gb

2 x Intel Xeon Silver 4210R testing with a GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS) and ASPEED 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 2008238-NE-GB898081895
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  Test
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2 x EPYC 7502
August 14 2020
  54 Minutes
2 x EPYC 7282
August 14 2020
  1 Hour, 58 Minutes
2 x Xeon Gold 6230R
August 17 2020
  43 Minutes
2 x Xeon Silver 4210R
August 18 2020
  38 Minutes
dd
August 23 2020
  33 Minutes
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  57 Minutes

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gbProcessorMotherboardChipsetMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution2 x EPYC 75022 x EPYC 72822 x Xeon Gold 6230R2 x Xeon Silver 4210Rdd2 x AMD EPYC 7502 32-Core @ 2.50GHz (64 Cores / 128 Threads)Supermicro H11DSi-NT v2.00 (2.1 BIOS)AMD Starship/Matisse474GB280GB INTEL SSDPE21D280GAllvmpipeVGA HDMI2 x Intel 10G X550TUbuntu 20.045.8.0-050800rc6daily20200721-generic (x86_64) 20200720GNOME Shell 3.36.1X Server 1.20.8modesetting 1.20.83.3 Mesa 20.0.4 (LLVM 9.0.1 128 bits)GCC 9.3.0ext41920x10802 x AMD EPYC 7282 16-Core @ 2.80GHz (32 Cores / 64 Threads)2 x Intel Xeon Gold 6230R @ 4.00GHz (52 Cores / 104 Threads)GIGABYTE MD61-SC2-00 v01000100 (T15 BIOS)Intel Sky Lake-E DMI3 Registers378GBASPEEDVE2282 x Intel X722 for 1GbE + 2 x QLogic FastLinQ QL41000 10/25/40/50GbE2 x Intel Xeon Silver 4210R @ 3.20GHz (20 Cores / 40 Threads)1024x768VE2281920x1080OpenBenchmarking.orgProcessor Details- 2 x EPYC 7502: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8301034- 2 x EPYC 7282: Scaling Governor: acpi-cpufreq performance - CPU Microcode: 0x8301034- 2 x Xeon Gold 6230R: Scaling Governor: intel_pstate performance - CPU Microcode: 0x500002c- 2 x Xeon Silver 4210R: Scaling Governor: intel_pstate performance - CPU Microcode: 0x500002c- dd: Scaling Governor: intel_pstate performance - CPU Microcode: 0x500002cSecurity Details- 2 x EPYC 7502: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected - 2 x EPYC 7282: 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: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected - 2 x Xeon Gold 6230R: itlb_multihit: KVM: Mitigation of Split huge pages + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled - 2 x Xeon Silver 4210R: itlb_multihit: KVM: Mitigation of Split huge pages + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled - dd: itlb_multihit: KVM: Mitigation of Split huge pages + 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 Enhanced IBRS IBPB: conditional RSB filling + srbds: Not affected + tsx_async_abort: Mitigation of TSX disabled Compiler Details- dd: --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,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

gbgeekbench: CPU Multi Core - Horizon Detectiongeekbench: CPU Multi Core - Face Detectiongeekbench: CPU Multi Core - Gaussian Blurgeekbench: CPU Multi Coreavifenc: 0geekbench: CPU Single Core - Horizon Detectiongeekbench: CPU Single Core - Face Detectiongeekbench: CPU Single Core - Gaussian Blurgeekbench: CPU Single Coreonednn: IP Batch All - bf16bf16bf16 - CPUonednn: IP Batch All - u8s8f32 - CPUonednn: IP Batch All - f32 - CPUavifenc: 2avifenc: 10onednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch deconv_1d - bf16bf16bf16 - CPUonednn: Deconvolution Batch deconv_1d - u8s8f32 - CPUonednn: Deconvolution Batch deconv_1d - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: IP Batch 1D - bf16bf16bf16 - CPUonednn: IP Batch 1D - f32 - CPUonednn: IP Batch 1D - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - bf16bf16bf16 - CPUavifenc: 8onednn: Convolution Batch Shapes Auto - bf16bf16bf16 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch deconv_3d - bf16bf16bf16 - CPUonednn: Deconvolution Batch deconv_3d - u8s8f32 - CPUonednn: Deconvolution Batch deconv_3d - f32 - CPU2 x EPYC 75022 x EPYC 72822 x Xeon Gold 6230R2 x Xeon Silver 4210Rdd587.9440.6536.22771324.48.6765.41051534.0252.5308.412151323.48.2962.01010879.0321.41.733215824.28.2040.61113357.6131.9722.11489919.46.5933.288193.844104.21113.002048.970956.5078.724312.54884.89255.7294213.50051.051944.016540.61479311.39503.938441.166821.246772.642088.58112.06256.5167015.11201.360675.40600OpenBenchmarking.org

Geekbench

This is a benchmark of Geekbench 5 Pro. The test profile automates the execution of Geekbench 5 under the Phoronix Test Suite, assuming you have a valid license key for Geekbench 5 Pro. This test will not work without a valid license key for Geekbench Pro. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGpixels/sec, More Is BetterGeekbench 5Test: CPU Multi Core - Horizon Detection2 x EPYC 75022 x EPYC 72822 x Xeon Gold 6230R2 x Xeon Silver 4210R2004006008001000SE +/- 14.72, N = 3SE +/- 21.24, N = 12SE +/- 33.69, N = 3SE +/- 7.54, N = 3587.9534.0879.0357.6
OpenBenchmarking.orgGpixels/sec, More Is BetterGeekbench 5Test: CPU Multi Core - Horizon Detection2 x EPYC 75022 x EPYC 72822 x Xeon Gold 6230R2 x Xeon Silver 4210R150300450600750Min: 559.1 / Avg: 587.87 / Max: 607.7Min: 443.7 / Avg: 534.02 / Max: 643.9Min: 820.2 / Avg: 879.03 / Max: 936.9Min: 344.7 / Avg: 357.63 / Max: 370.8

OpenBenchmarking.orgimages/sec, More Is BetterGeekbench 5Test: CPU Multi Core - Face Detection2 x EPYC 75022 x EPYC 72822 x Xeon Gold 6230R2 x Xeon Silver 4210R100200300400500SE +/- 10.73, N = 3SE +/- 1.88, N = 12SE +/- 7.70, N = 3SE +/- 7.56, N = 3440.6252.5321.4131.9
OpenBenchmarking.orgimages/sec, More Is BetterGeekbench 5Test: CPU Multi Core - Face Detection2 x EPYC 75022 x EPYC 72822 x Xeon Gold 6230R2 x Xeon Silver 4210R80160240320400Min: 420.1 / Avg: 440.57 / Max: 456.4Min: 244.7 / Avg: 252.51 / Max: 264.9Min: 310.3 / Avg: 321.4 / Max: 336.2Min: 116.8 / Avg: 131.87 / Max: 140.5

OpenBenchmarking.orgMpixels/sec, More Is BetterGeekbench 5Test: CPU Multi Core - Gaussian Blur2 x EPYC 75022 x EPYC 72822 x Xeon Gold 6230R2 x Xeon Silver 4210R160320480640800SE +/- 74.82, N = 3SE +/- 97.81, N = 12SE +/- 0.01, N = 3SE +/- 0.24, N = 3536.20308.411.73722.10
OpenBenchmarking.orgMpixels/sec, More Is BetterGeekbench 5Test: CPU Multi Core - Gaussian Blur2 x EPYC 75022 x EPYC 72822 x Xeon Gold 6230R2 x Xeon Silver 4210R130260390520650Min: 452.8 / Avg: 536.2 / Max: 685.5Min: 1.08 / Avg: 308.41 / Max: 922.6Min: 1.72 / Avg: 1.73 / Max: 1.74Min: 721.6 / Avg: 722.07 / Max: 722.4

OpenBenchmarking.orgScore, More Is BetterGeekbench 5Test: CPU Multi Core2 x EPYC 75022 x EPYC 72822 x Xeon Gold 6230R2 x Xeon Silver 4210R7K14K21K28K35KSE +/- 463.55, N = 3SE +/- 342.57, N = 12SE +/- 181.02, N = 3SE +/- 91.06, N = 327713215133215814899
OpenBenchmarking.orgScore, More Is BetterGeekbench 5Test: CPU Multi Core2 x EPYC 75022 x EPYC 72822 x Xeon Gold 6230R2 x Xeon Silver 4210R6K12K18K24K30KMin: 27074 / Avg: 27712.67 / Max: 28614Min: 19786 / Avg: 21512.75 / Max: 22935Min: 31824 / Avg: 32158 / Max: 32446Min: 14751 / Avg: 14899.33 / Max: 15065

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0dd20406080100SE +/- 0.20, N = 393.841. (CXX) g++ options: -O3 -fPIC

Geekbench

This is a benchmark of Geekbench 5 Pro. The test profile automates the execution of Geekbench 5 under the Phoronix Test Suite, assuming you have a valid license key for Geekbench 5 Pro. This test will not work without a valid license key for Geekbench Pro. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGpixels/sec, More Is BetterGeekbench 5Test: CPU Single Core - Horizon Detection2 x EPYC 75022 x EPYC 72822 x Xeon Gold 6230R2 x Xeon Silver 4210R612182430SE +/- 0.09, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 324.423.424.219.4
OpenBenchmarking.orgGpixels/sec, More Is BetterGeekbench 5Test: CPU Single Core - Horizon Detection2 x EPYC 75022 x EPYC 72822 x Xeon Gold 6230R2 x Xeon Silver 4210R612182430Min: 24.2 / Avg: 24.37 / Max: 24.5Min: 23.2 / Avg: 23.37 / Max: 23.5Min: 24.1 / Avg: 24.2 / Max: 24.3Min: 19.3 / Avg: 19.37 / Max: 19.4

OpenBenchmarking.orgimages/sec, More Is BetterGeekbench 5Test: CPU Single Core - Face Detection2 x EPYC 75022 x EPYC 72822 x Xeon Gold 6230R2 x Xeon Silver 4210R246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 38.678.298.206.59
OpenBenchmarking.orgimages/sec, More Is BetterGeekbench 5Test: CPU Single Core - Face Detection2 x EPYC 75022 x EPYC 72822 x Xeon Gold 6230R2 x Xeon Silver 4210R3691215Min: 8.64 / Avg: 8.67 / Max: 8.7Min: 8.27 / Avg: 8.29 / Max: 8.31Min: 8.17 / Avg: 8.2 / Max: 8.25Min: 6.57 / Avg: 6.59 / Max: 6.63

OpenBenchmarking.orgMpixels/sec, More Is BetterGeekbench 5Test: CPU Single Core - Gaussian Blur2 x EPYC 75022 x EPYC 72822 x Xeon Gold 6230R2 x Xeon Silver 4210R1530456075SE +/- 0.40, N = 3SE +/- 0.19, N = 3SE +/- 0.10, N = 3SE +/- 0.03, N = 365.462.040.633.2
OpenBenchmarking.orgMpixels/sec, More Is BetterGeekbench 5Test: CPU Single Core - Gaussian Blur2 x EPYC 75022 x EPYC 72822 x Xeon Gold 6230R2 x Xeon Silver 4210R1326395265Min: 64.7 / Avg: 65.4 / Max: 66.1Min: 61.8 / Avg: 62.03 / Max: 62.4Min: 40.4 / Avg: 40.6 / Max: 40.7Min: 33.2 / Avg: 33.23 / Max: 33.3

OpenBenchmarking.orgScore, More Is BetterGeekbench 5Test: CPU Single Core2 x EPYC 75022 x EPYC 72822 x Xeon Gold 6230R2 x Xeon Silver 4210R2004006008001000SE +/- 3.06, N = 3SE +/- 0.67, N = 3105110101113881
OpenBenchmarking.orgScore, More Is BetterGeekbench 5Test: CPU Single Core2 x EPYC 75022 x EPYC 72822 x Xeon Gold 6230R2 x Xeon Silver 4210R2004006008001000Min: 1045 / Avg: 1051 / Max: 1055Min: 1009 / Avg: 1009.67 / Max: 1011

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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: bf16bf16bf16 - Engine: CPUdd20406080100SE +/- 0.06, N = 3104.21MIN: 101.771. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPUdd3691215SE +/- 0.01, N = 313.00MIN: 12.281. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPUdd1122334455SE +/- 0.07, N = 348.97MIN: 46.841. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2dd1326395265SE +/- 0.44, N = 356.511. (CXX) g++ options: -O3 -fPIC

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10dd246810SE +/- 0.090, N = 158.7241. (CXX) g++ options: -O3 -fPIC

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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUdd70140210280350SE +/- 1.85, N = 3312.55MIN: 301.921. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUdd20406080100SE +/- 0.47, N = 384.89MIN: 80.091. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUdd1.28912.57823.86735.15646.4455SE +/- 0.06364, N = 155.72942MIN: 2.641. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: bf16bf16bf16 - Engine: CPUdd3691215SE +/- 0.01, N = 313.50MIN: 13.31. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPUdd0.23670.47340.71010.94681.1835SE +/- 0.00084, N = 31.05194MIN: 1.031. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPUdd0.90371.80742.71113.61484.5185SE +/- 0.00310, N = 34.01654MIN: 3.961. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUdd0.13830.27660.41490.55320.6915SE +/- 0.008306, N = 40.614793MIN: 0.561. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: bf16bf16bf16 - Engine: CPUdd3691215SE +/- 0.03, N = 311.40MIN: 11.011. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPUdd0.88611.77222.65833.54444.4305SE +/- 0.00415, N = 33.93844MIN: 3.751. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPUdd0.26250.5250.78751.051.3125SE +/- 0.00290, N = 31.16682MIN: 1.121. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUdd0.28050.5610.84151.1221.4025SE +/- 0.00381, N = 31.24677MIN: 1.171. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: bf16bf16bf16 - Engine: CPUdd0.59451.1891.78352.3782.9725SE +/- 0.00209, N = 32.64208MIN: 2.541. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

libavif avifenc

This is a test of the AOMedia libavif library testing the encoding of a JPEG image to AV1 Image Format (AVIF). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8dd246810SE +/- 0.045, N = 38.5811. (CXX) g++ options: -O3 -fPIC

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 oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: bf16bf16bf16 - Engine: CPUdd3691215SE +/- 0.00, N = 312.06MIN: 11.961. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUdd246810SE +/- 0.01414, N = 36.51670MIN: 6.341. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: bf16bf16bf16 - Engine: CPUdd48121620SE +/- 0.01, N = 315.11MIN: 15.021. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPUdd0.30620.61240.91861.22481.531SE +/- 0.00116, N = 31.36067MIN: 1.341. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPUdd1.21642.43283.64924.86566.082SE +/- 0.00136, N = 35.40600MIN: 5.361. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl