ryzen 7 3700x dec

AMD Ryzen 7 3700X 8-Core testing with a Gigabyte A320M-S2H-CF (F52a BIOS) and HIS AMD Radeon HD 7750/8740 / R7 250E 1GB on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2012245-HA-RYZEN737018&grs&sor.

ryzen 7 3700x decProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution1234AMD Ryzen 7 3700X 8-Core @ 3.60GHz (8 Cores / 16 Threads)Gigabyte A320M-S2H-CF (F52a BIOS)AMD Starship/Matisse8GB240GB TOSHIBA RC100HIS AMD Radeon HD 7750/8740 / R7 250E 1GBAMD Oland/Hainan/CapeVA2431Realtek RTL8111/8168/8411Ubuntu 20.045.8.1-050801-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.5 Mesa 20.0.8 (LLVM 10.0.0)GCC 9.3.0ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x8701021Python Details- Python 3.8.5Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

ryzen 7 3700x deconednn: IP Shapes 3D - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: IP Shapes 1D - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUcrafty: Elapsed Timeonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUncnn: CPU - blazefacesimdjson: PartialTweetsstockfish: Total Timeonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUcompress-lz4: 3 - Compression Speedonednn: Recurrent Neural Network Inference - f32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: IP Shapes 3D - f32 - CPUsimdjson: LargeRandopenvino: Person Detection 0106 FP16 - CPUastcenc: Fastbuild2: Time To Compilebrl-cad: VGR Performance Metriconednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUopenvino: Person Detection 0106 FP16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - f32 - CPUcompress-lz4: 9 - Compression Speedclomp: Static OMP Speedupasmfish: 1024 Hash Memory, 26 Depthncnn: CPU - googlenetbuild-clash: Time To Compilencnn: CPU-v3-v3 - mobilenet-v3openvino: Person Detection 0106 FP32 - CPUncnn: CPU-v2-v2 - mobilenet-v2encode-wavpack: WAV To WavPackncnn: CPU - squeezenet_ssdhpcg: sqlite-speedtest: Timed Time - Size 1,000ncnn: CPU - yolov4-tinybuild-eigen: Time To Compileopenvino: Face Detection 0106 FP16 - CPUrav1e: 1coremark: CoreMark Size 666 - Iterations Per Secondonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUncnn: CPU - mnasnetnode-web-tooling: ncnn: CPU - resnet18hmmer: Pfam Database Searchencode-ape: WAV To APEonednn: IP Shapes 1D - u8s8f32 - CPUphpbench: PHP Benchmark Suitebuild-ffmpeg: Time To Compilecompress-lz4: 1 - Decompression Speedncnn: CPU - mobilenetopenvino: Face Detection 0106 FP16 - CPUastcenc: Exhaustiverav1e: 5encode-ogg: WAV To Oggcompress-lz4: 1 - Compression Speedcompress-lz4: 9 - Decompression Speedncnn: CPU - resnet50compress-lz4: 3 - Decompression Speedncnn: CPU - efficientnet-b0openvino: Face Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUncnn: CPU - shufflenet-v2ncnn: CPU - vgg16rav1e: 6rav1e: 10encode-opus: WAV To Opus Encodeastcenc: Thoroughncnn: CPU - alexnetncnn: CPU - regnety_400mastcenc: Mediumopenvino: Face Detection 0106 FP32 - CPUsimdjson: DistinctUserIDsimdjson: Kostyaunpack-firefox: firefox-84.0.source.tar.xzonednn: Recurrent Neural Network Inference - u8s8f32 - CPU12341.923134.184226.419825.464010.606575.8885464716.9858721.88212.952460.592.380.69201607796.5137651.502647.286689.7320.39999.367570.432640.595.97119.0061209933848.173905.201.502691.723822.9250.6923.02750256217.02248.0325.231.526.1812.62423.514.1594059.24128.7574.1811.900.402353574.8580585.321095.1412.0617.87107.49911.5652.5997867420056.27710310.619.212105.37215.921.18618.8409360.339942.532.599919.08.142125.782589.436.7267.041.5873.4577.19426.6814.2018.678.681.880.70.5918.1292870.932.243474.464305.638075.096660.626385.2089205596.7314722.50392.906380.602.380.68196136776.4359450.732716.836618.4920.59869.211330.422586.646.02118.8881195403841.653828.391.532671.703843.1149.7723.42758226317.14249.5765.181.516.1212.59623.634.1395259.93429.0774.0941.910.402353496.4107085.305945.1112.1317.96107.86111.6012.6220766927956.16610300.319.362092.82216.191.18318.8999307.539964.532.619895.18.162128.472600.096.7067.231.5863.4507.21326.7014.1918.668.691.880.700.5918.2242680.982.356584.428275.717375.146790.596637.8688934256.7658422.17522.860080.582.310.67197370256.3761751.592700.056784.4420.90569.430650.432584.406.11117.1391211383906.573885.911.532656.263876.2750.4723.42797450816.86247.2135.251.526.2012.50823.414.1439659.49029.0874.0841.890.398352288.8388665.269365.1312.1717.80108.06811.5022.6151067090456.00910277.419.272107.64215.241.18518.8469368.219943.832.769901.38.172120.162598.966.7167.051.5823.4477.20426.6414.2218.698.691.880.700.5918.3952686.222.326804.925335.477025.069690.596685.1988230606.6981822.73442.847030.592.330.68199310006.3399752.102668.896715.2020.61169.229560.432579.885.99119.8411220613828.503872.861.532707.273804.0550.1623.22793585516.96245.5075.251.506.1912.46423.344.1894259.41329.0573.3461.910.400355783.6389135.289235.1612.0917.86107.12211.5182.6088966875256.45310229.819.282092.01214.691.17818.7739333.499903.232.589944.88.132129.832601.176.6966.951.5823.4557.21226.6414.2118.678.691.880.700.5918.7792877.16OpenBenchmarking.org

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU12430.53021.06041.59062.12082.651SE +/- 0.01532, N = 3SE +/- 0.00242, N = 3SE +/- 0.00821, N = 3SE +/- 0.00400, N = 31.923132.243472.326802.35658MIN: 1.77MIN: 2.16MIN: 2.26MIN: 2.271. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU13241.10822.21643.32464.43285.541SE +/- 0.00828, N = 3SE +/- 0.02300, N = 3SE +/- 0.00615, N = 3SE +/- 0.01211, N = 34.184224.428274.464304.92533MIN: 4.11MIN: 4.29MIN: 4.37MIN: 4.781. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU4231246810SE +/- 0.01309, N = 3SE +/- 0.02140, N = 3SE +/- 0.09674, N = 3SE +/- 0.03713, N = 35.477025.638075.717376.41982MIN: 5.33MIN: 5.46MIN: 5.44MIN: 6.161. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU42311.22942.45883.68824.91766.147SE +/- 0.02681, N = 3SE +/- 0.01540, N = 3SE +/- 0.03943, N = 3SE +/- 0.06268, N = 35.069695.096665.146795.46401MIN: 4.93MIN: 4.97MIN: 4.96MIN: 5.241. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenVINO

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

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU34120.13950.2790.41850.5580.6975SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 30.590.590.600.62

OpenVINO

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

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU431214002800420056007000SE +/- 48.76, N = 3SE +/- 37.70, N = 3SE +/- 104.51, N = 3SE +/- 45.76, N = 36685.196637.866575.886385.20

Crafty

Elapsed Time

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed Time23412M4M6M8M10MSE +/- 23311.86, N = 3SE +/- 39685.50, N = 3SE +/- 10375.27, N = 3SE +/- 40721.86, N = 389205598893425882306085464711. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU4231246810SE +/- 0.00633, N = 3SE +/- 0.01088, N = 3SE +/- 0.03140, N = 3SE +/- 0.00565, N = 36.698186.731476.765846.98587MIN: 6.61MIN: 6.65MIN: 6.66MIN: 6.91. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU1324510152025SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 321.8822.1822.5022.73MIN: 21.72MIN: 21.92MIN: 22.23MIN: 22.571. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU43210.66431.32861.99292.65723.3215SE +/- 0.00316, N = 3SE +/- 0.02222, N = 3SE +/- 0.02849, N = 3SE +/- 0.01867, N = 32.847032.860082.906382.95246MIN: 2.79MIN: 2.74MIN: 2.78MIN: 2.781. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU31420.1350.270.4050.540.675SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 30.580.590.590.60

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface34120.53551.0711.60652.1422.6775SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 32.312.332.382.38MIN: 2.25 / MAX: 2.91MIN: 2.27 / MAX: 2.43MIN: 2.27 / MAX: 19.28MIN: 2.27 / MAX: 2.521. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

simdjson

Throughput Test: PartialTweets

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets14230.15530.31060.46590.62120.7765SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 30.690.680.680.671. (CXX) g++ options: -O3 -pthread

Stockfish

Total Time

OpenBenchmarking.orgNodes Per Second, More Is BetterStockfish 12Total Time14324M8M12M16M20MSE +/- 110311.00, N = 3SE +/- 210476.75, N = 3SE +/- 129535.89, N = 3SE +/- 217803.95, N = 3201607791993100019737025196136771. (CXX) g++ options: -m64 -lpthread -fno-exceptions -std=c++17 -pedantic -O3 -msse -msse3 -mpopcnt -msse4.1 -mssse3 -msse2 -flto -flto=jobserver

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU4321246810SE +/- 0.00504, N = 3SE +/- 0.01483, N = 3SE +/- 0.04033, N = 3SE +/- 0.09124, N = 46.339976.376176.435946.51376MIN: 6.13MIN: 6.19MIN: 6.16MIN: 6.151. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

LZ4 Compression

Compression Level: 3 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Compression Speed43121224364860SE +/- 0.80, N = 3SE +/- 0.61, N = 3SE +/- 0.13, N = 3SE +/- 0.43, N = 352.1051.5951.5050.731. (CC) gcc options: -O3

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU14326001200180024003000SE +/- 6.44, N = 3SE +/- 3.97, N = 3SE +/- 13.71, N = 3SE +/- 7.32, N = 32647.282668.892700.052716.83MIN: 2623.28MIN: 2653.57MIN: 2664.68MIN: 2679.781. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenVINO

Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU341215003000450060007500SE +/- 15.68, N = 3SE +/- 68.15, N = 3SE +/- 45.45, N = 3SE +/- 24.26, N = 36784.446715.206689.736618.49

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU1243510152025SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 3SE +/- 0.02, N = 320.4020.6020.6120.91MIN: 19.84MIN: 20.17MIN: 20.13MIN: 20.61. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU24133691215SE +/- 0.03208, N = 3SE +/- 0.00920, N = 3SE +/- 0.02026, N = 3SE +/- 0.00670, N = 39.211339.229569.367579.43065MIN: 8.73MIN: 8.81MIN: 8.65MIN: 8.941. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

simdjson

Throughput Test: LargeRandom

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom43120.09680.19360.29040.38720.484SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.430.430.430.421. (CXX) g++ options: -O3 -pthread

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU43216001200180024003000SE +/- 1.17, N = 3SE +/- 3.37, N = 3SE +/- 5.45, N = 3SE +/- 53.72, N = 32579.882584.402586.642640.59

ASTC Encoder

Preset: Fast

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Fast1423246810SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 35.975.996.026.111. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile3214306090120150SE +/- 0.68, N = 3SE +/- 0.87, N = 3SE +/- 0.53, N = 3SE +/- 0.61, N = 3117.14118.89119.01119.84

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance Metric431230K60K90K120K150K1220611211381209931195401. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lXi -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU42138001600240032004000SE +/- 10.35, N = 3SE +/- 7.95, N = 3SE +/- 3.51, N = 3SE +/- 7.82, N = 33828.503841.653848.173906.57MIN: 3796.66MIN: 3822.65MIN: 3835.87MIN: 3881.331. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU24318001600240032004000SE +/- 15.67, N = 3SE +/- 13.24, N = 3SE +/- 18.76, N = 3SE +/- 9.21, N = 33828.393872.863885.913905.20MIN: 3789.68MIN: 3841.97MIN: 3857.9MIN: 3873.811. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenVINO

Model: Person Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU43210.34430.68861.03291.37721.7215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 31.531.531.531.50

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU32146001200180024003000SE +/- 21.78, N = 3SE +/- 11.78, N = 3SE +/- 16.87, N = 3SE +/- 17.38, N = 32656.262671.702691.722707.27MIN: 2609.52MIN: 2634.62MIN: 2656.78MIN: 2664.291. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU41238001600240032004000SE +/- 9.46, N = 3SE +/- 15.33, N = 3SE +/- 10.50, N = 3SE +/- 7.78, N = 33804.053822.923843.113876.27MIN: 3774.53MIN: 3794.35MIN: 3822.5MIN: 3849.361. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

LZ4 Compression

Compression Level: 9 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Compression Speed13421122334455SE +/- 0.61, N = 3SE +/- 0.56, N = 3SE +/- 0.24, N = 3SE +/- 0.09, N = 350.6950.4750.1649.771. (CC) gcc options: -O3

CLOMP

Static OMP Speedup

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup3241612182430SE +/- 0.25, N = 3SE +/- 0.15, N = 3SE +/- 0.09, N = 3SE +/- 0.33, N = 423.423.423.223.01. (CC) gcc options: -fopenmp -O3 -lm

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 Depth34216M12M18M24M30MSE +/- 375615.15, N = 3SE +/- 413508.74, N = 3SE +/- 392976.00, N = 4SE +/- 236042.73, N = 327974508279358552758226327502562

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet341248121620SE +/- 0.01, N = 3SE +/- 0.10, N = 3SE +/- 0.15, N = 3SE +/- 0.19, N = 316.8616.9617.0217.14MIN: 16.71 / MAX: 17.29MIN: 16.69 / MAX: 17.55MIN: 16.66 / MAX: 19.25MIN: 16.66 / MAX: 17.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Timed Clash Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Clash CompilationTime To Compile431250100150200250SE +/- 1.63, N = 3SE +/- 2.51, N = 3SE +/- 2.91, N = 3SE +/- 3.62, N = 3245.51247.21248.03249.58

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v321341.18132.36263.54394.72525.9065SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 35.185.235.255.25MIN: 4.98 / MAX: 6.67MIN: 5.15 / MAX: 6.2MIN: 5.16 / MAX: 10.04MIN: 5.12 / MAX: 14.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU31240.3420.6841.0261.3681.71SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.521.521.511.50

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v22143246810SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 36.126.186.196.20MIN: 5.85 / MAX: 7.6MIN: 6.06 / MAX: 8.19MIN: 6.03 / MAX: 10.92MIN: 6.09 / MAX: 8.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

WavPack Audio Encoding

WAV To WavPack

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack43213691215SE +/- 0.03, N = 5SE +/- 0.04, N = 5SE +/- 0.02, N = 5SE +/- 0.02, N = 512.4612.5112.6012.621. (CXX) g++ options: -rdynamic

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd4312612182430SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 3SE +/- 0.13, N = 323.3423.4123.5123.63MIN: 23.02 / MAX: 43.03MIN: 23.19 / MAX: 25.44MIN: 23.25 / MAX: 25.8MIN: 23.22 / MAX: 24.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

High Performance Conjugate Gradient

OpenBenchmarking.orgGFLOP/s, More Is BetterHigh Performance Conjugate Gradient 3.141320.94261.88522.82783.77044.713SE +/- 0.00261, N = 3SE +/- 0.01048, N = 3SE +/- 0.00914, N = 3SE +/- 0.00654, N = 34.189424.159404.143964.139521. (CXX) g++ options: -O3 -ffast-math -ftree-vectorize -pthread -lmpi_cxx -lmpi

SQLite Speedtest

Timed Time - Size 1,000

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,00014321326395265SE +/- 0.32, N = 3SE +/- 0.24, N = 3SE +/- 0.76, N = 3SE +/- 0.21, N = 359.2459.4159.4959.931. (CC) gcc options: -O2 -ldl -lz -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny1423714212835SE +/- 0.52, N = 3SE +/- 0.06, N = 3SE +/- 0.12, N = 3SE +/- 0.03, N = 328.7529.0529.0729.08MIN: 27.61 / MAX: 64.45MIN: 28.82 / MAX: 29.73MIN: 28.75 / MAX: 29.65MIN: 28.89 / MAX: 29.731. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Timed Eigen Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile43211632486480SE +/- 0.27, N = 3SE +/- 0.46, N = 3SE +/- 0.35, N = 3SE +/- 0.37, N = 373.3574.0874.0974.18

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU42130.42980.85961.28941.71922.149SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.911.911.901.89

rav1e

Speed: 1

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 121430.09050.1810.27150.3620.4525SE +/- 0.000, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.005, N = 30.4020.4020.4000.398

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second412380K160K240K320K400KSE +/- 2489.73, N = 3SE +/- 433.03, N = 3SE +/- 1791.95, N = 3SE +/- 551.56, N = 3355783.64353574.86353496.41352288.841. (CC) gcc options: -O2 -lrt" -lrt

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU34211.19722.39443.59164.78885.986SE +/- 0.01044, N = 3SE +/- 0.00180, N = 3SE +/- 0.01452, N = 3SE +/- 0.00290, N = 35.269365.289235.305945.32109MIN: 5.13MIN: 5.14MIN: 5.15MIN: 5.191. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet23141.1612.3223.4834.6445.805SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 35.115.135.145.16MIN: 5.01 / MAX: 6.04MIN: 5.04 / MAX: 6.51MIN: 5.05 / MAX: 6.45MIN: 5.06 / MAX: 6.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Node.js V8 Web Tooling Benchmark

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark32413691215SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 312.1712.1312.0912.061. Nodejs v10.19.0

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18341248121620SE +/- 0.01, N = 3SE +/- 0.06, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 317.8017.8617.8717.96MIN: 17.69 / MAX: 18.2MIN: 17.69 / MAX: 19.08MIN: 17.67 / MAX: 19.64MIN: 17.69 / MAX: 18.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search412320406080100SE +/- 0.02, N = 3SE +/- 0.21, N = 3SE +/- 0.08, N = 3SE +/- 0.11, N = 3107.12107.50107.86108.071. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Monkey Audio Encoding

WAV To APE

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE34123691215SE +/- 0.06, N = 5SE +/- 0.04, N = 5SE +/- 0.03, N = 5SE +/- 0.02, N = 511.5011.5211.5711.601. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU14320.591.181.772.362.95SE +/- 0.00707, N = 3SE +/- 0.00294, N = 3SE +/- 0.00458, N = 3SE +/- 0.00999, N = 32.599782.608892.615102.62207MIN: 2.54MIN: 2.55MIN: 2.55MIN: 2.531. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark Suite1324140K280K420K560K700KSE +/- 847.75, N = 3SE +/- 3673.00, N = 3SE +/- 2076.23, N = 3SE +/- 2049.04, N = 3674200670904669279668752

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile32141326395265SE +/- 0.30, N = 3SE +/- 0.79, N = 3SE +/- 0.35, N = 3SE +/- 0.38, N = 356.0156.1756.2856.45

LZ4 Compression

Compression Level: 1 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Decompression Speed12342K4K6K8K10KSE +/- 75.38, N = 3SE +/- 29.70, N = 3SE +/- 20.35, N = 3SE +/- 16.57, N = 310310.610300.310277.410229.81. (CC) gcc options: -O3

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet1342510152025SE +/- 0.16, N = 3SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.17, N = 319.2119.2719.2819.36MIN: 18.78 / MAX: 21.15MIN: 18.88 / MAX: 44.34MIN: 18.9 / MAX: 29.46MIN: 18.77 / MAX: 35.981. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenVINO

Model: Face Detection 0106 FP16 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU42135001000150020002500SE +/- 4.55, N = 3SE +/- 10.32, N = 3SE +/- 10.65, N = 3SE +/- 3.44, N = 32092.012092.822105.372107.64

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Exhaustive431250100150200250SE +/- 0.59, N = 3SE +/- 0.76, N = 3SE +/- 0.84, N = 3SE +/- 0.86, N = 3214.69215.24215.92216.191. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

rav1e

Speed: 5

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 513240.26690.53380.80071.06761.3345SE +/- 0.002, N = 3SE +/- 0.004, N = 3SE +/- 0.004, N = 3SE +/- 0.003, N = 31.1861.1851.1831.178

Ogg Audio Encoding

WAV To Ogg

OpenBenchmarking.orgSeconds, Fewer Is BetterOgg Audio Encoding 1.3.4WAV To Ogg4132510152025SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 318.7718.8418.8518.901. (CC) gcc options: -O2 -ffast-math -fsigned-char

LZ4 Compression

Compression Level: 1 - Compression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 1 - Compression Speed31422K4K6K8K10KSE +/- 58.52, N = 3SE +/- 28.64, N = 3SE +/- 17.75, N = 3SE +/- 35.67, N = 39368.219360.339333.499307.531. (CC) gcc options: -O3

LZ4 Compression

Compression Level: 9 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 9 - Decompression Speed23142K4K6K8K10KSE +/- 13.58, N = 3SE +/- 11.11, N = 3SE +/- 34.85, N = 3SE +/- 20.54, N = 39964.59943.89942.59903.21. (CC) gcc options: -O3

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet504123816243240SE +/- 0.20, N = 3SE +/- 0.18, N = 3SE +/- 0.24, N = 3SE +/- 0.27, N = 332.5832.5932.6132.76MIN: 32.05 / MAX: 36.85MIN: 32.08 / MAX: 33.46MIN: 31.97 / MAX: 34.1MIN: 32.03 / MAX: 34.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

LZ4 Compression

Compression Level: 3 - Decompression Speed

OpenBenchmarking.orgMB/s, More Is BetterLZ4 Compression 1.9.3Compression Level: 3 - Decompression Speed41322K4K6K8K10KSE +/- 31.18, N = 3SE +/- 22.08, N = 3SE +/- 18.23, N = 3SE +/- 28.51, N = 39944.89919.09901.39895.11. (CC) gcc options: -O3

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b04123246810SE +/- 0.03, N = 3SE +/- 0.01, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 38.138.148.168.17MIN: 8.03 / MAX: 8.49MIN: 8.02 / MAX: 8.83MIN: 7.88 / MAX: 9.12MIN: 8.06 / MAX: 8.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU31245001000150020002500SE +/- 12.17, N = 3SE +/- 7.97, N = 3SE +/- 10.63, N = 3SE +/- 5.04, N = 32120.162125.782128.472129.83

OpenVINO

Model: Person Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU13246001200180024003000SE +/- 2.01, N = 3SE +/- 10.76, N = 3SE +/- 12.53, N = 3SE +/- 11.32, N = 32589.432598.962600.092601.17

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v24231246810SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.696.706.716.72MIN: 6.58 / MAX: 7.67MIN: 6.61 / MAX: 7.44MIN: 6.63 / MAX: 7.73MIN: 6.65 / MAX: 7.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg1641321530456075SE +/- 0.12, N = 3SE +/- 0.13, N = 3SE +/- 0.08, N = 3SE +/- 0.08, N = 366.9567.0467.0567.23MIN: 66.49 / MAX: 77.52MIN: 66.37 / MAX: 76.88MIN: 66.64 / MAX: 85.47MIN: 66.76 / MAX: 69.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

rav1e

Speed: 6

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 612430.35710.71421.07131.42841.7855SE +/- 0.001, N = 3SE +/- 0.004, N = 3SE +/- 0.001, N = 3SE +/- 0.004, N = 31.5871.5861.5821.582

rav1e

Speed: 10

OpenBenchmarking.orgFrames Per Second, More Is Betterrav1e 0.4 AlphaSpeed: 1014230.77781.55562.33343.11123.889SE +/- 0.009, N = 3SE +/- 0.020, N = 3SE +/- 0.016, N = 3SE +/- 0.010, N = 33.4573.4553.4503.447

Opus Codec Encoding

WAV To Opus Encode

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode1342246810SE +/- 0.026, N = 5SE +/- 0.021, N = 5SE +/- 0.025, N = 5SE +/- 0.035, N = 57.1947.2047.2127.2131. (CXX) g++ options: -fvisibility=hidden -logg -lm

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Thorough3412612182430SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 326.6426.6426.6826.701. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet214348121620SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 314.1914.2014.2114.22MIN: 14.01 / MAX: 17.99MIN: 14 / MAX: 14.91MIN: 13.97 / MAX: 34.17MIN: 14.02 / MAX: 29.081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m2143510152025SE +/- 0.13, N = 3SE +/- 0.02, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 318.6618.6718.6718.69MIN: 18.24 / MAX: 19.92MIN: 18.49 / MAX: 19.91MIN: 18.39 / MAX: 19.85MIN: 18.54 / MAX: 19.881. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: Medium1234246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 38.688.698.698.691. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

OpenVINO

Model: Face Detection 0106 FP32 - Device: CPU

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU43210.4230.8461.2691.6922.115SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.881.881.881.88

simdjson

Throughput Test: DistinctUserID

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID43210.15750.3150.47250.630.7875SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.700.700.700.701. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: Kostya

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya43210.13280.26560.39840.53120.664SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.590.590.590.591. (CXX) g++ options: -O3 -pthread

Unpacking Firefox

Extracting: firefox-84.0.source.tar.xz

OpenBenchmarking.orgSeconds, Fewer Is BetterUnpacking Firefox 84.0Extracting: firefox-84.0.source.tar.xz1234510152025SE +/- 0.14, N = 20SE +/- 0.16, N = 4SE +/- 0.27, N = 20SE +/- 0.24, N = 518.1318.2218.4018.78

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU23146001200180024003000SE +/- 18.41, N = 3SE +/- 26.06, N = 3SE +/- 164.47, N = 15SE +/- 112.58, N = 152680.982686.222870.932877.16MIN: 2639.83MIN: 2623.98MIN: 2616.42MIN: 2678.011. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread


Phoronix Test Suite v10.8.4