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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2012222-HA-AMDEPYC7628
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December 21 2020
  11 Hours, 33 Minutes
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December 21 2020
  11 Hours, 37 Minutes
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December 22 2020
  10 Hours, 48 Minutes
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AMD EPYC 7601 Xmas 2020 - Phoronix Test Suite

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&sor&rro.

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 2Run 3Run 1306090120150SE +/- 2.16, N = 12SE +/- 1.61, N = 12SE +/- 1.56, N = 12119.23118.48117.02MIN: 109.72 / MAX: 3748.32MIN: 109.05 / MAX: 2000.57MIN: 109.2 / MAX: 1631.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssdRun 2Run 1Run 31122334455SE +/- 1.43, N = 12SE +/- 1.46, N = 12SE +/- 1.26, N = 1246.8946.6844.81MIN: 37.8 / MAX: 531.21MIN: 37.34 / MAX: 524.93MIN: 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 3Run 21326395265SE +/- 1.01, N = 12SE +/- 0.57, N = 12SE +/- 0.72, N = 1257.9956.5255.80MIN: 46.53 / MAX: 296.18MIN: 44.78 / MAX: 275.31MIN: 46.04 / MAX: 269.611. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50Run 1Run 3Run 21428425670SE +/- 2.69, N = 12SE +/- 3.15, N = 12SE +/- 1.83, N = 1260.7859.4959.24MIN: 38.67 / MAX: 633.7MIN: 38.42 / MAX: 662.24MIN: 38.46 / MAX: 770.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnetRun 1Run 3Run 2816243240SE +/- 1.65, N = 12SE +/- 1.62, N = 12SE +/- 1.11, N = 1233.2031.9230.19MIN: 18.26 / MAX: 171.51MIN: 16.26 / MAX: 163.34MIN: 16.07 / MAX: 156.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18Run 2Run 3Run 11020304050SE +/- 3.66, N = 12SE +/- 2.71, N = 12SE +/- 1.98, N = 1245.7043.6441.83MIN: 27.44 / MAX: 248.59MIN: 27.63 / MAX: 246.76MIN: 23.36 / MAX: 249.261. (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 3Run 1Run 21122334455SE +/- 2.45, N = 12SE +/- 2.27, N = 12SE +/- 2.77, N = 1249.8148.0646.99MIN: 32.24 / MAX: 613.18MIN: 32.75 / MAX: 604.8MIN: 33.26 / MAX: 605.841. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazefaceRun 3Run 2Run 1246810SE +/- 0.09, N = 12SE +/- 0.06, N = 12SE +/- 0.06, N = 127.907.897.79MIN: 7.46 / MAX: 59.21MIN: 7.55 / MAX: 80.4MIN: 7.48 / MAX: 49.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b0Run 3Run 2Run 1612182430SE +/- 0.56, N = 12SE +/- 0.31, N = 12SE +/- 0.37, N = 1223.2222.2422.19MIN: 20.7 / MAX: 525.92MIN: 20.84 / MAX: 524.85MIN: 20.26 / MAX: 496.031. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnetRun 3Run 1Run 248121620SE +/- 0.43, N = 12SE +/- 0.48, N = 12SE +/- 0.24, N = 1216.2616.1715.76MIN: 14.79 / MAX: 427.39MIN: 14.62 / MAX: 428.63MIN: 14.78 / MAX: 415.51. (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 2Run 3Run 148121620SE +/- 0.96, N = 12SE +/- 0.59, N = 12SE +/- 0.56, N = 1217.4816.9116.30MIN: 14.75 / MAX: 525.02MIN: 14.94 / MAX: 447.34MIN: 14.83 / MAX: 444.141. (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 2Run 3Run 1510152025SE +/- 1.19, N = 12SE +/- 0.54, N = 12SE +/- 0.22, N = 1219.4218.2217.42MIN: 15.84 / MAX: 439.61MIN: 15.35 / MAX: 435.27MIN: 15.79 / MAX: 249.251. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenetRun 3Run 1Run 21020304050SE +/- 1.07, N = 12SE +/- 1.57, N = 12SE +/- 1.10, N = 1243.2643.1041.84MIN: 34.82 / MAX: 511.89MIN: 35.09 / MAX: 501.41MIN: 35.73 / MAX: 496.111. (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 2Run 1Run 32K4K6K8K10KSE +/- 128.18, N = 12SE +/- 164.15, N = 12SE +/- 184.49, N = 1310747.5010732.7310314.22MIN: 9600.6MIN: 8370.79MIN: 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 3Run 2Run 12K4K6K8K10KSE +/- 330.55, N = 12SE +/- 204.17, N = 12SE +/- 206.22, N = 1010812.5410647.6010583.10MIN: 8507.26MIN: 8942.86MIN: 9226.331. (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: CPURun 3Run 2Run 12K4K6K8K10KSE +/- 137.39, N = 4SE +/- 182.83, N = 12SE +/- 258.76, N = 911077.9010915.6510689.16MIN: 10188.8MIN: 8687.22MIN: 9144.241. (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 2Run 3Run 17001400210028003500SE +/- 41.23, N = 6SE +/- 46.22, N = 15SE +/- 44.01, N = 153434.143327.913300.07MIN: 3003.06MIN: 2885.53MIN: 2751.781. (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 3Run 2Run 17001400210028003500SE +/- 11.78, N = 3SE +/- 38.80, N = 15SE +/- 45.21, N = 153393.823322.683293.49MIN: 3348.85MIN: 2956.39MIN: 25481. (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 3Run 1Run 27001400210028003500SE +/- 51.82, N = 3SE +/- 31.60, N = 10SE +/- 58.86, N = 153405.823332.793312.30MIN: 3281.7MIN: 2567.62MIN: 2572.811. (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 3Run 1Run 24080120160200SE +/- 0.16, N = 3SE +/- 0.06, N = 3SE +/- 0.82, N = 3200.75200.30199.711. (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 2Run 1Run 3246810SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 36.746.786.851. Nodejs v10.19.0

Timed Eigen Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To CompileRun 3Run 1Run 2306090120150SE +/- 0.17, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 3120.19120.02119.98

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To CompileRun 2Run 3Run 120406080100SE +/- 0.14, N = 3SE +/- 0.04, N = 3SE +/- 0.36, N = 3102.59102.35102.30

SQLite Speedtest

Timed Time - Size 1,000

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,000Run 2Run 1Run 320406080100SE +/- 0.98, N = 3SE +/- 0.01, N = 3SE +/- 0.17, N = 390.3290.1290.111. (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 2Run 1Run 31.06082.12163.18244.24325.304SE +/- 0.12692, N = 15SE +/- 0.17305, N = 15SE +/- 0.04344, N = 34.714734.602484.22841MIN: 3.93MIN: 3.92MIN: 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 2Run 1Run 30.39160.78321.17481.56641.958SE +/- 0.05674, N = 12SE +/- 0.06136, N = 15SE +/- 0.06598, N = 151.740561.712201.66512MIN: 1.11MIN: 1.12MIN: 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 3Run 23691215SE +/- 0.32, N = 15SE +/- 0.23, N = 15SE +/- 0.25, N = 1512.4212.0911.77MIN: 3.03MIN: 3.14MIN: 3.131. (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 3Run 2Run 1918273645SE +/- 0.14, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 339.1939.1139.09

Monkey Audio Encoding

WAV To APE

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APERun 3Run 1Run 2510152025SE +/- 0.08, N = 5SE +/- 0.01, N = 5SE +/- 0.01, N = 518.4218.3518.331. (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 3Run 1Run 20.40360.80721.21081.61442.018SE +/- 0.01875, N = 3SE +/- 0.01884, N = 3SE +/- 0.01534, N = 151.793661.788921.77953MIN: 1.66MIN: 1.66MIN: 1.571. (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 3Run 2Run 1200K400K600K800K1000KSE +/- 2175.03, N = 3SE +/- 1976.60, N = 3SE +/- 5683.14, N = 3876909.95879237.12879248.021. (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 3Run 20.90741.81482.72223.62964.537SE +/- 0.02609, N = 3SE +/- 0.03270, N = 3SE +/- 0.02054, N = 34.032814.018274.00713MIN: 3.67MIN: 3.67MIN: 3.651. (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 2Run 3Run 13691215SE +/- 0.01, N = 5SE +/- 0.01, N = 5SE +/- 0.00, N = 510.2210.2010.191. (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 2Run 1Run 30.60411.20821.81232.41643.0205SE +/- 0.00743, N = 3SE +/- 0.01516, N = 3SE +/- 0.00279, N = 32.685112.679372.66509MIN: 2.55MIN: 2.56MIN: 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 2Run 3Run 148121620SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 315.1515.0215.021. (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 3Run 2612182430SE +/- 0.12, N = 3SE +/- 0.12, N = 3SE +/- 0.45, N = 1223.3023.2122.46MIN: 21.63MIN: 20.94MIN: 11.331. (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 3Run 1Run 23691215SE +/- 0.11809, N = 15SE +/- 0.10760, N = 15SE +/- 0.11235, N = 39.087679.044399.03893MIN: 6.99MIN: 6.91MIN: 6.981. (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 3Run 1Run 20.80361.60722.41083.21444.018SE +/- 0.00955, N = 3SE +/- 0.01645, N = 3SE +/- 0.02517, N = 33.571533.565113.55970MIN: 1.89MIN: 1.9MIN: 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 2Run 3Run 1510152025SE +/- 0.29, N = 3SE +/- 0.25, N = 3SE +/- 0.19, N = 318.6818.6618.51MIN: 17.2MIN: 17.14MIN: 17.061. (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 3Run 20.9931.9862.9793.9724.965SE +/- 0.05240, N = 6SE +/- 0.06103, N = 4SE +/- 0.06219, N = 34.413144.400494.37097MIN: 4.07MIN: 4.06MIN: 4.071. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Phoronix Test Suite v10.8.4