EPYC 7502 Xmas Week

AMD EPYC 7502 32-Core testing with a ASRockRack EPYCD8 (P2.10 BIOS) and llvmpipe on Ubuntu 20.10 via the Phoronix Test Suite.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2012205-HA-EPYC7502X40
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Audio Encoding 2 Tests
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HPC - High Performance Computing 2 Tests
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Programmer / Developer System Benchmarks 4 Tests
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AMD EPYC 7502
December 20 2020
  2 Hours, 11 Minutes
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December 20 2020
  6 Hours, 49 Minutes
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December 20 2020
  6 Hours, 49 Minutes
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EPYC 7502 Xmas WeekProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionAMD EPYC 750223AMD EPYC 7502 32-Core @ 2.50GHz (32 Cores / 64 Threads)ASRockRack EPYCD8 (P2.10 BIOS)AMD Starship/Matisse126GB280GB INTEL SSDPED1D280GAllvmpipeAMD Starship/MatisseVE2282 x Intel I350Ubuntu 20.105.8.0-31-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.5 Mesa 20.2.1 (LLVM 11.0.0 256 bits)GCC 10.2.0ext41920x1080OpenBenchmarking.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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/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: 0x830101c Security 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 IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

AMD EPYC 750223Result OverviewPhoronix Test Suite100%101%103%104%105%CLOMPNCNNNode.js V8 Web Tooling BenchmarkTimed Eigen CompilationsimdjsonMonkey Audio EncodingBuild2oneDNNWavPack Audio Encoding

EPYC 7502 Xmas Weekclomp: Static OMP Speedupsimdjson: Kostyasimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDonednn: 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 - CPUbuild2: Time To Compilebuild-eigen: Time To Compileencode-ape: WAV To APEnode-web-tooling: ncnn: 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_400mencode-wavpack: WAV To WavPackAMD EPYC 75022364.40.510.340.570.581.785003.292781.278911.108064.116242.359553.832944.358802.373482.076523205.711136.513227.051155.990.5895313223.811160.031.2580286.08099.85414.4567.6926.0011.5110.6411.2410.5714.485.3524.4839.8316.6510.4731.1433.5328.3271.1116.06767.80.510.330.570.581.801693.369611.281021.115204.073112.337183.842094.394282.370252.074633182.891152.553242.451153.350.5910163201.101178.841.2615986.15199.07914.4807.7024.9611.5810.7211.3610.6415.185.2925.8439.7817.3711.1131.4234.1428.0871.0716.08365.30.510.330.570.581.780683.284831.274931.077674.111942.336273.790064.391192.378182.069083210.611172.013208.361176.180.5853623216.211167.551.2665186.37499.12314.4237.7725.1411.7510.7711.3210.8615.155.2725.4340.1017.2011.0931.1934.0627.6270.4516.072OpenBenchmarking.org

CLOMP

CLOMP is the C version of the Livermore OpenMP benchmark developed to measure OpenMP overheads and other performance impacts due to threading in order to influence future system designs. This particular test profile configuration is currently set to look at the OpenMP static schedule speed-up across all available CPU cores using the recommended test configuration. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP SpeedupAMD EPYC 7502321530456075SE +/- 0.59, N = 3SE +/- 1.04, N = 3SE +/- 0.83, N = 564.465.367.81. (CC) gcc options: -fopenmp -O3 -lm
OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP SpeedupAMD EPYC 7502321326395265Min: 63.3 / Avg: 64.43 / Max: 65.3Min: 63.6 / Avg: 65.3 / Max: 67.2Min: 64.7 / Avg: 67.82 / Max: 69.31. (CC) gcc options: -fopenmp -O3 -lm

simdjson

This is a benchmark of SIMDJSON, a high performance JSON parser. SIMDJSON aims to be the fastest JSON parser and is used by projects like Microsoft FishStore, Yandex ClickHouse, Shopify, and others. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: KostyaAMD EPYC 7502230.11480.22960.34440.45920.574SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.510.510.511. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: KostyaAMD EPYC 750223246810Min: 0.51 / Avg: 0.51 / Max: 0.51Min: 0.51 / Avg: 0.51 / Max: 0.51Min: 0.51 / Avg: 0.51 / Max: 0.511. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom23AMD EPYC 75020.07650.1530.22950.3060.3825SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.330.330.341. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom23AMD EPYC 750212345Min: 0.33 / Avg: 0.33 / Max: 0.34Min: 0.33 / Avg: 0.33 / Max: 0.33Min: 0.33 / Avg: 0.34 / Max: 0.341. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsAMD EPYC 7502230.12830.25660.38490.51320.6415SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.570.570.571. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsAMD EPYC 750223246810Min: 0.57 / Avg: 0.57 / Max: 0.57Min: 0.56 / Avg: 0.57 / Max: 0.57Min: 0.57 / Avg: 0.57 / Max: 0.571. (CXX) g++ options: -O3 -pthread

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDAMD EPYC 7502230.13050.2610.39150.5220.6525SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 50.580.580.581. (CXX) g++ options: -O3 -pthread
OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDAMD EPYC 750223246810Min: 0.58 / Avg: 0.58 / Max: 0.59Min: 0.58 / Avg: 0.58 / Max: 0.58Min: 0.55 / Avg: 0.58 / Max: 0.591. (CXX) g++ options: -O3 -pthread

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU2AMD EPYC 750230.40540.81081.21621.62162.027SE +/- 0.00485, N = 3SE +/- 0.00953, N = 3SE +/- 0.02001, N = 31.801691.785001.78068MIN: 1.52MIN: 1.52MIN: 1.521. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU2AMD EPYC 75023246810Min: 1.79 / Avg: 1.8 / Max: 1.81Min: 1.77 / Avg: 1.79 / Max: 1.8Min: 1.75 / Avg: 1.78 / Max: 1.821. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU2AMD EPYC 750230.75821.51642.27463.03283.791SE +/- 0.03752, N = 3SE +/- 0.01054, N = 3SE +/- 0.02370, N = 33.369613.292783.28483MIN: 2.94MIN: 2.89MIN: 2.881. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU2AMD EPYC 75023246810Min: 3.3 / Avg: 3.37 / Max: 3.43Min: 3.27 / Avg: 3.29 / Max: 3.31Min: 3.25 / Avg: 3.28 / Max: 3.331. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU2AMD EPYC 750230.28820.57640.86461.15281.441SE +/- 0.00229, N = 3SE +/- 0.00427, N = 3SE +/- 0.00289, N = 31.281021.278911.27493MIN: 1.13MIN: 1.13MIN: 1.131. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU2AMD EPYC 75023246810Min: 1.28 / Avg: 1.28 / Max: 1.28Min: 1.27 / Avg: 1.28 / Max: 1.29Min: 1.27 / Avg: 1.27 / Max: 1.281. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU2AMD EPYC 750230.25090.50180.75271.00361.2545SE +/- 0.00829, N = 3SE +/- 0.01806, N = 3SE +/- 0.00488, N = 31.115201.108061.07767MIN: 0.95MIN: 0.95MIN: 0.931. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU2AMD EPYC 75023246810Min: 1.1 / Avg: 1.12 / Max: 1.13Min: 1.09 / Avg: 1.11 / Max: 1.14Min: 1.07 / Avg: 1.08 / Max: 1.081. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUAMD EPYC 7502320.92621.85242.77863.70484.631SE +/- 0.00333, N = 3SE +/- 0.05263, N = 3SE +/- 0.01990, N = 34.116244.111944.07311MIN: 3.35MIN: 3.34MIN: 3.381. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUAMD EPYC 750232246810Min: 4.11 / Avg: 4.12 / Max: 4.12Min: 4.04 / Avg: 4.11 / Max: 4.21Min: 4.05 / Avg: 4.07 / Max: 4.111. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUAMD EPYC 7502230.53091.06181.59272.12362.6545SE +/- 0.01807, N = 3SE +/- 0.00438, N = 3SE +/- 0.00576, N = 32.359552.337182.33627MIN: 2.07MIN: 2.06MIN: 2.051. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUAMD EPYC 750223246810Min: 2.34 / Avg: 2.36 / Max: 2.4Min: 2.33 / Avg: 2.34 / Max: 2.34Min: 2.32 / Avg: 2.34 / Max: 2.341. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU2AMD EPYC 750230.86451.7292.59353.4584.3225SE +/- 0.04927, N = 3SE +/- 0.01461, N = 3SE +/- 0.01436, N = 33.842093.832943.79006MIN: 3.52MIN: 3.49MIN: 3.511. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU2AMD EPYC 75023246810Min: 3.79 / Avg: 3.84 / Max: 3.94Min: 3.8 / Avg: 3.83 / Max: 3.85Min: 3.76 / Avg: 3.79 / Max: 3.811. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU23AMD EPYC 75020.98871.97742.96613.95484.9435SE +/- 0.01475, N = 3SE +/- 0.01128, N = 3SE +/- 0.02731, N = 34.394284.391194.35880MIN: 3.89MIN: 3.87MIN: 3.891. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU23AMD EPYC 7502246810Min: 4.37 / Avg: 4.39 / Max: 4.41Min: 4.37 / Avg: 4.39 / Max: 4.4Min: 4.31 / Avg: 4.36 / Max: 4.41. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU3AMD EPYC 750220.53511.07021.60532.14042.6755SE +/- 0.01179, N = 3SE +/- 0.00748, N = 3SE +/- 0.00493, N = 32.378182.373482.37025MIN: 2.08MIN: 2.08MIN: 2.071. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU3AMD EPYC 75022246810Min: 2.36 / Avg: 2.38 / Max: 2.4Min: 2.36 / Avg: 2.37 / Max: 2.39Min: 2.36 / Avg: 2.37 / Max: 2.381. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUAMD EPYC 7502230.46720.93441.40161.86882.336SE +/- 0.03185, N = 3SE +/- 0.00900, N = 3SE +/- 0.00643, N = 32.076522.074632.06908MIN: 1.87MIN: 1.85MIN: 1.861. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUAMD EPYC 750223246810Min: 2.04 / Avg: 2.08 / Max: 2.14Min: 2.06 / Avg: 2.07 / Max: 2.09Min: 2.06 / Avg: 2.07 / Max: 2.081. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU3AMD EPYC 750227001400210028003500SE +/- 12.01, N = 3SE +/- 4.27, N = 3SE +/- 8.61, N = 33210.613205.713182.89MIN: 3095.23MIN: 3088.13MIN: 3043.081. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU3AMD EPYC 750226001200180024003000Min: 3188.77 / Avg: 3210.61 / Max: 3230.19Min: 3200.39 / Avg: 3205.71 / Max: 3214.16Min: 3171.81 / Avg: 3182.89 / Max: 3199.851. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU32AMD EPYC 750230060090012001500SE +/- 6.06, N = 3SE +/- 8.23, N = 3SE +/- 4.77, N = 31172.011152.551136.51MIN: 1086.64MIN: 1088.54MIN: 1054.181. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU32AMD EPYC 75022004006008001000Min: 1161.61 / Avg: 1172.01 / Max: 1182.59Min: 1137.54 / Avg: 1152.55 / Max: 1165.92Min: 1129.16 / Avg: 1136.51 / Max: 1145.441. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU2AMD EPYC 750237001400210028003500SE +/- 26.07, N = 3SE +/- 13.02, N = 3SE +/- 11.53, N = 33242.453227.053208.36MIN: 3103.97MIN: 3076.05MIN: 3078.811. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU2AMD EPYC 750236001200180024003000Min: 3193.98 / Avg: 3242.45 / Max: 3283.32Min: 3201.5 / Avg: 3227.05 / Max: 3244.21Min: 3193.62 / Avg: 3208.36 / Max: 3231.081. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU3AMD EPYC 7502230060090012001500SE +/- 5.46, N = 3SE +/- 4.70, N = 3SE +/- 6.97, N = 31176.181155.991153.35MIN: 1101.03MIN: 1062.75MIN: 1073.91. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU3AMD EPYC 750222004006008001000Min: 1166.75 / Avg: 1176.18 / Max: 1185.66Min: 1150.13 / Avg: 1155.99 / Max: 1165.29Min: 1139.44 / Avg: 1153.35 / Max: 1161.051. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU2AMD EPYC 750230.1330.2660.3990.5320.665SE +/- 0.001851, N = 3SE +/- 0.000625, N = 3SE +/- 0.000678, N = 30.5910160.5895310.585362MIN: 0.52MIN: 0.52MIN: 0.521. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU2AMD EPYC 75023246810Min: 0.59 / Avg: 0.59 / Max: 0.59Min: 0.59 / Avg: 0.59 / Max: 0.59Min: 0.58 / Avg: 0.59 / Max: 0.591. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUAMD EPYC 7502327001400210028003500SE +/- 6.02, N = 3SE +/- 10.71, N = 3SE +/- 8.44, N = 33223.813216.213201.10MIN: 3103.68MIN: 3096.38MIN: 3085.771. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUAMD EPYC 7502326001200180024003000Min: 3212.09 / Avg: 3223.81 / Max: 3232.03Min: 3194.79 / Avg: 3216.21 / Max: 3227.26Min: 3185.04 / Avg: 3201.1 / Max: 3213.611. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU23AMD EPYC 750230060090012001500SE +/- 6.76, N = 3SE +/- 7.10, N = 3SE +/- 16.25, N = 31178.841167.551160.03MIN: 1109.11MIN: 1086.3MIN: 1081.431. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU23AMD EPYC 75022004006008001000Min: 1167.94 / Avg: 1178.84 / Max: 1191.22Min: 1156.36 / Avg: 1167.55 / Max: 1180.71Min: 1138.57 / Avg: 1160.03 / Max: 1191.891. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU32AMD EPYC 75020.2850.570.8551.141.425SE +/- 0.00287, N = 3SE +/- 0.00063, N = 3SE +/- 0.00653, N = 31.266511.261591.25802MIN: 1.07MIN: 1.07MIN: 1.071. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread
OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU32AMD EPYC 7502246810Min: 1.26 / Avg: 1.27 / Max: 1.27Min: 1.26 / Avg: 1.26 / Max: 1.26Min: 1.25 / Avg: 1.26 / Max: 1.271. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Build2

This test profile measures the time to bootstrap/install the build2 C++ build toolchain from source. Build2 is a cross-platform build toolchain for C/C++ code and features Cargo-like features. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile32AMD EPYC 750220406080100SE +/- 0.06, N = 3SE +/- 0.19, N = 3SE +/- 0.11, N = 386.3786.1586.08
OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile32AMD EPYC 75021632486480Min: 86.27 / Avg: 86.37 / Max: 86.47Min: 85.84 / Avg: 86.15 / Max: 86.49Min: 85.88 / Avg: 86.08 / Max: 86.28

Timed Eigen Compilation

This test times how long it takes to build all Eigen examples. The Eigen examples are compiled serially. Eigen is a C++ template library for linear algebra. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To CompileAMD EPYC 75023220406080100SE +/- 0.30, N = 3SE +/- 0.13, N = 3SE +/- 0.00, N = 399.8599.1299.08
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To CompileAMD EPYC 75023220406080100Min: 99.35 / Avg: 99.85 / Max: 100.39Min: 98.93 / Avg: 99.12 / Max: 99.38Min: 99.07 / Avg: 99.08 / Max: 99.09

Monkey Audio Encoding

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE2AMD EPYC 7502348121620SE +/- 0.02, N = 5SE +/- 0.03, N = 5SE +/- 0.02, N = 514.4814.4614.421. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt
OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE2AMD EPYC 7502348121620Min: 14.39 / Avg: 14.48 / Max: 14.54Min: 14.39 / Avg: 14.46 / Max: 14.54Min: 14.36 / Avg: 14.42 / Max: 14.471. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

Node.js V8 Web Tooling Benchmark

Running the V8 project's Web-Tooling-Benchmark under Node.js. The Web-Tooling-Benchmark stresses JavaScript-related workloads common to web developers like Babel and TypeScript and Babylon. This test profile can test the system's JavaScript performance with Node.js. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkAMD EPYC 750223246810SE +/- 0.05, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 37.697.707.771. Nodejs v12.18.2
OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkAMD EPYC 7502233691215Min: 7.63 / Avg: 7.69 / Max: 7.78Min: 7.62 / Avg: 7.7 / Max: 7.77Min: 7.7 / Avg: 7.77 / Max: 7.911. Nodejs v12.18.2

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenetAMD EPYC 750232612182430SE +/- 0.35, N = 3SE +/- 0.25, N = 15SE +/- 0.21, N = 1526.0025.1424.96MIN: 23.4 / MAX: 80.59MIN: 21.73 / MAX: 94.13MIN: 21.51 / MAX: 105.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenetAMD EPYC 750232612182430Min: 25.3 / Avg: 26 / Max: 26.41Min: 23.48 / Avg: 25.14 / Max: 27.02Min: 23.89 / Avg: 24.96 / Max: 27.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v232AMD EPYC 75023691215SE +/- 0.17, N = 15SE +/- 0.11, N = 15SE +/- 0.30, N = 311.7511.5811.51MIN: 9.44 / MAX: 142.56MIN: 9.53 / MAX: 160.97MIN: 9.54 / MAX: 78.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v232AMD EPYC 75023691215Min: 10.83 / Avg: 11.75 / Max: 13.44Min: 11.07 / Avg: 11.58 / Max: 12.38Min: 11.02 / Avg: 11.51 / Max: 12.041. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v332AMD EPYC 75023691215SE +/- 0.13, N = 15SE +/- 0.12, N = 15SE +/- 0.32, N = 310.7710.7210.64MIN: 8.87 / MAX: 120.09MIN: 8.74 / MAX: 196.77MIN: 8.92 / MAX: 145.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v332AMD EPYC 75023691215Min: 10.1 / Avg: 10.77 / Max: 12.01Min: 10.04 / Avg: 10.72 / Max: 11.81Min: 10.11 / Avg: 10.64 / Max: 11.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v223AMD EPYC 75023691215SE +/- 0.09, N = 15SE +/- 0.09, N = 15SE +/- 0.05, N = 311.3611.3211.24MIN: 9.54 / MAX: 133.63MIN: 9.56 / MAX: 126.49MIN: 9.67 / MAX: 30.091. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v223AMD EPYC 75023691215Min: 10.93 / Avg: 11.36 / Max: 12.07Min: 10.89 / Avg: 11.32 / Max: 12.24Min: 11.14 / Avg: 11.24 / Max: 11.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet32AMD EPYC 75023691215SE +/- 0.17, N = 15SE +/- 0.09, N = 15SE +/- 0.19, N = 310.8610.6410.57MIN: 8.82 / MAX: 109.38MIN: 8.68 / MAX: 98.56MIN: 8.64 / MAX: 110.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet32AMD EPYC 75023691215Min: 9.92 / Avg: 10.86 / Max: 12.35Min: 10.15 / Avg: 10.64 / Max: 11.46Min: 10.28 / Avg: 10.57 / Max: 10.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b023AMD EPYC 750248121620SE +/- 0.17, N = 15SE +/- 0.11, N = 15SE +/- 0.01, N = 315.1815.1514.48MIN: 12.52 / MAX: 114.66MIN: 12.72 / MAX: 99.3MIN: 12.55 / MAX: 38.151. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b023AMD EPYC 750248121620Min: 14.05 / Avg: 15.18 / Max: 16.69Min: 14.47 / Avg: 15.15 / Max: 16.02Min: 14.46 / Avg: 14.48 / Max: 14.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazefaceAMD EPYC 7502231.20382.40763.61144.81526.019SE +/- 0.27, N = 3SE +/- 0.04, N = 15SE +/- 0.07, N = 155.355.295.27MIN: 4.5 / MAX: 76.73MIN: 4.5 / MAX: 68.13MIN: 4.45 / MAX: 84.291. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazefaceAMD EPYC 750223246810Min: 5.08 / Avg: 5.35 / Max: 5.9Min: 5.04 / Avg: 5.29 / Max: 5.6Min: 4.98 / Avg: 5.27 / Max: 6.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet23AMD EPYC 7502612182430SE +/- 0.45, N = 15SE +/- 0.38, N = 14SE +/- 0.79, N = 325.8425.4324.48MIN: 20.85 / MAX: 143.14MIN: 21.61 / MAX: 125.03MIN: 20.77 / MAX: 294.451. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet23AMD EPYC 7502612182430Min: 22.52 / Avg: 25.84 / Max: 28.67Min: 22.94 / Avg: 25.43 / Max: 28.32Min: 23.19 / Avg: 24.48 / Max: 25.911. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg163AMD EPYC 75022918273645SE +/- 0.29, N = 15SE +/- 0.37, N = 3SE +/- 0.27, N = 1540.1039.8339.78MIN: 33.09 / MAX: 166.1MIN: 34.39 / MAX: 142.77MIN: 33.62 / MAX: 143.491. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg163AMD EPYC 75022816243240Min: 37.53 / Avg: 40.1 / Max: 42.04Min: 39.1 / Avg: 39.83 / Max: 40.22Min: 38.19 / Avg: 39.78 / Max: 42.071. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet1823AMD EPYC 750248121620SE +/- 0.15, N = 15SE +/- 0.17, N = 15SE +/- 0.32, N = 317.3717.2016.65MIN: 13.34 / MAX: 144.37MIN: 13.21 / MAX: 165.22MIN: 13.39 / MAX: 102.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet1823AMD EPYC 750248121620Min: 16.24 / Avg: 17.37 / Max: 18.25Min: 15.68 / Avg: 17.2 / Max: 18.2Min: 16.12 / Avg: 16.65 / Max: 17.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet23AMD EPYC 75023691215SE +/- 0.16, N = 15SE +/- 0.15, N = 15SE +/- 0.16, N = 311.1111.0910.47MIN: 8.31 / MAX: 133.74MIN: 8.7 / MAX: 147.45MIN: 8.95 / MAX: 25.751. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet23AMD EPYC 75023691215Min: 9.48 / Avg: 11.11 / Max: 11.88Min: 10.35 / Avg: 11.09 / Max: 12.12Min: 10.17 / Avg: 10.47 / Max: 10.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet5023AMD EPYC 7502714212835SE +/- 0.25, N = 15SE +/- 0.29, N = 15SE +/- 0.56, N = 331.4231.1931.14MIN: 26.5 / MAX: 221.62MIN: 26.19 / MAX: 194.93MIN: 26.59 / MAX: 151.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet5023AMD EPYC 7502714212835Min: 29.79 / Avg: 31.42 / Max: 33.09Min: 29.61 / Avg: 31.19 / Max: 33.08Min: 30.28 / Avg: 31.14 / Max: 32.21. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny23AMD EPYC 7502816243240SE +/- 0.21, N = 15SE +/- 0.26, N = 15SE +/- 0.52, N = 334.1434.0633.53MIN: 29.19 / MAX: 174.89MIN: 28.7 / MAX: 151.01MIN: 29.02 / MAX: 105.061. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny23AMD EPYC 7502714212835Min: 32.38 / Avg: 34.14 / Max: 35.24Min: 31.45 / Avg: 34.06 / Max: 35.19Min: 32.65 / Avg: 33.53 / Max: 34.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssdAMD EPYC 750223714212835SE +/- 0.09, N = 3SE +/- 0.18, N = 15SE +/- 0.19, N = 1528.3228.0827.62MIN: 25.19 / MAX: 156.92MIN: 24.38 / MAX: 175.25MIN: 24.14 / MAX: 2081. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssdAMD EPYC 750223612182430Min: 28.15 / Avg: 28.32 / Max: 28.46Min: 26.62 / Avg: 28.08 / Max: 29.11Min: 26.36 / Avg: 27.62 / Max: 28.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400mAMD EPYC 7502231632486480SE +/- 2.12, N = 3SE +/- 0.31, N = 15SE +/- 0.34, N = 1571.1171.0770.45MIN: 63.73 / MAX: 270.85MIN: 63.46 / MAX: 200.04MIN: 63 / MAX: 192.171. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread
OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400mAMD EPYC 7502231428425670Min: 67.37 / Avg: 71.11 / Max: 74.72Min: 68.73 / Avg: 71.07 / Max: 72.93Min: 68.21 / Avg: 70.45 / Max: 73.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

WavPack Audio Encoding

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack23AMD EPYC 750248121620SE +/- 0.01, N = 5SE +/- 0.00, N = 5SE +/- 0.00, N = 516.0816.0716.071. (CXX) g++ options: -rdynamic
OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack23AMD EPYC 750248121620Min: 16.07 / Avg: 16.08 / Max: 16.1Min: 16.06 / Avg: 16.07 / Max: 16.08Min: 16.06 / Avg: 16.07 / Max: 16.081. (CXX) g++ options: -rdynamic