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.

HTML result view exported from: https://openbenchmarking.org/result/2210101-NE-FDSDF056044&sro.

fdsdfProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionABCAMD 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 11.2.0ext43840x2160OpenBenchmarking.orgKernel Details- Transparent Huge Pages: madviseCompiler Details- --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 Processor Details- Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0x8600103Graphics Details- BAR1 / Visible vRAM Size: 512 MB - vBIOS Version: 113-RENOIR-026Python Details- Python 3.10.4Security Details- 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

fdsdfunvanquished: 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 - Mediumblosc: blosclz shuffleblosc: blosclz bitshufflesmhasher: wyhashsmhasher: wyhashsmhasher: SHA3-256smhasher: SHA3-256smhasher: Spooky32smhasher: Spooky32smhasher: fasthash32smhasher: fasthash32smhasher: FarmHash128smhasher: FarmHash128smhasher: t1ha2_atoncesmhasher: t1ha2_atoncesmhasher: FarmHash32 x86_64 AVXsmhasher: FarmHash32 x86_64 AVXsmhasher: t1ha0_aes_avx2 x86_64smhasher: t1ha0_aes_avx2 x86_64smhasher: MeowHash x86_64 AES-NIsmhasher: MeowHash x86_64 AES-NIopenfoam: motorBike - Mesh Timeopenfoam: motorBike - Execution Timeopenfoam: drivaerFastback, Small Mesh Size - Mesh Timeopenfoam: drivaerFastback, Small Mesh Size - Execution Timewebp: 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 5srsran: OFDM_Testsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB MIMO 64-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 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 MIMO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 4G PHY_DL_Test 100 PRB SISO 256-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMsrsran: 5G PHY_DL_NR Test 52 PRB SISO 64-QAMgraphics-magick: Swirlgraphics-magick: Rotategraphics-magick: Sharpengraphics-magick: Enhancedgraphics-magick: Resizinggraphics-magick: Noise-Gaussiangraphics-magick: HWB Color Spacequadray: 1 - 4Kquadray: 2 - 4Kquadray: 3 - 4Kquadray: 5 - 4Kquadray: 1 - 1080pquadray: 2 - 1080pquadray: 3 - 1080pquadray: 5 - 1080paom-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 1080pcompress-7zip: Compression Ratingcompress-7zip: Decompression Ratingbuild-nodejs: Time To Compilebuild-php: Time To Compilebuild-python: Defaultbuild-python: Released Build, PGO + LTO Optimizedy-cruncher: 1By-cruncher: 500Monednn: 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 - CPUbuild-erlang: Time To Compilebuild-wasmer: Time To Compileencode-flac: WAV To FLACclickhouse: 100M Rows Web Analytics Dataset, First Run / Cold Cacheclickhouse: 100M Rows Web Analytics Dataset, Second Runclickhouse: 100M Rows Web Analytics Dataset, Third Runtensorflow: CPU - 16 - AlexNettensorflow: CPU - 32 - AlexNettensorflow: CPU - 16 - GoogLeNettensorflow: CPU - 16 - ResNet-50tensorflow: CPU - 32 - GoogLeNettensorflow: CPU - 32 - ResNet-50spacy: en_core_web_lgspacy: en_core_web_trfmnn: 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 - FastestDetblender: BMW27 - CPU-Onlyopenvino: Face Detection FP16 - CPUopenvino: Face Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP16 - CPUopenvino: Person Detection FP32 - CPUopenvino: Person Detection FP32 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Vehicle Detection FP16 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Face Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Vehicle Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Weld Porosity Detection FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Machine Translation EN To DE FP16 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Weld Porosity Detection FP16-INT8 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Person Vehicle Bike Detection FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUopenvino: Age Gender Recognition Retail 0013 FP16-INT8 - CPUrocksdb: Rand Fillrocksdb: Rand Readrocksdb: Update Randrocksdb: Seq Fillrocksdb: Rand Fill Syncrocksdb: Read While Writingrocksdb: Read Rand Write Randbrl-cad: VGR Performance MetricABC139.1137.5130.084.7130.6131.6110.659.1141.9143.5137.1107.04431.42657.347037.3312.536298.271299.83529015.1325.01613404.2617.98032079.6631.06531569.7716.88755317.8020.935135421.2516.88776333.9327.99981.7149460.354106.194311434.158115.729.871.153.224.830.080.042.14128073333274.2106.2346.7151.5301.7114.0375.5160.498.454.73554961021596891885654.441.341.190.3213.165.074.371.270.132.9712.424.6115.9720.6720.770.367.1421.7814.0443.1150.9251.790.97218.47633.65543.9993.10650.243108.078165.90134151439471318.028118.95731.328363.742173.89876.92814.279020.89933.317744.8071451.340110.76499.6337948.59084.713855.920468686.148051.808637.518025.419.704538630.928063.856.79016195.381126.23720.35251.3556.1357.5723.7130.4713.214.4013.244.431016936817.5692.6275.10443.68310.5845.7434.83755.86132.9110.588.335.726.9813.672.4030.39123.2124.4216.8249.0453.9340.6015.88277.236.9915.695.906.414.525.8913.111.5611.5040.679.1611.3318.1621.9911.477.74495.395.16227.801.333002.500.874534.610.864596.8473.9753.972.091912.86143.3127.87157.6625.3313.53295.20207.5438.50164.9824.202727.542.883641.732.12549392255722312914716952392662110143482479590251137.8140.4132.984.7136.1134.6109.959.1140.8155.8134.2107.14493.62664.147283.8112.484298.661299.11529006.3525.01313509.0117.80932387.6330.58131618.3916.89955588.0920.827129449.6516.89776261.7727.92182.1255462.049106.189451440.016215.5810.291.153.234.740.080.042.15119400000268.5106.2338.3148.2301.7114.1382.2162.997.553.83495211011607121896174.471.361.190.3316.815.274.691.30.133.0212.824.6616.3921.2521.250.377.4922.7914.1743.2151.0651.470.97818.24929.80945.0993.12550.377110.721169.2734503445731310.614119.91131.452366.377173.32477.14714.192720.37513.24694.812751.358811.45959.5465348.52294.647175.833378629.977975.328686.177918.339.716778592.087887.66.78025195.071126.41220.23348.8655.2154.6023.8330.6813.214.3813.294.441004236816.9712.5594.87341.91110.2635.5744.73554.75733.8110.568.435.646.9313.672.430.35123.324.4716.950.2956.1140.6815.9278.886.8714.546.046.34.455.913.031.5511.5240.639.2611.4218.2319.9111.467.97496.555.13227.881.323014.860.864573.790.854638.1772.2455.272.11902.89144.2727.68159.4525.0513.25301.38210.537.94170.1223.472749.472.853684.92.1551829263380232924496870722653111892782464590606143.8139.413184.5137.2133.2109.959.2138.2140.6140.6107.54498.52666.247158.6612.484298.061301.4428973.0925.04613369.5118.02632090.831.23431514.4416.89254838.7420.935130637.9816.89976036.327.99880.6666461.84106.780271436.567315.289.851.153.224.770.080.042.17121700000268.3105.5348.5151.7300114.4372.8159.196.753.53465161011607121916054.471.361.20.3313.325.064.681.310.132.9912.224.6516.3921.1121.120.377.4121.4214.0943.1851.1551.850.9818.3430.1345.1193.14551.107110.407171.41934579448661311.328119.83431.154365.698172.68276.8314.280519.69293.231844.814751.349910.80499.6353648.4234.631355.792618640.737944.168614.667884.079.723658586.87857.716.79224193.117125.92319.93647.7355.9158.8423.8430.7113.264.4213.294.461002336817.2952.5234.78642.39310.2835.5194.75654.13532.7910.538.485.716.913.572.4330.36123.5424.3916.8449.1153.6840.2515.85273.346.9314.776.066.64.735.9813.031.5511.4240.729.3711.3618.2922.2611.497.83485.925.61226.991.323015.780.874489.790.874537.8774.0653.92.111890.83145.127.52158.8725.1413.35299.12210.2338166.9523.912747.242.863637.992.12551546261267752944467039462687113379882753990523OpenBenchmarking.org

Unvanquished

Resolution: 1920 x 1080 - Effects Quality: High

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

Unvanquished

Resolution: 1920 x 1200 - Effects Quality: High

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

Unvanquished

Resolution: 2560 x 1440 - Effects Quality: High

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

Unvanquished

Resolution: 3840 x 2160 - Effects Quality: High

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

Unvanquished

Resolution: 1920 x 1080 - Effects Quality: Ultra

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

Unvanquished

Resolution: 1920 x 1200 - Effects Quality: Ultra

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

Unvanquished

Resolution: 2560 x 1440 - Effects Quality: Ultra

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

Unvanquished

Resolution: 3840 x 2160 - Effects Quality: Ultra

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

Unvanquished

Resolution: 1920 x 1080 - Effects Quality: Medium

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

Unvanquished

Resolution: 1920 x 1200 - Effects Quality: Medium

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

Unvanquished

Resolution: 2560 x 1440 - Effects Quality: Medium

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

Unvanquished

Resolution: 3840 x 2160 - Effects Quality: Medium

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

C-Blosc

Test: blosclz shuffle

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

C-Blosc

Test: blosclz bitshuffle

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

Hash: wyhash

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

SMHasher

Hash: wyhash

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: wyhashABC3691215SE +/- 0.01, N = 312.5412.4812.481. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

SMHasher

Hash: SHA3-256

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

SMHasher

Hash: SHA3-256

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: SHA3-256ABC30060090012001500SE +/- 5.49, N = 31299.841299.121301.441. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

SMHasher

Hash: Spooky32

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

SMHasher

Hash: Spooky32

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: Spooky32ABC612182430SE +/- 0.04, N = 325.0225.0125.051. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

SMHasher

Hash: fasthash32

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

SMHasher

Hash: fasthash32

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: fasthash32ABC48121620SE +/- 0.03, N = 317.9817.8118.031. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

SMHasher

Hash: FarmHash128

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

SMHasher

Hash: FarmHash128

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: FarmHash128ABC714212835SE +/- 0.01, N = 331.0730.5831.231. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

SMHasher

Hash: t1ha2_atonce

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

SMHasher

Hash: t1ha2_atonce

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: t1ha2_atonceABC48121620SE +/- 0.00, N = 316.8916.9016.891. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

SMHasher

Hash: FarmHash32 x86_64 AVX

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

SMHasher

Hash: FarmHash32 x86_64 AVX

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: FarmHash32 x86_64 AVXABC510152025SE +/- 0.00, N = 320.9420.8320.941. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

SMHasher

Hash: t1ha0_aes_avx2 x86_64

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

SMHasher

Hash: t1ha0_aes_avx2 x86_64

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: t1ha0_aes_avx2 x86_64ABC48121620SE +/- 0.01, N = 316.8916.9016.901. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

SMHasher

Hash: MeowHash x86_64 AES-NI

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

SMHasher

Hash: MeowHash x86_64 AES-NI

OpenBenchmarking.orgcycles/hash, Fewer Is BetterSMHasher 2022-08-22Hash: MeowHash x86_64 AES-NIABC714212835SE +/- 0.01, N = 328.0027.9228.001. (CXX) g++ options: -march=native -O3 -flto -fno-fat-lto-objects

OpenFOAM

Input: motorBike - Mesh Time

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

OpenFOAM

Input: motorBike - Execution Time

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

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Mesh Time

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

OpenFOAM

Input: drivaerFastback, Small Mesh Size - Execution Time

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

WebP Image Encode

Encode Settings: Default

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

WebP Image Encode

Encode Settings: Quality 100

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

WebP Image Encode

Encode Settings: Quality 100, Lossless

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

WebP Image Encode

Encode Settings: Quality 100, Highest Compression

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

Encode Settings: Default

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

WebP2 Image Encode

Encode Settings: Quality 75, Compression Effort 7

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

WebP2 Image Encode

Encode Settings: Quality 95, Compression Effort 7

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

WebP2 Image Encode

Encode Settings: Quality 100, Compression Effort 5

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

srsRAN

Test: OFDM_Test

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

srsRAN

Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM

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

srsRAN

Test: 4G PHY_DL_Test 100 PRB MIMO 64-QAM

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

srsRAN

Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM

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

srsRAN

Test: 4G PHY_DL_Test 100 PRB SISO 64-QAM

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

srsRAN

Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM

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

srsRAN

Test: 4G PHY_DL_Test 100 PRB MIMO 256-QAM

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

srsRAN

Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM

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

srsRAN

Test: 4G PHY_DL_Test 100 PRB SISO 256-QAM

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

srsRAN

Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM

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

srsRAN

Test: 5G PHY_DL_NR Test 52 PRB SISO 64-QAM

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

GraphicsMagick

Operation: Swirl

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

GraphicsMagick

Operation: Rotate

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

GraphicsMagick

Operation: Sharpen

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

GraphicsMagick

Operation: Enhanced

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

GraphicsMagick

Operation: Resizing

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

GraphicsMagick

Operation: Noise-Gaussian

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

GraphicsMagick

Operation: HWB Color Space

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

QuadRay

Scene: 1 - Resolution: 4K

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

QuadRay

Scene: 2 - Resolution: 4K

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

QuadRay

Scene: 3 - Resolution: 4K

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

QuadRay

Scene: 5 - Resolution: 4K

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

QuadRay

Scene: 1 - Resolution: 1080p

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

QuadRay

Scene: 2 - Resolution: 1080p

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

QuadRay

Scene: 3 - Resolution: 1080p

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

QuadRay

Scene: 5 - Resolution: 1080p

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

AOM AV1

Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 4K

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

AOM AV1

Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 4K

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

AOM AV1

Encoder Mode: Speed 6 Realtime - Input: Bosphorus 4K

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

AOM AV1

Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 4K

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

AOM AV1

Encoder Mode: Speed 8 Realtime - Input: Bosphorus 4K

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

AOM AV1

Encoder Mode: Speed 9 Realtime - Input: Bosphorus 4K

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

AOM AV1

Encoder Mode: Speed 10 Realtime - Input: Bosphorus 4K

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

AOM AV1

Encoder Mode: Speed 0 Two-Pass - Input: Bosphorus 1080p

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

AOM AV1

Encoder Mode: Speed 4 Two-Pass - Input: Bosphorus 1080p

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

AOM AV1

Encoder Mode: Speed 6 Realtime - Input: Bosphorus 1080p

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

AOM AV1

Encoder Mode: Speed 6 Two-Pass - Input: Bosphorus 1080p

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

AOM AV1

Encoder Mode: Speed 8 Realtime - Input: Bosphorus 1080p

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

AOM AV1

Encoder Mode: Speed 9 Realtime - Input: Bosphorus 1080p

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

AOM AV1

Encoder Mode: Speed 10 Realtime - Input: Bosphorus 1080p

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

Encoder Mode: Preset 4 - Input: Bosphorus 4K

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

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 4K

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

SVT-AV1

Encoder Mode: Preset 10 - Input: Bosphorus 4K

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

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 4K

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

SVT-AV1

Encoder Mode: Preset 4 - Input: Bosphorus 1080p

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

SVT-AV1

Encoder Mode: Preset 8 - Input: Bosphorus 1080p

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

SVT-AV1

Encoder Mode: Preset 10 - Input: Bosphorus 1080p

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

SVT-AV1

Encoder Mode: Preset 12 - Input: Bosphorus 1080p

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

7-Zip Compression

Test: Compression Rating

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

7-Zip Compression

Test: Decompression Rating

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

Timed Node.js Compilation

Time To Compile

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

Timed PHP Compilation

Time To Compile

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

Timed CPython Compilation

Build Configuration: Default

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

Timed CPython Compilation

Build Configuration: Released Build, PGO + LTO Optimized

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

Y-Cruncher

Pi Digits To Calculate: 1B

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

Y-Cruncher

Pi Digits To Calculate: 500M

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

oneDNN

Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU

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

oneDNN

Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU

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

oneDNN

Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU

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

oneDNN

Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU

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

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

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

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU

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

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU

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

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

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

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU

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

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU

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

oneDNN

Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

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

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU

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

oneDNN

Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

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

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU

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

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU

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

oneDNN

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

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

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

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

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU

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

Timed Erlang/OTP Compilation

Time To Compile

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

Timed Wasmer Compilation

Time To Compile

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

WAV To FLAC

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

ClickHouse

100M Rows Web Analytics Dataset, First Run / Cold Cache

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).

ClickHouse

100M Rows Web Analytics Dataset, Second Run

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).

ClickHouse

100M Rows Web Analytics Dataset, Third Run

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).

TensorFlow

Device: CPU - Batch Size: 16 - Model: AlexNet

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

TensorFlow

Device: CPU - Batch Size: 32 - Model: AlexNet

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

TensorFlow

Device: CPU - Batch Size: 16 - Model: GoogLeNet

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

TensorFlow

Device: CPU - Batch Size: 16 - Model: ResNet-50

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

TensorFlow

Device: CPU - Batch Size: 32 - Model: GoogLeNet

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

TensorFlow

Device: CPU - Batch Size: 32 - Model: ResNet-50

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

spaCy

Model: en_core_web_lg

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

spaCy

Model: en_core_web_trf

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

Mobile Neural Network

Model: nasnet

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

Mobile Neural Network

Model: mobilenetV3

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

Mobile Neural Network

Model: squeezenetv1.1

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

Mobile Neural Network

Model: resnet-v2-50

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

Mobile Neural Network

Model: SqueezeNetV1.0

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

Mobile Neural Network

Model: MobileNetV2_224

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

Mobile Neural Network

Model: mobilenet-v1-1.0

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

Mobile Neural Network

Model: inception-v3

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

Target: CPU - Model: mobilenet

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

NCNN

Target: CPU-v2-v2 - Model: mobilenet-v2

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

NCNN

Target: CPU-v3-v3 - Model: mobilenet-v3

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

NCNN

Target: CPU - Model: shufflenet-v2

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

NCNN

Target: CPU - Model: mnasnet

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

NCNN

Target: CPU - Model: efficientnet-b0

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

NCNN

Target: CPU - Model: blazeface

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

NCNN

Target: CPU - Model: googlenet

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

NCNN

Target: CPU - Model: vgg16

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

NCNN

Target: CPU - Model: resnet18

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

NCNN

Target: CPU - Model: alexnet

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

NCNN

Target: CPU - Model: resnet50

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

NCNN

Target: CPU - Model: yolov4-tiny

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

NCNN

Target: CPU - Model: squeezenet_ssd

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

NCNN

Target: CPU - Model: regnety_400m

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

NCNN

Target: CPU - Model: vision_transformer

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

NCNN

Target: CPU - Model: FastestDet

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

NCNN

Target: Vulkan GPU - Model: mobilenet

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

NCNN

Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2

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

NCNN

Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3

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

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

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

NCNN

Target: Vulkan GPU - Model: mnasnet

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

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

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

NCNN

Target: Vulkan GPU - Model: blazeface

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

NCNN

Target: Vulkan GPU - Model: googlenet

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

NCNN

Target: Vulkan GPU - Model: vgg16

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

NCNN

Target: Vulkan GPU - Model: resnet18

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

NCNN

Target: Vulkan GPU - Model: alexnet

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

NCNN

Target: Vulkan GPU - Model: resnet50

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

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

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

NCNN

Target: Vulkan GPU - Model: squeezenet_ssd

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

NCNN

Target: Vulkan GPU - Model: regnety_400m

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

NCNN

Target: Vulkan GPU - Model: vision_transformer

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

NCNN

Target: Vulkan GPU - Model: FastestDet

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

Blender

Blend File: BMW27 - Compute: CPU-Only

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

OpenVINO

Model: Face Detection FP16 - Device: CPU

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

OpenVINO

Model: Face Detection FP16 - Device: CPU

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

OpenVINO

Model: Person Detection FP16 - Device: CPU

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

OpenVINO

Model: Person Detection FP16 - Device: CPU

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

OpenVINO

Model: Person Detection FP32 - Device: CPU

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

OpenVINO

Model: Person Detection FP32 - Device: CPU

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

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

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

OpenVINO

Model: Vehicle Detection FP16 - Device: CPU

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

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

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

OpenVINO

Model: Face Detection FP16-INT8 - Device: CPU

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

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

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

OpenVINO

Model: Vehicle Detection FP16-INT8 - Device: CPU

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

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

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

OpenVINO

Model: Weld Porosity Detection FP16 - Device: CPU

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

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

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

OpenVINO

Model: Machine Translation EN To DE FP16 - Device: CPU

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

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

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

OpenVINO

Model: Weld Porosity Detection FP16-INT8 - Device: CPU

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

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

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

OpenVINO

Model: Person Vehicle Bike Detection FP16 - Device: CPU

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

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

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

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU

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

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

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

OpenVINO

Model: Age Gender Recognition Retail 0013 FP16-INT8 - Device: CPU

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

Facebook RocksDB

Test: Random Fill

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

Facebook RocksDB

Test: Random Read

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

Facebook RocksDB

Test: Update Random

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

Facebook RocksDB

Test: Sequential Fill

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

Facebook RocksDB

Test: Random Fill Sync

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

Facebook RocksDB

Test: Read While Writing

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

Facebook RocksDB

Test: Read Random Write Random

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

BRL-CAD

VGR Performance Metric

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

Phoronix Test Suite v10.8.5