10600k onednn2

Intel Core i5-10600K testing with a ASUS PRIME Z490M-PLUS (1001 BIOS) and ASUS Intel UHD 630 3GB 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 2012105-HA-10600KONE98
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December 10 2020
  48 Minutes
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10600k onednn2ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123Intel Core i5-10600K @ 4.80GHz (6 Cores / 12 Threads)ASUS PRIME Z490M-PLUS (1001 BIOS)Intel Comet Lake PCH32GBSamsung SSD 970 EVO 500GBASUS Intel UHD 630 3GB (1200MHz)Realtek ALC887-VDG237HLIntelUbuntu 20.045.9.0-050900daily20201012-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.81.2.131GCC 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: intel_pstate powersave - CPU Microcode: 0xe0Security Details- itlb_multihit: KVM: Mitigation of VMX unsupported + 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: Not affected

123Result OverviewPhoronix Test Suite100%100%101%101%oneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNoneDNNTimed Clash CompilationoneDNNoneDNNoneDNNoneDNNoneDNND.B.s - f32 - CPUD.B.s - u8s8f32 - CPUIP Shapes 3D - u8s8f32 - CPUC.B.S.A - u8s8f32 - CPUIP Shapes 1D - f32 - CPUIP Shapes 3D - f32 - CPUM.M.B.S.T - f32 - CPUR.N.N.I - f32 - CPUR.N.N.I - u8s8f32 - CPUM.M.B.S.T - u8s8f32 - CPUD.B.s - f32 - CPUR.N.N.I - bf16bf16bf16 - CPUIP Shapes 1D - u8s8f32 - CPUTime To CompileR.N.N.T - bf16bf16bf16 - CPUD.B.s - u8s8f32 - CPUR.N.N.T - u8s8f32 - CPUC.B.S.A - f32 - CPUR.N.N.T - f32 - CPU

10600k onednn2onednn: 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 - CPUbuild-clash: Time To Compile1234.290987.974092.021642.3147915.14766.025178.4316313.78906.126803.989363998.522405.153999.322400.283.402043998.202396.322.95832317.0344.285177.936812.024842.3195015.15276.061158.4316913.73776.093003.98953999.552398.003998.542393.763.401823995.072400.052.96088316.5844.264197.936822.021702.2918615.14276.110658.4461413.69006.051253.993813997.852400.573996.142400.473.391733993.472396.162.96592316.626OpenBenchmarking.org

oneDNN

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU1230.96551.9312.89653.8624.8275SE +/- 0.02098, N = 3SE +/- 0.01765, N = 3SE +/- 0.01467, N = 34.290984.285174.26419MIN: 4.19MIN: 4.18MIN: 4.191. (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: CPU123246810Min: 4.26 / Avg: 4.29 / Max: 4.33Min: 4.26 / Avg: 4.29 / Max: 4.32Min: 4.24 / Avg: 4.26 / Max: 4.291. (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: CPU123246810SE +/- 0.01531, N = 3SE +/- 0.02008, N = 3SE +/- 0.01130, N = 37.974097.936817.93682MIN: 7.84MIN: 7.81MIN: 7.81. (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: CPU1233691215Min: 7.95 / Avg: 7.97 / Max: 8Min: 7.9 / Avg: 7.94 / Max: 7.96Min: 7.92 / Avg: 7.94 / Max: 7.951. (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: CPU1230.45560.91121.36681.82242.278SE +/- 0.01027, N = 3SE +/- 0.00907, N = 3SE +/- 0.00802, N = 32.021642.024842.02170MIN: 1.97MIN: 1.97MIN: 1.971. (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: u8s8f32 - Engine: CPU123246810Min: 2 / Avg: 2.02 / Max: 2.04Min: 2.01 / Avg: 2.02 / Max: 2.04Min: 2.01 / Avg: 2.02 / Max: 2.031. (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: CPU1230.52191.04381.56572.08762.6095SE +/- 0.00929, N = 3SE +/- 0.01254, N = 3SE +/- 0.01055, N = 32.314792.319502.29186MIN: 2.26MIN: 2.26MIN: 2.241. (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: 2.3 / Avg: 2.31 / Max: 2.33Min: 2.3 / Avg: 2.32 / Max: 2.34Min: 2.27 / Avg: 2.29 / Max: 2.311. (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: CPU12348121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 315.1515.1515.14MIN: 15.08MIN: 15.08MIN: 15.081. (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: CPU12348121620Min: 15.13 / Avg: 15.15 / Max: 15.17Min: 15.13 / Avg: 15.15 / Max: 15.17Min: 15.13 / Avg: 15.14 / Max: 15.171. (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: CPU123246810SE +/- 0.03564, N = 3SE +/- 0.05010, N = 3SE +/- 0.01301, N = 36.025176.061156.11065MIN: 5.87MIN: 5.87MIN: 5.911. (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: CPU123246810Min: 5.96 / Avg: 6.03 / Max: 6.07Min: 5.97 / Avg: 6.06 / Max: 6.14Min: 6.08 / Avg: 6.11 / Max: 6.131. (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: CPU123246810SE +/- 0.00442, N = 3SE +/- 0.00741, N = 3SE +/- 0.00321, N = 38.431638.431698.44614MIN: 8.39MIN: 8.4MIN: 8.421. (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: CPU1233691215Min: 8.42 / Avg: 8.43 / Max: 8.44Min: 8.42 / Avg: 8.43 / Max: 8.45Min: 8.44 / Avg: 8.45 / Max: 8.451. (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: CPU12348121620SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 313.7913.7413.69MIN: 13.49MIN: 13.48MIN: 13.481. (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: CPU12348121620Min: 13.69 / Avg: 13.79 / Max: 13.87Min: 13.64 / Avg: 13.74 / Max: 13.82Min: 13.58 / Avg: 13.69 / Max: 13.771. (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: CPU123246810SE +/- 0.07509, N = 3SE +/- 0.04768, N = 3SE +/- 0.01346, N = 36.126806.093006.05125MIN: 5.95MIN: 5.96MIN: 5.951. (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: CPU123246810Min: 6.03 / Avg: 6.13 / Max: 6.27Min: 6.02 / Avg: 6.09 / Max: 6.18Min: 6.03 / Avg: 6.05 / Max: 6.081. (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: CPU1230.89861.79722.69583.59444.493SE +/- 0.00175, N = 3SE +/- 0.00597, N = 3SE +/- 0.00716, N = 33.989363.989503.99381MIN: 3.96MIN: 3.96MIN: 3.961. (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: CPU123246810Min: 3.99 / Avg: 3.99 / Max: 3.99Min: 3.98 / Avg: 3.99 / Max: 4Min: 3.98 / Avg: 3.99 / Max: 4.011. (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: CPU1239001800270036004500SE +/- 1.53, N = 3SE +/- 2.59, N = 3SE +/- 1.78, N = 33998.523999.553997.85MIN: 3992.87MIN: 3993.93MIN: 3993.041. (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: CPU1237001400210028003500Min: 3996.87 / Avg: 3998.52 / Max: 4001.57Min: 3995.93 / Avg: 3999.55 / Max: 4004.57Min: 3994.55 / Avg: 3997.85 / Max: 4000.641. (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: CPU1235001000150020002500SE +/- 2.35, N = 3SE +/- 3.32, N = 3SE +/- 5.59, N = 32405.152398.002400.57MIN: 2399.63MIN: 2390.66MIN: 2389.21. (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: CPU123400800120016002000Min: 2401.23 / Avg: 2405.15 / Max: 2409.35Min: 2391.97 / Avg: 2398 / Max: 2403.41Min: 2390.33 / Avg: 2400.57 / Max: 2409.571. (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: CPU1239001800270036004500SE +/- 1.99, N = 3SE +/- 1.81, N = 3SE +/- 0.84, N = 33999.323998.543996.14MIN: 3993.47MIN: 3993.28MIN: 3993.441. (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: CPU1237001400210028003500Min: 3995.38 / Avg: 3999.32 / Max: 4001.76Min: 3994.95 / Avg: 3998.54 / Max: 4000.68Min: 3995.2 / Avg: 3996.14 / Max: 3997.811. (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: CPU1235001000150020002500SE +/- 3.58, N = 3SE +/- 2.24, N = 3SE +/- 3.99, N = 32400.282393.762400.47MIN: 2393.81MIN: 2387.59MIN: 2392.211. (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: CPU123400800120016002000Min: 2395.31 / Avg: 2400.28 / Max: 2407.23Min: 2389.3 / Avg: 2393.76 / Max: 2396.32Min: 2393.61 / Avg: 2400.47 / Max: 2407.431. (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: CPU1230.76551.5312.29653.0623.8275SE +/- 0.00519, N = 3SE +/- 0.01124, N = 3SE +/- 0.00297, N = 33.402043.401823.39173MIN: 3.34MIN: 3.33MIN: 3.331. (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: f32 - Engine: CPU123246810Min: 3.39 / Avg: 3.4 / Max: 3.41Min: 3.38 / Avg: 3.4 / Max: 3.41Min: 3.39 / Avg: 3.39 / Max: 3.41. (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: CPU1239001800270036004500SE +/- 0.19, N = 3SE +/- 1.90, N = 3SE +/- 0.37, N = 33998.203995.073993.47MIN: 3993.47MIN: 3989.32MIN: 3991.211. (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: CPU1237001400210028003500Min: 3997.83 / Avg: 3998.2 / Max: 3998.41Min: 3991.28 / Avg: 3995.07 / Max: 3997.01Min: 3992.77 / Avg: 3993.47 / Max: 3994.021. (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: CPU1235001000150020002500SE +/- 4.65, N = 3SE +/- 4.72, N = 3SE +/- 0.39, N = 32396.322400.052396.16MIN: 2388.31MIN: 2388.43MIN: 2394.091. (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: CPU123400800120016002000Min: 2389.9 / Avg: 2396.32 / Max: 2405.35Min: 2390.66 / Avg: 2400.05 / Max: 2405.57Min: 2395.38 / Avg: 2396.16 / Max: 2396.591. (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: CPU1230.66731.33462.00192.66923.3365SE +/- 0.00406, N = 3SE +/- 0.00208, N = 3SE +/- 0.00127, N = 32.958322.960882.96592MIN: 2.84MIN: 2.86MIN: 2.861. (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: CPU123246810Min: 2.95 / Avg: 2.96 / Max: 2.96Min: 2.96 / Avg: 2.96 / Max: 2.96Min: 2.96 / Avg: 2.97 / Max: 2.971. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Timed Clash Compilation

Build the clash-lang Haskell to VHDL/Verilog/SystemVerilog compiler with GHC 8.10.1 Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Clash CompilationTime To Compile12370140210280350SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.38, N = 3317.03316.58316.63
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Clash CompilationTime To Compile12360120180240300Min: 316.82 / Avg: 317.03 / Max: 317.24Min: 316.26 / Avg: 316.58 / Max: 316.79Min: 315.97 / Avg: 316.63 / Max: 317.3