oneDNN Core i5 4670

Intel Core i5-4670 testing with a MSI B85M-P33 (MS-7817) v1.0 (V4.9 BIOS) and MSI Intel HD 4600 2GB 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 2012100-HA-ONEDNNCOR59
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oneDNN Core i5 4670ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution123Intel Core i5-4670 @ 3.80GHz (4 Cores)MSI B85M-P33 (MS-7817) v1.0 (V4.9 BIOS)Intel 4th Gen Core DRAM8GB2000GB Samsung SSD 860MSI Intel HD 4600 2GB (1200MHz)Intel Xeon E3-1200 v3/4thDELL S2409WRealtek RTL8111/8168/8411Ubuntu 20.045.9.0-050900rc7daily20201002-generic (x86_64) 20201001GNOME Shell 3.36.3X Server 1.20.8modesetting 1.20.84.5 Mesa 20.0.8GCC 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,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: intel_cpufreq ondemand - CPU Microcode: 0x28 - Thermald 1.9.1 Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite 10.2.2100%101%103%104%oneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNM.M.B.S.T - f32 - CPUIP Shapes 3D - u8s8f32 - CPUIP Shapes 3D - f32 - CPUR.N.N.T - u8s8f32 - CPUR.N.N.T - bf16bf16bf16 - CPUD.B.s - f32 - CPUC.B.S.A - u8s8f32 - CPUR.N.N.I - u8s8f32 - CPUIP Shapes 1D - u8s8f32 - CPUR.N.N.I - bf16bf16bf16 - CPUIP Shapes 1D - f32 - CPUR.N.N.I - f32 - CPUR.N.N.T - f32 - CPUD.B.s - u8s8f32 - CPUD.B.s - u8s8f32 - CPUC.B.S.A - f32 - CPUD.B.s - f32 - CPUM.M.B.S.T - u8s8f32 - CPU

oneDNN Core i5 4670onednn: 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 - CPU12311.342616.60586.346145.6390131.395812.588117.651730.793215.195513.83788952.275508.299338.605516.857.828549194.625618.917.5212311.345916.33106.291155.5123331.292912.601117.968731.196515.159713.82709029.935538.769151.935574.568.293169334.925558.497.5112611.224816.25116.363155.5251531.395712.628217.710431.182915.145613.92719007.285562.699301.185582.488.275429168.355590.487.52310OpenBenchmarking.org

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU1233691215SE +/- 0.13, N = 6SE +/- 0.01, N = 3SE +/- 0.04, N = 311.3411.3511.22MIN: 11.04MIN: 11.17MIN: 10.971. (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: CPU1233691215Min: 11.18 / Avg: 11.34 / Max: 12.01Min: 11.33 / Avg: 11.35 / Max: 11.37Min: 11.16 / Avg: 11.22 / Max: 11.31. (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: CPU12348121620SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 316.6116.3316.25MIN: 16.36MIN: 16.15MIN: 16.041. (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: CPU12348121620Min: 16.51 / Avg: 16.61 / Max: 16.74Min: 16.3 / Avg: 16.33 / Max: 16.36Min: 16.18 / Avg: 16.25 / Max: 16.331. (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: CPU123246810SE +/- 0.00576, N = 3SE +/- 0.03926, N = 3SE +/- 0.01195, N = 36.346146.291156.36315MIN: 6.28MIN: 6.2MIN: 6.221. (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: CPU1233691215Min: 6.34 / Avg: 6.35 / Max: 6.36Min: 6.24 / Avg: 6.29 / Max: 6.37Min: 6.35 / Avg: 6.36 / Max: 6.391. (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: CPU1231.26882.53763.80645.07526.344SE +/- 0.00456, N = 3SE +/- 0.01332, N = 3SE +/- 0.00918, N = 35.639015.512335.52515MIN: 5.59MIN: 5.45MIN: 5.471. (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: CPU123246810Min: 5.63 / Avg: 5.64 / Max: 5.65Min: 5.49 / Avg: 5.51 / Max: 5.54Min: 5.51 / Avg: 5.53 / Max: 5.541. (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: CPU123714212835SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.01, N = 331.4031.2931.40MIN: 30.99MIN: 30.94MIN: 31.021. (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: CPU123714212835Min: 31.34 / Avg: 31.4 / Max: 31.44Min: 31.06 / Avg: 31.29 / Max: 31.42Min: 31.37 / Avg: 31.4 / Max: 31.411. (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: CPU1233691215SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 312.5912.6012.63MIN: 12.47MIN: 12.49MIN: 12.51. (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: CPU12348121620Min: 12.56 / Avg: 12.59 / Max: 12.64Min: 12.59 / Avg: 12.6 / Max: 12.63Min: 12.58 / Avg: 12.63 / Max: 12.671. (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: CPU12348121620SE +/- 0.05, N = 3SE +/- 0.14, N = 3SE +/- 0.04, N = 317.6517.9717.71MIN: 17.35MIN: 17.52MIN: 17.531. (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: CPU123510152025Min: 17.55 / Avg: 17.65 / Max: 17.72Min: 17.7 / Avg: 17.97 / Max: 18.17Min: 17.64 / Avg: 17.71 / Max: 17.771. (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: CPU123714212835SE +/- 0.46, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 330.7931.2031.18MIN: 29.52MIN: 30.96MIN: 30.891. (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: CPU123714212835Min: 29.88 / Avg: 30.79 / Max: 31.28Min: 31.11 / Avg: 31.2 / Max: 31.28Min: 31.14 / Avg: 31.18 / Max: 31.251. (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: CPU12348121620SE +/- 0.10, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 315.2015.1615.15MIN: 15.06MIN: 15.09MIN: 15.081. (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: CPU12348121620Min: 15.1 / Avg: 15.2 / Max: 15.39Min: 15.14 / Avg: 15.16 / Max: 15.18Min: 15.14 / Avg: 15.15 / Max: 15.161. (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: CPU12348121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.06, N = 313.8413.8313.93MIN: 13.78MIN: 13.76MIN: 13.781. (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: CPU12348121620Min: 13.82 / Avg: 13.84 / Max: 13.85Min: 13.81 / Avg: 13.83 / Max: 13.84Min: 13.86 / Avg: 13.93 / Max: 14.061. (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: CPU1232K4K6K8K10KSE +/- 103.49, N = 3SE +/- 102.33, N = 3SE +/- 98.90, N = 38952.279029.939007.28MIN: 8655.24MIN: 8672.93MIN: 8727.51. (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: CPU12316003200480064008000Min: 8753.8 / Avg: 8952.27 / Max: 9102.38Min: 8829.94 / Avg: 9029.93 / Max: 9167.56Min: 8832.25 / Avg: 9007.28 / Max: 9174.61. (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: CPU12312002400360048006000SE +/- 23.66, N = 3SE +/- 10.18, N = 3SE +/- 24.97, N = 35508.295538.765562.69MIN: 5421.05MIN: 5461.45MIN: 5467.671. (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: CPU12310002000300040005000Min: 5462.03 / Avg: 5508.29 / Max: 5540.06Min: 5525.84 / Avg: 5538.76 / Max: 5558.84Min: 5515.55 / Avg: 5562.69 / Max: 5600.531. (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: CPU1232K4K6K8K10KSE +/- 43.58, N = 3SE +/- 31.22, N = 3SE +/- 39.35, N = 39338.609151.939301.18MIN: 9090.6MIN: 8898.02MIN: 8933.661. (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: CPU12316003200480064008000Min: 9253.13 / Avg: 9338.6 / Max: 9396.15Min: 9090.06 / Avg: 9151.93 / Max: 9190.19Min: 9222.56 / Avg: 9301.18 / Max: 9343.71. (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: CPU12312002400360048006000SE +/- 42.75, N = 3SE +/- 44.29, N = 3SE +/- 19.79, N = 35516.855574.565582.48MIN: 5417.58MIN: 5453.96MIN: 5448.181. (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: u8s8f32 - Engine: CPU12310002000300040005000Min: 5450.21 / Avg: 5516.85 / Max: 5596.55Min: 5512.76 / Avg: 5574.56 / Max: 5660.41Min: 5542.95 / Avg: 5582.48 / Max: 5603.881. (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: CPU123246810SE +/- 0.00417, N = 3SE +/- 0.10646, N = 15SE +/- 0.15195, N = 127.828548.293168.27542MIN: 7.75MIN: 7.71MIN: 7.71. (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: CPU1233691215Min: 7.82 / Avg: 7.83 / Max: 7.84Min: 7.79 / Avg: 8.29 / Max: 8.95Min: 7.79 / Avg: 8.28 / Max: 9.061. (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: CPU1232K4K6K8K10KSE +/- 2.79, N = 3SE +/- 157.44, N = 3SE +/- 38.05, N = 39194.629334.929168.35MIN: 8875.98MIN: 8993.25MIN: 8982.621. (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: CPU12316003200480064008000Min: 9189.08 / Avg: 9194.62 / Max: 9197.98Min: 9141.75 / Avg: 9334.92 / Max: 9646.85Min: 9098.51 / Avg: 9168.35 / Max: 9229.431. (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: CPU12312002400360048006000SE +/- 21.39, N = 3SE +/- 14.52, N = 3SE +/- 36.39, N = 35618.915558.495590.48MIN: 5552.78MIN: 5448.33MIN: 5483.251. (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: CPU12310002000300040005000Min: 5576.15 / Avg: 5618.91 / Max: 5640.97Min: 5529.49 / Avg: 5558.49 / Max: 5574.48Min: 5544.5 / Avg: 5590.48 / Max: 5662.331. (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: CPU123246810SE +/- 0.01143, N = 3SE +/- 0.00501, N = 3SE +/- 0.01277, N = 37.521237.511267.52310MIN: 7.46MIN: 7.45MIN: 7.461. (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: CPU1233691215Min: 7.5 / Avg: 7.52 / Max: 7.54Min: 7.5 / Avg: 7.51 / Max: 7.52Min: 7.51 / Avg: 7.52 / Max: 7.551. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread


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