AMD EPYC 7601 Xmas 2020

AMD EPYC 7601 32-Core testing with a TYAN B8026T70AE24HR (V1.02.B10 BIOS) and llvmpipe on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2012222-HA-AMDEPYC7628&grr.

AMD EPYC 7601 Xmas 2020ProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionRun 1Run 2Run 3AMD EPYC 7601 32-Core @ 2.20GHz (32 Cores / 64 Threads)TYAN B8026T70AE24HR (V1.02.B10 BIOS)AMD 17h126GB280GB INTEL SSDPE21D280GAllvmpipeVE2282 x Broadcom NetXtreme BCM5720 2-port PCIeUbuntu 20.045.4.0-53-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.83.3 Mesa 20.0.8 (LLVM 10.0.0 128 bits)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: 0x8001250 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 STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

AMD EPYC 7601 Xmas 2020ncnn: CPU - regnety_400mncnn: CPU - squeezenet_ssdncnn: CPU - yolov4-tinyncnn: CPU - resnet50ncnn: CPU - alexnetncnn: CPU - resnet18ncnn: CPU - vgg16ncnn: CPU - googlenetncnn: CPU - blazefacencnn: CPU - efficientnet-b0ncnn: CPU - mnasnetncnn: CPU - shufflenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU - mobilenetonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUhmmer: Pfam Database Searchnode-web-tooling: build-eigen: Time To Compilebuild2: Time To Compilesqlite-speedtest: Timed Time - Size 1,000onednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: IP Shapes 1D - f32 - CPUclomp: Static OMP Speedupsimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUsimdjson: Kostyaonednn: IP Shapes 3D - f32 - CPUbuild-ffmpeg: Time To Compileencode-ape: WAV To APEencode-wavpack: WAV To WavPackonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUcoremark: CoreMark Size 666 - Iterations Per Secondonednn: Deconvolution Batch shapes_1d - f32 - CPUencode-opus: WAV To Opus Encodeonednn: IP Shapes 1D - u8s8f32 - CPUmafft: Multiple Sequence Alignment - LSU RNAonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPURun 1Run 2Run 3117.0246.6857.9960.7833.2041.83100.7248.067.7922.1916.1717.5116.3017.4243.1010732.7310583.1010689.163300.073293.493332.79200.2956.78120.016102.29590.1164.602485.3477157.10.280.360.371.712200.3312.417739.09418.34617.3191.78892879248.0226384.0328110.1872.6793715.01823.30309.044393.5651118.51284.41314119.2346.8955.8059.2430.1945.7094.3346.997.8922.2415.7617.3517.4819.4241.8410747.510647.6010915.653434.143322.683312.30199.7086.74119.981102.58890.3204.714734.4914857.70.280.360.371.740560.3311.769939.10818.33217.3121.77953879237.1220784.0071310.2152.6851115.14722.45769.038933.5597018.68004.37097118.4844.8156.5259.4931.9243.6488.5549.817.9023.2216.2616.9416.9118.2243.2610314.2210812.5411077.93327.913393.823405.82200.7536.85120.191102.35490.1074.228414.3351957.80.280.360.371.665120.3312.085639.18918.41617.2921.79366876909.9500014.0182710.1952.6650915.02323.21209.087673.5715318.65564.40049OpenBenchmarking.org

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400mRun 1Run 2Run 3306090120150SE +/- 1.56, N = 12SE +/- 2.16, N = 12SE +/- 1.61, N = 12117.02119.23118.48MIN: 109.2 / MAX: 1631.71MIN: 109.72 / MAX: 3748.32MIN: 109.05 / MAX: 2000.571. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssdRun 1Run 2Run 31122334455SE +/- 1.46, N = 12SE +/- 1.43, N = 12SE +/- 1.26, N = 1246.6846.8944.81MIN: 37.34 / MAX: 524.93MIN: 37.8 / MAX: 531.21MIN: 37.3 / MAX: 531.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tinyRun 1Run 2Run 31326395265SE +/- 1.01, N = 12SE +/- 0.72, N = 12SE +/- 0.57, N = 1257.9955.8056.52MIN: 46.53 / MAX: 296.18MIN: 46.04 / MAX: 269.61MIN: 44.78 / MAX: 275.311. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50Run 1Run 2Run 31428425670SE +/- 2.69, N = 12SE +/- 1.83, N = 12SE +/- 3.15, N = 1260.7859.2459.49MIN: 38.67 / MAX: 633.7MIN: 38.46 / MAX: 770.44MIN: 38.42 / MAX: 662.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnetRun 1Run 2Run 3816243240SE +/- 1.65, N = 12SE +/- 1.11, N = 12SE +/- 1.62, N = 1233.2030.1931.92MIN: 18.26 / MAX: 171.51MIN: 16.07 / MAX: 156.27MIN: 16.26 / MAX: 163.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18Run 1Run 2Run 31020304050SE +/- 1.98, N = 12SE +/- 3.66, N = 12SE +/- 2.71, N = 1241.8345.7043.64MIN: 23.36 / MAX: 249.26MIN: 27.44 / MAX: 248.59MIN: 27.63 / MAX: 246.761. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16Run 1Run 2Run 320406080100SE +/- 5.01, N = 12SE +/- 3.64, N = 12SE +/- 3.70, N = 12100.7294.3388.55MIN: 45.51 / MAX: 338.45MIN: 47.38 / MAX: 304.01MIN: 43.77 / MAX: 279.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenetRun 1Run 2Run 31122334455SE +/- 2.27, N = 12SE +/- 2.77, N = 12SE +/- 2.45, N = 1248.0646.9949.81MIN: 32.75 / MAX: 604.8MIN: 33.26 / MAX: 605.84MIN: 32.24 / MAX: 613.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazefaceRun 1Run 2Run 3246810SE +/- 0.06, N = 12SE +/- 0.06, N = 12SE +/- 0.09, N = 127.797.897.90MIN: 7.48 / MAX: 49.5MIN: 7.55 / MAX: 80.4MIN: 7.46 / MAX: 59.211. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0Run 1Run 2Run 3612182430SE +/- 0.37, N = 12SE +/- 0.31, N = 12SE +/- 0.56, N = 1222.1922.2423.22MIN: 20.26 / MAX: 496.03MIN: 20.84 / MAX: 524.85MIN: 20.7 / MAX: 525.921. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnetRun 1Run 2Run 348121620SE +/- 0.48, N = 12SE +/- 0.24, N = 12SE +/- 0.43, N = 1216.1715.7616.26MIN: 14.62 / MAX: 428.63MIN: 14.78 / MAX: 415.5MIN: 14.79 / MAX: 427.391. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v2Run 1Run 2Run 348121620SE +/- 0.42, N = 12SE +/- 0.51, N = 12SE +/- 0.13, N = 1217.5117.3516.94MIN: 15.95 / MAX: 355.59MIN: 16 / MAX: 357.5MIN: 16.11 / MAX: 120.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3Run 1Run 2Run 348121620SE +/- 0.56, N = 12SE +/- 0.96, N = 12SE +/- 0.59, N = 1216.3017.4816.91MIN: 14.83 / MAX: 444.14MIN: 14.75 / MAX: 525.02MIN: 14.94 / MAX: 447.341. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

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

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v2Run 1Run 2Run 3510152025SE +/- 0.22, N = 12SE +/- 1.19, N = 12SE +/- 0.54, N = 1217.4219.4218.22MIN: 15.79 / MAX: 249.25MIN: 15.84 / MAX: 439.61MIN: 15.35 / MAX: 435.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenetRun 1Run 2Run 31020304050SE +/- 1.57, N = 12SE +/- 1.10, N = 12SE +/- 1.07, N = 1243.1041.8443.26MIN: 35.09 / MAX: 501.41MIN: 35.73 / MAX: 496.11MIN: 34.82 / MAX: 511.891. (CXX) g++ options: -O3 -rdynamic -lgomp -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: CPURun 1Run 2Run 32K4K6K8K10KSE +/- 164.15, N = 12SE +/- 128.18, N = 12SE +/- 184.49, N = 1310732.7310747.5010314.22MIN: 8370.79MIN: 9600.6MIN: 7551.611. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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: CPURun 1Run 2Run 32K4K6K8K10KSE +/- 206.22, N = 10SE +/- 204.17, N = 12SE +/- 330.55, N = 1210583.1010647.6010812.54MIN: 9226.33MIN: 8942.86MIN: 8507.261. (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: CPURun 1Run 2Run 32K4K6K8K10KSE +/- 258.76, N = 9SE +/- 182.83, N = 12SE +/- 137.39, N = 410689.1610915.6511077.90MIN: 9144.24MIN: 8687.22MIN: 10188.81. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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: CPURun 1Run 2Run 37001400210028003500SE +/- 44.01, N = 15SE +/- 41.23, N = 6SE +/- 46.22, N = 153300.073434.143327.91MIN: 2751.78MIN: 3003.06MIN: 2885.531. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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: CPURun 1Run 2Run 37001400210028003500SE +/- 45.21, N = 15SE +/- 38.80, N = 15SE +/- 11.78, N = 33293.493322.683393.82MIN: 2548MIN: 2956.39MIN: 3348.851. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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: CPURun 1Run 2Run 37001400210028003500SE +/- 31.60, N = 10SE +/- 58.86, N = 15SE +/- 51.82, N = 33332.793312.303405.82MIN: 2567.62MIN: 2572.81MIN: 3281.71. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchRun 1Run 2Run 34080120160200SE +/- 0.06, N = 3SE +/- 0.82, N = 3SE +/- 0.16, N = 3200.30199.71200.751. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Node.js V8 Web Tooling Benchmark

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling BenchmarkRun 1Run 2Run 3246810SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 36.786.746.851. Nodejs v10.19.0

Timed Eigen Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To CompileRun 1Run 2Run 3306090120150SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.17, N = 3120.02119.98120.19

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileRun 1Run 2Run 320406080100SE +/- 0.36, N = 3SE +/- 0.14, N = 3SE +/- 0.04, N = 3102.30102.59102.35

SQLite Speedtest

Timed Time - Size 1,000

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Run 1Run 2Run 320406080100SE +/- 0.01, N = 3SE +/- 0.98, N = 3SE +/- 0.17, N = 390.1290.3290.111. (CC) gcc options: -O2 -ldl -lz -lpthread

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: CPURun 1Run 2Run 31.06082.12163.18244.24325.304SE +/- 0.17305, N = 15SE +/- 0.12692, N = 15SE +/- 0.04344, N = 34.602484.714734.22841MIN: 3.92MIN: 3.93MIN: 3.961. (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: CPURun 1Run 2Run 31.20322.40643.60964.81286.016SE +/- 0.52810, N = 15SE +/- 0.07284, N = 15SE +/- 0.13685, N = 125.347714.491484.33519MIN: 2.82MIN: 2.85MIN: 2.851. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

CLOMP

Static OMP Speedup

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP SpeedupRun 1Run 2Run 31326395265SE +/- 0.32, N = 3SE +/- 0.70, N = 3SE +/- 0.43, N = 357.157.757.81. (CC) gcc options: -fopenmp -O3 -lm

simdjson

Throughput Test: LargeRandom

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandomRun 1Run 2Run 30.0630.1260.1890.2520.315SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.280.280.281. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: PartialTweets

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweetsRun 1Run 2Run 30.0810.1620.2430.3240.405SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.360.360.361. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: DistinctUserID

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserIDRun 1Run 2Run 30.08330.16660.24990.33320.4165SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.370.370.371. (CXX) g++ options: -O3 -pthread

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: CPURun 1Run 2Run 30.39160.78321.17481.56641.958SE +/- 0.06136, N = 15SE +/- 0.05674, N = 12SE +/- 0.06598, N = 151.712201.740561.66512MIN: 1.12MIN: 1.11MIN: 0.981. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

simdjson

Throughput Test: Kostya

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: KostyaRun 1Run 2Run 30.07430.14860.22290.29720.3715SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.330.330.331. (CXX) g++ options: -O3 -pthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPURun 1Run 2Run 33691215SE +/- 0.32, N = 15SE +/- 0.25, N = 15SE +/- 0.23, N = 1512.4211.7712.09MIN: 3.03MIN: 3.13MIN: 3.141. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To CompileRun 1Run 2Run 3918273645SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.14, N = 339.0939.1139.19

Monkey Audio Encoding

WAV To APE

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APERun 1Run 2Run 3510152025SE +/- 0.01, N = 5SE +/- 0.01, N = 5SE +/- 0.08, N = 518.3518.3318.421. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

WavPack Audio Encoding

WAV To WavPack

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPackRun 1Run 2Run 348121620SE +/- 0.02, N = 5SE +/- 0.02, N = 5SE +/- 0.00, N = 517.3217.3117.291. (CXX) g++ options: -rdynamic

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: CPURun 1Run 2Run 30.40360.80721.21081.61442.018SE +/- 0.01884, N = 3SE +/- 0.01534, N = 15SE +/- 0.01875, N = 31.788921.779531.79366MIN: 1.66MIN: 1.57MIN: 1.661. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per SecondRun 1Run 2Run 3200K400K600K800K1000KSE +/- 5683.14, N = 3SE +/- 1976.60, N = 3SE +/- 2175.03, N = 3879248.02879237.12876909.951. (CC) gcc options: -O2 -lrt" -lrt

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: CPURun 1Run 2Run 30.90741.81482.72223.62964.537SE +/- 0.02609, N = 3SE +/- 0.02054, N = 3SE +/- 0.03270, N = 34.032814.007134.01827MIN: 3.67MIN: 3.65MIN: 3.671. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Opus Codec Encoding

WAV To Opus Encode

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus EncodeRun 1Run 2Run 33691215SE +/- 0.00, N = 5SE +/- 0.01, N = 5SE +/- 0.01, N = 510.1910.2210.201. (CXX) g++ options: -fvisibility=hidden -logg -lm

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPURun 1Run 2Run 30.60411.20821.81232.41643.0205SE +/- 0.01516, N = 3SE +/- 0.00743, N = 3SE +/- 0.00279, N = 32.679372.685112.66509MIN: 2.56MIN: 2.55MIN: 2.551. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Timed MAFFT Alignment

Multiple Sequence Alignment - LSU RNA

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNARun 1Run 2Run 348121620SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.04, N = 315.0215.1515.021. (CC) gcc options: -std=c99 -O3 -lm -lpthread

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: CPURun 1Run 2Run 3612182430SE +/- 0.12, N = 3SE +/- 0.45, N = 12SE +/- 0.12, N = 323.3022.4623.21MIN: 21.63MIN: 11.33MIN: 20.941. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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: CPURun 1Run 2Run 33691215SE +/- 0.10760, N = 15SE +/- 0.11235, N = 3SE +/- 0.11809, N = 159.044399.038939.08767MIN: 6.91MIN: 6.98MIN: 6.991. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPURun 1Run 2Run 30.80361.60722.41083.21444.018SE +/- 0.01645, N = 3SE +/- 0.02517, N = 3SE +/- 0.00955, N = 33.565113.559703.57153MIN: 1.9MIN: 1.89MIN: 1.891. (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: CPURun 1Run 2Run 3510152025SE +/- 0.19, N = 3SE +/- 0.29, N = 3SE +/- 0.25, N = 318.5118.6818.66MIN: 17.06MIN: 17.2MIN: 17.141. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

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: CPURun 1Run 2Run 30.9931.9862.9793.9724.965SE +/- 0.05240, N = 6SE +/- 0.06219, N = 3SE +/- 0.06103, N = 44.413144.370974.40049MIN: 4.07MIN: 4.07MIN: 4.061. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Phoronix Test Suite v10.8.4