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.

HTML result view exported from: https://openbenchmarking.org/result/2012105-HA-10600KONE98.

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

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

Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU

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

oneDNN

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

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

oneDNN

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

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

oneDNN

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

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

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: 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

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: 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

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: 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

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: 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

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: 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

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: 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

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: 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

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: 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

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: 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

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: 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

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: 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

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: 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

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: 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

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: 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

Timed Clash Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Clash CompilationTime To Compile12370140210280350SE +/- 0.12, N = 3SE +/- 0.16, N = 3SE +/- 0.38, N = 3317.03316.58316.63

Phoronix Test Suite v10.8.4