oneDNN Broadwell Old

Intel Core i7-5600U testing with a LENOVO 20BSCTO1WW (N14ET49W 1.27 BIOS) and Intel HD 5500 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 2004097-NI-ONEDNNBRO81
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Performance Per
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Date
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  Test
  Duration
Intel Core i7-5600U
April 09 2020
  27 Minutes
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oneDNN Broadwell OldOpenBenchmarking.orgPhoronix Test SuiteIntel Core i7-5600U @ 3.20GHz (2 Cores / 4 Threads)LENOVO 20BSCTO1WW (N14ET49W 1.27 BIOS)Intel Broadwell-U-OPI8GB128GB SAMSUNG MZNTE128Intel HD 5500 3GB (950MHz)Intel Broadwell-U AudioIntel I218-LM + Intel 7265Ubuntu 20.045.4.0-21-generic (x86_64)GNOME Shell 3.36.0X Server 1.20.7modesetting 1.20.74.6 Mesa 20.0.4OpenCL 2.1GCC 9.3.0ext41920x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen ResolutionOneDNN Broadwell Old BenchmarksSystem Logs- --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 - Scaling Governor: intel_pstate powersave - CPU Microcode: 0x2e- itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + 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: conditional RSB filling + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

oneDNN Broadwell Oldmkl-dnn: IP Batch 1D - f32mkl-dnn: IP Batch All - f32mkl-dnn: Deconvolution Batch deconv_1d - f32mkl-dnn: Deconvolution Batch deconv_3d - f32mkl-dnn: Recurrent Neural Network Training - f32mkl-dnn: Recurrent Neural Network Inference - f32Intel Core i7-5600U21.3995298.93127.392836.19571538.69348.112OpenBenchmarking.org

oneDNN MKL-DNN

This is a test of the Intel oneDNN (formerly DNNL / Deep Neural Network Library / MKL-DNN) 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. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch 1D - Data Type: f32Intel Core i7-5600U510152025SE +/- 0.21, N = 921.40MIN: 19.411. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: IP Batch All - Data Type: f32Intel Core i7-5600U70140210280350SE +/- 1.46, N = 3298.93MIN: 280.41. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_1d - Data Type: f32Intel Core i7-5600U612182430SE +/- 0.12, N = 327.39MIN: 26.071. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Deconvolution Batch deconv_3d - Data Type: f32Intel Core i7-5600U816243240SE +/- 0.03, N = 336.20MIN: 34.551. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Recurrent Neural Network Training - Data Type: f32Intel Core i7-5600U30060090012001500SE +/- 24.58, N = 151538.69MIN: 1339.741. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN MKL-DNN 1.3Harness: Recurrent Neural Network Inference - Data Type: f32Intel Core i7-5600U80160240320400SE +/- 6.69, N = 15348.11MIN: 293.411. (CXX) g++ options: -O3 -march=native -std=c++11 -msse4.1 -fPIC -fopenmp -pie -lpthread -lrt -ldl