159.4513.25210.5170.122749.473684.9137.8140.4132.984.7136.1134.6109.959.1140.8155.8134.2107.10.133.0212.824.6616.3921.2521.250.377.4922.7914.1743.2151.0651.470.97818.24929.80945.0993.12550.377110.721169.2723.8330.6813.214.3813.294.443495211011607121896174493.62664.147283.81298.6629006.3513509.0132387.6331618.3955588.09129449.6576261.77345034457315.5810.291.153.234.740.080.042.15551829263380232924496870722653111892782464548.8655.2154.6011940000010042368106.2148.2114.1162.953.89060612.4841299.11525.01317.80930.58116.89920.82716.89727.92114.192720.37513.24694.812751.358811.45959.5465348.52294.647175.833378629.977975.328686.177918.339.716778592.087887.66.7802516.9712.5594.87341.91110.2635.5744.73554.75733.8110.568.435.646.9313.672.430.35123.324.4716.950.2956.1140.6815.9278.886.8714.546.046.34.455.913.031.5511.5240.639.2611.4218.2319.9111.467.97496.555.133014.864573.794638.1755.271902.8927.6825.05301.3837.9423.472.852.182.1255462.049106.189451440.01621310.614119.91131.452366.377173.32477.147195.071126.41220.233227.88268.3348.5300372.896.74.471.361.20.3313.325.064.681.311.320.870.8774.062.11145.1158.8713.35210.23166.952747.243637.99143.8139.413184.5137.2133.2109.959.2138.2140.6140.6107.50.132.9912.224.6516.3921.1121.120.377.4121.4214.0943.1851.1551.850.9818.3430.1345.1193.14551.107110.407171.41923.8430.7113.264.4213.294.463465161011607121916054498.52666.247158.66298.0628973.0913369.5132090.831514.4454838.74130637.9876036.3345794486615.289.851.153.224.770.080.042.17551546261267752944467039462687113379882753947.7355.9158.8412170000010023368105.5151.7114.4159.153.59052312.4841301.4425.04618.02631.23416.89220.93516.89927.99814.280519.69293.231844.814751.349910.80499.6353648.4234.631355.792618640.737944.168614.667884.079.723658586.87857.716.7922417.2952.5234.78642.39310.2835.5194.75654.13532.7910.538.485.716.913.572.4330.36123.5424.3916.8449.1153.6840.2515.85273.346.9314.776.066.64.735.9813.031.5511.4240.729.3711.3618.2922.2611.497.83485.925.613015.784489.794537.8753.91890.8327.5225.14299.123823.912.862.1280.6666461.84106.780271436.56731311.328119.83431.154365.698172.68276.83193.117125.92319.936226.99OpenBenchmarking.org

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMABC60120180240300SE +/- 1.48, N = 3274.2268.5268.31. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMABC80160240320400SE +/- 0.85, N = 3346.7338.3348.51. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMABC70140210280350SE +/- 0.66, N = 3301.7301.7300.01. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMABC80160240320400SE +/- 2.89, N = 3375.5382.2372.81. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

OpenBenchmarking.orgeNb Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMABC20406080100SE +/- 0.45, N = 398.497.596.71. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

QuadRay

VectorChief's QuadRay is a real-time ray-tracing engine written to support SIMD across ARM, MIPS, PPC, and x86/x86_64 processors. QuadRay supports SSE/SSE2/SSE4 and AVX/AVX2/AVX-512 usage on Intel/AMD CPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 1 - Resolution: 4KABC1.00582.01163.01744.02325.029SE +/- 0.01, N = 34.444.474.471. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 2 - Resolution: 4KABC0.3060.6120.9181.2241.53SE +/- 0.00, N = 31.341.361.361. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 3 - Resolution: 4KABC0.270.540.811.081.35SE +/- 0.00, N = 31.191.191.201. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 5 - Resolution: 4KABC0.07430.14860.22290.29720.3715SE +/- 0.00, N = 30.320.330.331. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 1 - Resolution: 1080pABC48121620SE +/- 0.10, N = 313.1616.8113.321. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 2 - Resolution: 1080pABC1.18582.37163.55744.74325.929SE +/- 0.05, N = 155.075.275.061. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 3 - Resolution: 1080pABC1.05532.11063.16594.22125.2765SE +/- 0.05, N = 34.374.694.681. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

OpenBenchmarking.orgFPS, More Is BetterQuadRay 2022.05.25Scene: 5 - Resolution: 1080pABC0.29480.58960.88441.17921.474SE +/- 0.00, N = 31.271.301.311. (CXX) g++ options: -O3 -pthread -lm -lstdc++ -lX11 -lXext -lpthread

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.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16 - Device: CPUABC0.29930.59860.89791.19721.4965SE +/- 0.00, N = 31.331.321.321. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUABC0.19580.39160.58740.78320.979SE +/- 0.00, N = 30.870.860.871. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUABC0.19580.39160.58740.78320.979SE +/- 0.00, N = 30.860.850.871. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUABC1632486480SE +/- 0.23, N = 373.9772.2474.061. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUABC0.47480.94961.42441.89922.374SE +/- 0.00, N = 32.092.102.111. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUABC306090120150SE +/- 0.44, N = 3143.31144.27145.101. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUABC4080120160200SE +/- 0.18, N = 3157.66159.45158.871. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUABC3691215SE +/- 0.05, N = 313.5313.2513.351. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUABC50100150200250SE +/- 0.12, N = 3207.54210.50210.231. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUABC4080120160200SE +/- 1.36, N = 3164.98170.12166.951. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUABC6001200180024003000SE +/- 4.92, N = 32727.542749.472747.241. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUABC8001600240032004000SE +/- 17.35, N = 33641.733684.903637.991. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

Unvanquished

Unvanquished is a modern fork of the Tremulous first person shooter. Unvanquished is powered by the Daemon engine, a combination of the ioquake3 (id Tech 3) engine with the graphically-beautiful XreaL engine. Unvanquished supports a modern OpenGL 3 renderer and other advanced graphics features for this open-source, cross-platform shooter game. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 1920 x 1080 - Effects Quality: HighABC306090120150SE +/- 1.33, N = 15139.1137.8143.8

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 1920 x 1200 - Effects Quality: HighABC306090120150SE +/- 0.75, N = 3137.5140.4139.4

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 2560 x 1440 - Effects Quality: HighABC306090120150SE +/- 1.20, N = 3130.0132.9131.0

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 3840 x 2160 - Effects Quality: HighABC20406080100SE +/- 0.12, N = 384.784.784.5

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 1920 x 1080 - Effects Quality: UltraABC306090120150SE +/- 0.50, N = 3130.6136.1137.2

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 1920 x 1200 - Effects Quality: UltraABC306090120150SE +/- 1.58, N = 4131.6134.6133.2

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 2560 x 1440 - Effects Quality: UltraABC20406080100SE +/- 0.46, N = 3110.6109.9109.9

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 3840 x 2160 - Effects Quality: UltraABC1326395265SE +/- 0.00, N = 359.159.159.2

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 1920 x 1080 - Effects Quality: MediumABC306090120150SE +/- 1.59, N = 3141.9140.8138.2

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 1920 x 1200 - Effects Quality: MediumABC306090120150SE +/- 1.19, N = 15143.5155.8140.6

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 2560 x 1440 - Effects Quality: MediumABC306090120150SE +/- 1.02, N = 15137.1134.2140.6

OpenBenchmarking.orgFrames Per Second, More Is BetterUnvanquished 0.53Resolution: 3840 x 2160 - Effects Quality: MediumABC20406080100SE +/- 0.12, N = 3107.0107.1107.5

AOM AV1

This is a test of the AOMedia AV1 encoder (libaom) developed by AOMedia and Google as the AV1 Codec Library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4KABC0.02930.05860.08790.11720.1465SE +/- 0.00, N = 30.130.130.131. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4KABC0.67951.3592.03852.7183.3975SE +/- 0.01, N = 32.973.022.991. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4KABC3691215SE +/- 0.03, N = 312.4212.8212.221. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4KABC1.04852.0973.14554.1945.2425SE +/- 0.01, N = 34.614.664.651. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4KABC48121620SE +/- 0.01, N = 315.9716.3916.391. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4KABC510152025SE +/- 0.03, N = 320.6721.2521.111. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4KABC510152025SE +/- 0.00, N = 320.7721.2521.121. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080pABC0.08330.16660.24990.33320.4165SE +/- 0.00, N = 30.360.370.371. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080pABC246810SE +/- 0.07, N = 37.147.497.411. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080pABC510152025SE +/- 0.14, N = 321.7822.7921.421. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080pABC48121620SE +/- 0.02, N = 314.0414.1714.091. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080pABC1020304050SE +/- 0.15, N = 343.1143.2143.181. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080pABC1224364860SE +/- 0.03, N = 350.9251.0651.151. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 3.5Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080pABC1224364860SE +/- 0.05, N = 351.7951.4751.851. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm

SVT-AV1

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 4KABC0.22050.4410.66150.8821.1025SE +/- 0.002, N = 30.9720.9780.9801. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 4KABC510152025SE +/- 0.19, N = 318.4818.2518.341. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 4KABC816243240SE +/- 0.13, N = 333.6629.8130.131. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 4KABC1020304050SE +/- 0.07, N = 344.0045.1045.121. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 4 - Input: Bosphorus 1080pABC0.70761.41522.12282.83043.538SE +/- 0.008, N = 33.1063.1253.1451. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 8 - Input: Bosphorus 1080pABC1224364860SE +/- 0.13, N = 350.2450.3851.111. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 10 - Input: Bosphorus 1080pABC20406080100SE +/- 0.25, N = 3108.08110.72110.411. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

OpenBenchmarking.orgFrames Per Second, More Is BetterSVT-AV1 1.2Encoder Mode: Preset 12 - Input: Bosphorus 1080pABC4080120160200SE +/- 0.65, N = 3165.90169.27171.421. (CXX) g++ options: -march=native -mno-avx -mavx2 -mavx512f -mavx512bw -mavx512dq

TensorFlow

This is a benchmark of the TensorFlow deep learning framework using the TensorFlow reference benchmarks (tensorflow/benchmarks with tf_cnn_benchmarks.py). Note with the Phoronix Test Suite there is also pts/tensorflow-lite for benchmarking the TensorFlow Lite binaries too. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: AlexNetABC612182430SE +/- 0.02, N = 323.7123.8323.84

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: AlexNetABC714212835SE +/- 0.09, N = 330.4730.6830.71

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: GoogLeNetABC3691215SE +/- 0.03, N = 313.2113.2113.26

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 16 - Model: ResNet-50ABC0.99451.9892.98353.9784.9725SE +/- 0.00, N = 34.404.384.42

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: GoogLeNetABC3691215SE +/- 0.03, N = 313.2413.2913.29

OpenBenchmarking.orgimages/sec, More Is BetterTensorFlow 2.10Device: CPU - Batch Size: 32 - Model: ResNet-50ABC1.00352.0073.01054.0145.0175SE +/- 0.00, N = 34.434.444.46

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SwirlABC80160240320400SE +/- 4.33, N = 33553493461. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: RotateABC110220330440550SE +/- 0.67, N = 34965215161. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: SharpenABC20406080100SE +/- 0.88, N = 31021011011. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: EnhancedABC4080120160200SE +/- 1.20, N = 31591601601. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: ResizingABC150300450600750SE +/- 3.18, N = 36897127121. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: Noise-GaussianABC4080120160200SE +/- 0.33, N = 31881891911. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.38Operation: HWB Color SpaceABC130260390520650SE +/- 0.88, N = 35656176051. (CC) gcc options: -fopenmp -O2 -ljbig -ltiff -lfreetype -ljpeg -lXext -lSM -lICE -lX11 -llzma -lbz2 -lxml2 -lz -lm -lpthread

C-Blosc

C-Blosc (c-blosc2) simple, compressed, fast and persistent data store library for C. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.3Test: blosclz shuffleABC10002000300040005000SE +/- 8.86, N = 34431.44493.64498.51. (CC) gcc options: -std=gnu99 -O3 -lrt -lm

OpenBenchmarking.orgMB/s, More Is BetterC-Blosc 2.3Test: blosclz bitshuffleABC6001200180024003000SE +/- 4.29, N = 32657.32664.12666.21. (CC) gcc options: -std=gnu99 -O3 -lrt -lm

SMHasher

SMHasher is a hash function tester supporting various algorithms and able to make use of AVX and other modern CPU instruction set extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: wyhashABC10K20K30K40K50KSE +/- 51.40, N = 347037.3347283.8147158.661. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: SHA3-256ABC70140210280350SE +/- 1.36, N = 3298.27298.66298.061. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: Spooky32ABC6K12K18K24K30KSE +/- 22.39, N = 329015.1329006.3528973.091. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: fasthash32ABC3K6K9K12K15KSE +/- 20.42, N = 313404.2613509.0113369.511. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: FarmHash128ABC7K14K21K28K35KSE +/- 2.39, N = 332079.6632387.6332090.801. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: t1ha2_atonceABC7K14K21K28K35KSE +/- 14.17, N = 331569.7731618.3931514.441. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: FarmHash32 x86_64 AVXABC12K24K36K48K60KSE +/- 125.99, N = 355317.8055588.0954838.741. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: t1ha0_aes_avx2 x86_64ABC30K60K90K120K150KSE +/- 244.13, N = 3135421.25129449.65130637.981. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

OpenBenchmarking.orgMiB/sec, More Is BetterSMHasher 2022-08-22Hash: MeowHash x86_64 AES-NIABC16K32K48K64K80KSE +/- 18.54, N = 376333.9376261.7776036.301. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

7-Zip Compression

This is a test of 7-Zip compression/decompression with its integrated benchmark feature. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Compression RatingABC7K14K21K28K35KSE +/- 37.85, N = 33415134503345791. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 22.01Test: Decompression RatingABC10K20K30K40K50KSE +/- 110.79, N = 34394744573448661. (CXX) g++ options: -lpthread -ldl -O2 -fPIC

WebP Image Encode

This is a test of Google's libwebp with the cwebp image encode utility and using a sample 6000x4000 pixel JPEG image as the input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: DefaultABC48121620SE +/- 0.14, N = 715.7215.5815.281. (CC) gcc options: -fvisibility=hidden -O2 -lm

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100ABC3691215SE +/- 0.05, N = 39.8710.299.851. (CC) gcc options: -fvisibility=hidden -O2 -lm

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, LosslessABC0.25880.51760.77641.03521.294SE +/- 0.00, N = 31.151.151.151. (CC) gcc options: -fvisibility=hidden -O2 -lm

OpenBenchmarking.orgMP/s, More Is BetterWebP Image Encode 1.2.4Encode Settings: Quality 100, Highest CompressionABC0.72681.45362.18042.90723.634SE +/- 0.03, N = 33.223.233.221. (CC) gcc options: -fvisibility=hidden -O2 -lm

WebP2 Image Encode

This is a test of Google's libwebp2 library with the WebP2 image encode utility and using a sample 6000x4000 pixel JPEG image as the input, similar to the WebP/libwebp test profile. WebP2 is currently experimental and under heavy development as ultimately the successor to WebP. WebP2 supports 10-bit HDR, more efficienct lossy compression, improved lossless compression, animation support, and full multi-threading support compared to WebP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: DefaultABC1.08682.17363.26044.34725.434SE +/- 0.01, N = 34.834.744.771. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 75, Compression Effort 7ABC0.0180.0360.0540.0720.09SE +/- 0.00, N = 30.080.080.081. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 95, Compression Effort 7ABC0.0090.0180.0270.0360.045SE +/- 0.00, N = 30.040.040.041. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

OpenBenchmarking.orgMP/s, More Is BetterWebP2 Image Encode 20220823Encode Settings: Quality 100, Compression Effort 5ABC0.48830.97661.46491.95322.4415SE +/- 0.01, N = 32.142.152.171. (CXX) g++ options: -msse4.2 -fno-rtti -O3 -ldl

Facebook RocksDB

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Random FillABC120K240K360K480K600KSE +/- 1564.28, N = 35493925518295515461. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Random ReadABC6M12M18M24M30MSE +/- 268758.24, N = 52557223126338023261267751. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Update RandomABC60K120K180K240K300KSE +/- 531.44, N = 32914712924492944461. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Sequential FillABC150K300K450K600K750KSE +/- 2562.12, N = 36952396870727039461. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Random Fill SyncABC6001200180024003000SE +/- 6.11, N = 32662265326871. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Read While WritingABC200K400K600K800K1000KSE +/- 5405.15, N = 31101434111892711337981. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

OpenBenchmarking.orgOp/s, More Is BetterFacebook RocksDB 7.5.3Test: Read Random Write RandomABC200K400K600K800K1000KSE +/- 1407.09, N = 38247958246458275391. (CXX) g++ options: -O3 -march=native -pthread -fno-builtin-memcmp -fno-rtti -lpthread

ClickHouse

ClickHouse is an open-source, high performance OLAP data management system. This test profile uses ClickHouse's standard benchmark recommendations per https://clickhouse.com/docs/en/operations/performance-test/ with the 100 million rows web analytics dataset. The reported value is the query processing time using the geometric mean of all queries performed. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, First Run / Cold CacheABC1224364860SE +/- 0.51, N = 951.3548.8647.73MIN: 3.39 / MAX: 8571.43MIN: 3.81 / MAX: 4615.38MIN: 3.78 / MAX: 5454.551. ClickHouse server version 22.5.4.19 (official build).

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, Second RunABC1326395265SE +/- 0.62, N = 956.1355.2155.91MIN: 3.7 / MAX: 15000MIN: 3.88 / MAX: 2608.7MIN: 3.87 / MAX: 4285.711. ClickHouse server version 22.5.4.19 (official build).

OpenBenchmarking.orgQueries Per Minute, Geo Mean, More Is BetterClickHouse 22.5.4.19100M Rows Web Analytics Dataset, Third RunABC1326395265SE +/- 0.19, N = 957.5754.6058.84MIN: 3.7 / MAX: 15000MIN: 3.91 / MAX: 2857.14MIN: 3.83 / MAX: 75001. ClickHouse server version 22.5.4.19 (official build).

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSamples / Second, More Is BettersrsRAN 22.04.1Test: OFDM_TestABC30M60M90M120M150MSE +/- 1325194.21, N = 151280733331194000001217000001. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

spaCy

The spaCy library is an open-source solution for advanced neural language processing (NLP). The spaCy library leverages Python and is a leading neural language processing solution. This test profile times the spaCy CPU performance with various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgtokens/sec, More Is BetterspaCy 3.4.1Model: en_core_web_lgABC2K4K6K8K10KSE +/- 60.05, N = 3101691004210023

OpenBenchmarking.orgtokens/sec, More Is BetterspaCy 3.4.1Model: en_core_web_trfABC80160240320400SE +/- 0.88, N = 3368368368

srsRAN

srsRAN is an open-source LTE/5G software radio suite created by Software Radio Systems (SRS). The srsRAN radio suite was formerly known as srsLTE and can be used for building your own software-defined radio (SDR) 4G/5G mobile network. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAMABC20406080100SE +/- 0.22, N = 3106.2106.2105.51. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 64-QAMABC306090120150SE +/- 0.35, N = 3151.5148.2151.71. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAMABC306090120150SE +/- 0.21, N = 3114.0114.1114.41. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 4G PHY_DL_Test 100 PRB SISO 256-QAMABC4080120160200SE +/- 1.39, N = 3160.4162.9159.11. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

OpenBenchmarking.orgUE Mb/s, More Is BettersrsRAN 22.04.1Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMABC1224364860SE +/- 0.10, N = 354.753.853.51. (CXX) g++ options: -std=c++14 -fno-strict-aliasing -march=native -mfpmath=sse -mavx2 -fvisibility=hidden -O3 -fno-trapping-math -fno-math-errno -ldl -lpthread -lm

BRL-CAD

BRL-CAD is a cross-platform, open-source solid modeling system with built-in benchmark mode. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.32.6VGR Performance MetricABC20K40K60K80K100K9025190606905231. (CXX) g++ options: -std=c++11 -pipe -fvisibility=hidden -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -ldl -lm

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUABC48121620SE +/- 0.01, N = 314.2814.1914.28MIN: 13.95MIN: 13.89MIN: 13.991. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUABC510152025SE +/- 0.02, N = 320.9020.3819.69MIN: 19.26MIN: 18.83MIN: 18.441. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUABC0.74651.4932.23952.9863.7325SE +/- 0.00316, N = 33.317743.246903.23184MIN: 3.06MIN: 3.03MIN: 3.041. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUABC1.08332.16663.24994.33325.4165SE +/- 0.00172, N = 34.807144.812704.81470MIN: 4.69MIN: 4.71MIN: 4.71. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

Harness: IP Shapes 1D - Data Type: bf16bf16bf16 - Engine: CPU

A: The test run did not produce a result.

B: The test run did not produce a result.

C: The test run did not produce a result.

Harness: IP Shapes 3D - Data Type: bf16bf16bf16 - Engine: CPU

A: The test run did not produce a result.

B: The test run did not produce a result.

C: The test run did not produce a result.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUABC1224364860SE +/- 0.01, N = 351.3451.3651.35MIN: 50.69MIN: 50.7MIN: 50.161. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUABC3691215SE +/- 0.08, N = 1210.7611.4610.80MIN: 7.8MIN: 7.85MIN: 7.931. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUABC3691215SE +/- 0.02024, N = 39.633799.546539.63536MIN: 9.05MIN: 9.11MIN: 9.211. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUABC1122334455SE +/- 0.08, N = 348.5948.5248.42MIN: 47.93MIN: 48.04MIN: 48.011. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUABC1.06062.12123.18184.24245.303SE +/- 0.01121, N = 34.713854.647174.63135MIN: 4.27MIN: 4.31MIN: 4.241. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUABC1.33212.66423.99635.32846.6605SE +/- 0.01821, N = 35.920465.833375.79261MIN: 5.22MIN: 5.16MIN: 5.31. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUABC2K4K6K8K10KSE +/- 7.23, N = 38686.148629.978640.73MIN: 8636.96MIN: 8579.92MIN: 8601.171. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUABC2K4K6K8K10KSE +/- 6.19, N = 38051.807975.327944.16MIN: 8018.11MIN: 7952.97MIN: 7909.951. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUABC2K4K6K8K10KSE +/- 5.30, N = 38637.518686.178614.66MIN: 8594.99MIN: 8651.11MIN: 8579.221. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPU

A: The test run did not produce a result.

B: The test run did not produce a result.

C: The test run did not produce a result.

Harness: Deconvolution Batch shapes_1d - Data Type: bf16bf16bf16 - Engine: CPU

A: The test run did not produce a result.

B: The test run did not produce a result.

C: The test run did not produce a result.

Harness: Deconvolution Batch shapes_3d - Data Type: bf16bf16bf16 - Engine: CPU

A: The test run did not produce a result.

B: The test run did not produce a result.

C: The test run did not produce a result.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUABC2K4K6K8K10KSE +/- 10.30, N = 38025.417918.337884.07MIN: 7981.52MIN: 7896.96MIN: 7871.321. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUABC3691215SE +/- 0.00123, N = 39.704539.716779.72365MIN: 9.54MIN: 9.57MIN: 9.571. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUABC2K4K6K8K10KSE +/- 22.45, N = 38630.928592.088586.80MIN: 8567.27MIN: 8562.35MIN: 8549.181. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUABC2K4K6K8K10KSE +/- 10.88, N = 38063.857887.607857.71MIN: 8026.67MIN: 7865.46MIN: 7839.691. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.7Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUABC246810SE +/- 0.00466, N = 36.790166.780256.79224MIN: 6.34MIN: 6.4MIN: 6.321. (CXX) g++ options: -O3 -march=native -fopenmp -msse4.1 -fPIC -pie -ldl -lpthread

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPU

A: The test run did not produce a result.

B: The test run did not produce a result.

C: The test run did not produce a result.

Mobile Neural Network

MNN is the Mobile Neural Network as a highly efficient, lightweight deep learning framework developed by Alibaba. This MNN test profile is building the OpenMP / CPU threaded version for processor benchmarking and not any GPU-accelerated test. MNN does allow making use of AVX-512 extensions. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: nasnetABC48121620SE +/- 0.09, N = 317.5716.9717.30MIN: 17.11 / MAX: 32.86MIN: 16.65 / MAX: 22.65MIN: 17.04 / MAX: 32.641. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenetV3ABC0.59111.18221.77332.36442.9555SE +/- 0.027, N = 32.6272.5592.523MIN: 2.51 / MAX: 4.18MIN: 2.48 / MAX: 5.23MIN: 2.46 / MAX: 3.451. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: squeezenetv1.1ABC1.14842.29683.44524.59365.742SE +/- 0.085, N = 35.1044.8734.786MIN: 4.83 / MAX: 17.44MIN: 4.73 / MAX: 6.22MIN: 4.66 / MAX: 6.441. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: resnet-v2-50ABC1020304050SE +/- 0.35, N = 343.6841.9142.39MIN: 42.3 / MAX: 59.3MIN: 41.13 / MAX: 89.56MIN: 41.67 / MAX: 57.541. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: SqueezeNetV1.0ABC3691215SE +/- 0.11, N = 310.5810.2610.28MIN: 10.02 / MAX: 25.16MIN: 9.92 / MAX: 11.57MIN: 9.81 / MAX: 16.541. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: MobileNetV2_224ABC1.29222.58443.87665.16886.461SE +/- 0.031, N = 35.7435.5745.519MIN: 5.48 / MAX: 21.23MIN: 5.39 / MAX: 11.74MIN: 5.31 / MAX: 6.721. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: mobilenet-v1-1.0ABC1.08832.17663.26494.35325.4415SE +/- 0.027, N = 34.8374.7354.756MIN: 4.62 / MAX: 5.59MIN: 4.55 / MAX: 19.53MIN: 4.56 / MAX: 5.551. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2.1Model: inception-v3ABC1326395265SE +/- 0.22, N = 355.8654.7654.14MIN: 54.66 / MAX: 164.93MIN: 53.74 / MAX: 114.32MIN: 53.36 / MAX: 68.971. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mobilenetABC816243240SE +/- 0.06, N = 332.9133.8132.79MIN: 32.07 / MAX: 48.87MIN: 33.19 / MAX: 34.81MIN: 31.99 / MAX: 34.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v2-v2 - Model: mobilenet-v2ABC3691215SE +/- 0.01, N = 310.5810.5610.53MIN: 9.93 / MAX: 11.96MIN: 9.99 / MAX: 13.06MIN: 10.03 / MAX: 12.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU-v3-v3 - Model: mobilenet-v3ABC246810SE +/- 0.00, N = 38.338.438.48MIN: 7.91 / MAX: 12.1MIN: 7.91 / MAX: 9.75MIN: 8.01 / MAX: 9.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: shufflenet-v2ABC1.2872.5743.8615.1486.435SE +/- 0.01, N = 35.725.645.71MIN: 5.34 / MAX: 6.86MIN: 5.4 / MAX: 6.54MIN: 5.41 / MAX: 6.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: mnasnetABC246810SE +/- 0.01, N = 36.986.936.90MIN: 6.64 / MAX: 8.35MIN: 6.68 / MAX: 8.21MIN: 6.7 / MAX: 8.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: efficientnet-b0ABC48121620SE +/- 0.00, N = 313.6713.6713.57MIN: 12.95 / MAX: 15.62MIN: 12.95 / MAX: 15.45MIN: 12.93 / MAX: 15.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: blazefaceABC0.54681.09361.64042.18722.734SE +/- 0.00, N = 32.402.402.43MIN: 2.31 / MAX: 3.34MIN: 2.32 / MAX: 3.22MIN: 2.35 / MAX: 3.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: googlenetABC714212835SE +/- 0.05, N = 330.3930.3530.36MIN: 29.53 / MAX: 63.12MIN: 29.67 / MAX: 31.69MIN: 29.66 / MAX: 31.931. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vgg16ABC306090120150SE +/- 0.10, N = 3123.21123.30123.54MIN: 122.18 / MAX: 128.35MIN: 122.27 / MAX: 131.77MIN: 122.7 / MAX: 165.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet18ABC612182430SE +/- 0.09, N = 324.4224.4724.39MIN: 23.93 / MAX: 47.11MIN: 24.12 / MAX: 25.52MIN: 24.07 / MAX: 26.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: alexnetABC48121620SE +/- 0.05, N = 316.8216.9016.84MIN: 16.41 / MAX: 18.04MIN: 16.54 / MAX: 17.43MIN: 16.47 / MAX: 17.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: resnet50ABC1122334455SE +/- 0.10, N = 349.0450.2949.11MIN: 48.32 / MAX: 50.3MIN: 49.25 / MAX: 92.13MIN: 48.61 / MAX: 49.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: yolov4-tinyABC1326395265SE +/- 0.24, N = 353.9356.1153.68MIN: 52.76 / MAX: 59.52MIN: 55.41 / MAX: 67.95MIN: 52.89 / MAX: 54.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: squeezenet_ssdABC918273645SE +/- 0.16, N = 340.6040.6840.25MIN: 39.28 / MAX: 100.58MIN: 39.81 / MAX: 41.84MIN: 39.04 / MAX: 41.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: regnety_400mABC48121620SE +/- 0.03, N = 315.8815.9015.85MIN: 15.38 / MAX: 17.56MIN: 15.44 / MAX: 25.7MIN: 15.49 / MAX: 17.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: vision_transformerABC60120180240300SE +/- 0.84, N = 3277.23278.88273.34MIN: 272.75 / MAX: 341.78MIN: 276.41 / MAX: 290.32MIN: 270.15 / MAX: 281.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: CPU - Model: FastestDetABC246810SE +/- 0.07, N = 36.996.876.93MIN: 6.62 / MAX: 7.84MIN: 6.69 / MAX: 7.26MIN: 6.72 / MAX: 10.541. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: mobilenetABC48121620SE +/- 0.89, N = 1215.6914.5414.77MIN: 13.68 / MAX: 34.77MIN: 13.65 / MAX: 16.99MIN: 13.84 / MAX: 30.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2ABC246810SE +/- 0.06, N = 125.906.046.06MIN: 4.78 / MAX: 7.26MIN: 5.43 / MAX: 6.83MIN: 5.47 / MAX: 7.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3ABC246810SE +/- 0.04, N = 126.416.306.60MIN: 5.42 / MAX: 7.73MIN: 5.78 / MAX: 7.35MIN: 5.59 / MAX: 7.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: shufflenet-v2ABC1.06432.12863.19294.25725.3215SE +/- 0.07, N = 124.524.454.73MIN: 3.47 / MAX: 5.95MIN: 3.68 / MAX: 5.47MIN: 3.71 / MAX: 5.771. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: mnasnetABC1.34552.6914.03655.3826.7275SE +/- 0.02, N = 125.895.905.98MIN: 4.8 / MAX: 7.01MIN: 5.24 / MAX: 6.51MIN: 5.06 / MAX: 6.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: efficientnet-b0ABC3691215SE +/- 0.03, N = 1213.1113.0313.03MIN: 11.9 / MAX: 14.23MIN: 12.1 / MAX: 13.9MIN: 11.94 / MAX: 13.961. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: blazefaceABC0.3510.7021.0531.4041.755SE +/- 0.00, N = 121.561.551.55MIN: 1.49 / MAX: 2.32MIN: 1.49 / MAX: 2.35MIN: 1.5 / MAX: 2.111. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: googlenetABC3691215SE +/- 0.05, N = 1211.5011.5211.42MIN: 10.33 / MAX: 12.79MIN: 10.69 / MAX: 12.47MIN: 10.68 / MAX: 12.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: vgg16ABC918273645SE +/- 0.02, N = 1240.6740.6340.72MIN: 39.9 / MAX: 42.18MIN: 39.96 / MAX: 41.46MIN: 40.3 / MAX: 41.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: resnet18ABC3691215SE +/- 0.03, N = 129.169.269.37MIN: 8.38 / MAX: 10.82MIN: 8.36 / MAX: 10.21MIN: 8.44 / MAX: 10.41. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: alexnetABC3691215SE +/- 0.02, N = 1211.3311.4211.36MIN: 10.56 / MAX: 12.69MIN: 10.6 / MAX: 12.34MIN: 10.62 / MAX: 12.351. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: resnet50ABC510152025SE +/- 0.04, N = 1218.1618.2318.29MIN: 17.15 / MAX: 19.52MIN: 17.32 / MAX: 19.43MIN: 17.37 / MAX: 19.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: yolov4-tinyABC510152025SE +/- 0.62, N = 1221.9919.9122.26MIN: 18.94 / MAX: 43.4MIN: 18.96 / MAX: 29.39MIN: 18.95 / MAX: 35.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: squeezenet_ssdABC3691215SE +/- 0.02, N = 1211.4711.4611.49MIN: 10.38 / MAX: 28.65MIN: 10.74 / MAX: 22.86MIN: 10.67 / MAX: 14.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: regnety_400mABC246810SE +/- 0.05, N = 127.747.977.83MIN: 6.16 / MAX: 8.79MIN: 7.32 / MAX: 8.8MIN: 6.68 / MAX: 8.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: vision_transformerABC110220330440550SE +/- 1.50, N = 12495.39496.55485.92MIN: 454.64 / MAX: 937.46MIN: 469.85 / MAX: 519.55MIN: 459.84 / MAX: 511.861. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20220729Target: Vulkan GPU - Model: FastestDetABC1.26232.52463.78695.04926.3115SE +/- 0.07, N = 125.165.135.61MIN: 3.72 / MAX: 6.4MIN: 3.75 / MAX: 6.05MIN: 4.66 / MAX: 6.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

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 2022.2.devModel: Face Detection FP16 - Device: CPUABC6001200180024003000SE +/- 1.33, N = 33002.503014.863015.78MIN: 2859.06 / MAX: 3143.06MIN: 2920.66 / MAX: 3180.59MIN: 2912.64 / MAX: 3118.771. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP16 - Device: CPUABC10002000300040005000SE +/- 23.10, N = 34534.614573.794489.79MIN: 3707.14 / MAX: 5216.88MIN: 3896.02 / MAX: 5195.82MIN: 3799.84 / MAX: 5229.441. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Detection FP32 - Device: CPUABC10002000300040005000SE +/- 13.58, N = 34596.844638.174537.87MIN: 3807.31 / MAX: 5161.95MIN: 3951.69 / MAX: 5196.3MIN: 3774.07 / MAX: 5226.261. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16 - Device: CPUABC1224364860SE +/- 0.17, N = 353.9755.2753.90MIN: 26.23 / MAX: 79.93MIN: 33.76 / MAX: 82.8MIN: 30.6 / MAX: 87.571. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Face Detection FP16-INT8 - Device: CPUABC400800120016002000SE +/- 2.42, N = 31912.861902.891890.83MIN: 1858.14 / MAX: 1948.83MIN: 1854.25 / MAX: 1946.21MIN: 1836.96 / MAX: 1913.631. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Vehicle Detection FP16-INT8 - Device: CPUABC714212835SE +/- 0.08, N = 327.8727.6827.52MIN: 23.08 / MAX: 56.78MIN: 22.72 / MAX: 56.8MIN: 23.18 / MAX: 58.551. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16 - Device: CPUABC612182430SE +/- 0.03, N = 325.3325.0525.14MIN: 20.28 / MAX: 48.91MIN: 22.53 / MAX: 48.72MIN: 23.44 / MAX: 48.411. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Machine Translation EN To DE FP16 - Device: CPUABC70140210280350SE +/- 1.05, N = 3295.20301.38299.12MIN: 206.56 / MAX: 367MIN: 213.65 / MAX: 322.07MIN: 209.85 / MAX: 325.381. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Weld Porosity Detection FP16-INT8 - Device: CPUABC918273645SE +/- 0.02, N = 338.5037.9438.00MIN: 31.49 / MAX: 77.17MIN: 29.14 / MAX: 75.36MIN: 30.09 / MAX: 74.111. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Person Vehicle Bike Detection FP16 - Device: CPUABC612182430SE +/- 0.20, N = 324.2023.4723.91MIN: 16.28 / MAX: 46.34MIN: 19.71 / MAX: 47.02MIN: 17.22 / MAX: 43.651. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16 - Device: CPUABC0.6481.2961.9442.5923.24SE +/- 0.01, N = 32.882.852.86MIN: 1.82 / MAX: 29.13MIN: 1.94 / MAX: 7.85MIN: 1.79 / MAX: 15.091. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2022.2.devModel: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPUABC0.4770.9541.4311.9082.385SE +/- 0.01, N = 32.122.102.12MIN: 1.06 / MAX: 26.87MIN: 1.26 / MAX: 4.29MIN: 1.09 / MAX: 5.351. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -fno-strict-overflow -fwrapv -pie -ldl

OpenFOAM

OpenFOAM is the leading free, open-source software for computational fluid dynamics (CFD). This test profile currently uses the drivaerFastback test case for analyzing automotive aerodynamics or alternatively the older motorBike input. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: motorBike - Mesh TimeABC2040608010081.7182.1380.671. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: motorBike - Execution TimeABC100200300400500460.35462.05461.841. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Mesh TimeABC20406080100106.19106.19106.781. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenFOAM 10Input: drivaerFastback, Small Mesh Size - Execution TimeABC300600900120015001434.161440.021436.571. (CXX) g++ options: -std=c++14 -m64 -O3 -ftemplate-depth-100 -fPIC -fuse-ld=bfd -Xlinker --add-needed --no-as-needed -ldynamicMesh -lgenericPatchFields -lOpenFOAM -ldl -lm

Timed Node.js Compilation

This test profile times how long it takes to build/compile Node.js itself from source. Node.js is a JavaScript run-time built from the Chrome V8 JavaScript engine while itself is written in C/C++. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Node.js Compilation 18.8Time To CompileABC30060090012001500SE +/- 0.95, N = 31318.031310.611311.33

Timed PHP Compilation

This test times how long it takes to build PHP. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed PHP Compilation 8.1.9Time To CompileABC306090120150SE +/- 0.62, N = 3118.96119.91119.83

Timed CPython Compilation

This test times how long it takes to build the reference Python implementation, CPython, with optimizations and LTO enabled for a release build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: DefaultABC71421283531.3331.4531.15

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed CPython Compilation 3.10.6Build Configuration: Released Build, PGO + LTO OptimizedABC80160240320400363.74366.38365.70

Y-Cruncher

Y-Cruncher is a multi-threaded Pi benchmark capable of computing Pi to trillions of digits. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 1BABC4080120160200SE +/- 0.08, N = 3173.90173.32172.68

OpenBenchmarking.orgSeconds, Fewer Is BetterY-Cruncher 0.7.10.9513Pi Digits To Calculate: 500MABC20406080100SE +/- 0.01, N = 376.9377.1576.83

Timed Erlang/OTP Compilation

This test times how long it takes to compile Erlang/OTP. Erlang is a programming language and run-time for massively scalable soft real-time systems with high availability requirements. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Erlang/OTP Compilation 25.0Time To CompileABC4080120160200SE +/- 0.37, N = 3195.38195.07193.12

Timed Wasmer Compilation

This test times how long it takes to compile Wasmer. Wasmer is written in the Rust programming language and is a WebAssembly runtime implementation that supports WASI and EmScripten. This test profile builds Wasmer with the Cranelift and Singlepast compiler features enabled. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Wasmer Compilation 2.3Time To CompileABC306090120150SE +/- 0.22, N = 3126.24126.41125.921. (CC) gcc options: -m64 -ldl -lgcc_s -lutil -lrt -lpthread -lm -lc -pie -nodefaultlibs

FLAC Audio Encoding

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.4WAV To FLACABC510152025SE +/- 0.06, N = 520.3520.2319.941. (CXX) g++ options: -O3 -fvisibility=hidden -logg -lm

Blender

OpenBenchmarking.orgSeconds, Fewer Is BetterBlender 3.3Blend File: BMW27 - Compute: CPU-OnlyABC50100150200250SE +/- 0.29, N = 3227.80227.88226.99

198 Results Shown

srsRAN:
  4G PHY_DL_Test 100 PRB MIMO 64-QAM
  4G PHY_DL_Test 100 PRB SISO 64-QAM
  4G PHY_DL_Test 100 PRB MIMO 256-QAM
  4G PHY_DL_Test 100 PRB SISO 256-QAM
  5G PHY_DL_NR Test 52 PRB SISO 64-QAM
QuadRay:
  1 - 4K
  2 - 4K
  3 - 4K
  5 - 4K
  1 - 1080p
  2 - 1080p
  3 - 1080p
  5 - 1080p
OpenVINO:
  Face Detection FP16 - CPU
  Person Detection FP16 - CPU
  Person Detection FP32 - CPU
  Vehicle Detection FP16 - CPU
  Face Detection FP16-INT8 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Weld Porosity Detection FP16 - CPU
  Machine Translation EN To DE FP16 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
Unvanquished:
  1920 x 1080 - High
  1920 x 1200 - High
  2560 x 1440 - High
  3840 x 2160 - High
  1920 x 1080 - Ultra
  1920 x 1200 - Ultra
  2560 x 1440 - Ultra
  3840 x 2160 - Ultra
  1920 x 1080 - Medium
  1920 x 1200 - Medium
  2560 x 1440 - Medium
  3840 x 2160 - Medium
AOM AV1:
  Speed 0 Two-Pass - Bosphorus 4K
  Speed 4 Two-Pass - Bosphorus 4K
  Speed 6 Realtime - Bosphorus 4K
  Speed 6 Two-Pass - Bosphorus 4K
  Speed 8 Realtime - Bosphorus 4K
  Speed 9 Realtime - Bosphorus 4K
  Speed 10 Realtime - Bosphorus 4K
  Speed 0 Two-Pass - Bosphorus 1080p
  Speed 4 Two-Pass - Bosphorus 1080p
  Speed 6 Realtime - Bosphorus 1080p
  Speed 6 Two-Pass - Bosphorus 1080p
  Speed 8 Realtime - Bosphorus 1080p
  Speed 9 Realtime - Bosphorus 1080p
  Speed 10 Realtime - Bosphorus 1080p
SVT-AV1:
  Preset 4 - Bosphorus 4K
  Preset 8 - Bosphorus 4K
  Preset 10 - Bosphorus 4K
  Preset 12 - Bosphorus 4K
  Preset 4 - Bosphorus 1080p
  Preset 8 - Bosphorus 1080p
  Preset 10 - Bosphorus 1080p
  Preset 12 - Bosphorus 1080p
TensorFlow:
  CPU - 16 - AlexNet
  CPU - 32 - AlexNet
  CPU - 16 - GoogLeNet
  CPU - 16 - ResNet-50
  CPU - 32 - GoogLeNet
  CPU - 32 - ResNet-50
GraphicsMagick:
  Swirl
  Rotate
  Sharpen
  Enhanced
  Resizing
  Noise-Gaussian
  HWB Color Space
C-Blosc:
  blosclz shuffle
  blosclz bitshuffle
SMHasher:
  wyhash
  SHA3-256
  Spooky32
  fasthash32
  FarmHash128
  t1ha2_atonce
  FarmHash32 x86_64 AVX
  t1ha0_aes_avx2 x86_64
  MeowHash x86_64 AES-NI
7-Zip Compression:
  Compression Rating
  Decompression Rating
WebP Image Encode:
  Default
  Quality 100
  Quality 100, Lossless
  Quality 100, Highest Compression
WebP2 Image Encode:
  Default
  Quality 75, Compression Effort 7
  Quality 95, Compression Effort 7
  Quality 100, Compression Effort 5
Facebook RocksDB:
  Rand Fill
  Rand Read
  Update Rand
  Seq Fill
  Rand Fill Sync
  Read While Writing
  Read Rand Write Rand
ClickHouse:
  100M Rows Web Analytics Dataset, First Run / Cold Cache
  100M Rows Web Analytics Dataset, Second Run
  100M Rows Web Analytics Dataset, Third Run
srsRAN
spaCy:
  en_core_web_lg
  en_core_web_trf
srsRAN:
  4G PHY_DL_Test 100 PRB MIMO 64-QAM
  4G PHY_DL_Test 100 PRB SISO 64-QAM
  4G PHY_DL_Test 100 PRB MIMO 256-QAM
  4G PHY_DL_Test 100 PRB SISO 256-QAM
  5G PHY_DL_NR Test 52 PRB SISO 64-QAM
BRL-CAD
oneDNN:
  IP Shapes 1D - f32 - CPU
  IP Shapes 3D - f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
Mobile Neural Network:
  nasnet
  mobilenetV3
  squeezenetv1.1
  resnet-v2-50
  SqueezeNetV1.0
  MobileNetV2_224
  mobilenet-v1-1.0
  inception-v3
NCNN:
  CPU - mobilenet
  CPU-v2-v2 - mobilenet-v2
  CPU-v3-v3 - mobilenet-v3
  CPU - shufflenet-v2
  CPU - mnasnet
  CPU - efficientnet-b0
  CPU - blazeface
  CPU - googlenet
  CPU - vgg16
  CPU - resnet18
  CPU - alexnet
  CPU - resnet50
  CPU - yolov4-tiny
  CPU - squeezenet_ssd
  CPU - regnety_400m
  CPU - vision_transformer
  CPU - FastestDet
  Vulkan GPU - mobilenet
  Vulkan GPU-v2-v2 - mobilenet-v2
  Vulkan GPU-v3-v3 - mobilenet-v3
  Vulkan GPU - shufflenet-v2
  Vulkan GPU - mnasnet
  Vulkan GPU - efficientnet-b0
  Vulkan GPU - blazeface
  Vulkan GPU - googlenet
  Vulkan GPU - vgg16
  Vulkan GPU - resnet18
  Vulkan GPU - alexnet
  Vulkan GPU - resnet50
  Vulkan GPU - yolov4-tiny
  Vulkan GPU - squeezenet_ssd
  Vulkan GPU - regnety_400m
  Vulkan GPU - vision_transformer
  Vulkan GPU - FastestDet
OpenVINO:
  Face Detection FP16 - CPU
  Person Detection FP16 - CPU
  Person Detection FP32 - CPU
  Vehicle Detection FP16 - CPU
  Face Detection FP16-INT8 - CPU
  Vehicle Detection FP16-INT8 - CPU
  Weld Porosity Detection FP16 - CPU
  Machine Translation EN To DE FP16 - CPU
  Weld Porosity Detection FP16-INT8 - CPU
  Person Vehicle Bike Detection FP16 - CPU
  Age Gender Recognition Retail 0013 FP16 - CPU
  Age Gender Recognition Retail 0013 FP16-INT8 - CPU
OpenFOAM:
  motorBike - Mesh Time
  motorBike - Execution Time
  drivaerFastback, Small Mesh Size - Mesh Time
  drivaerFastback, Small Mesh Size - Execution Time
Timed Node.js Compilation
Timed PHP Compilation
Timed CPython Compilation:
  Default
  Released Build, PGO + LTO Optimized
Y-Cruncher:
  1B
  500M
Timed Erlang/OTP Compilation
Timed Wasmer Compilation
FLAC Audio Encoding
Blender