mkl-dnn_f32_result

AMD Phenom II X6 1090T testing with a Gigabyte 970A-DS3 (FD BIOS) and Sapphire AMD Radeon R9 290X/390X 4GB on Arch Linux 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 1907094-HV-MKLDNNF3276
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Result
Identifier
Performance Per
Dollar
Date
Run
  Test
  Duration
AMD Phenom II X6 1090T
July 09 2019
  6 Minutes


mkl-dnn_f32_resultOpenBenchmarking.orgPhoronix Test SuiteAMD Phenom II X6 1090T @ 3.20GHz (6 Cores)Gigabyte 970A-DS3 (FD BIOS)AMD RD9x0/RX9808192MB3001GB Seagate ST3000DM001-1ER1 + 500GB SAMSUNG HD502HJ + 500GB Samsung SSD 850Sapphire AMD Radeon R9 290X/390X 4GBRealtek ALC887-VDSMBX2440 + BenQ RL2450HRealtek RTL8111/8168/8411Arch Linux5.1.15-arch1-1-ARCH (x86_64)KDE Plasma 5.16.2X Server 1.20.5modesetting 1.20.54.5 Mesa 19.1.1 (LLVM 8.0.0)OpenCL 1.1 Mesa 19.1.1GCC 9.1.0 + Clang 8.0.0 + LLVM 8.0.0ext43840x1080ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen ResolutionMkl-dnn_f32_result BenchmarksSystem Logs- Scaling Governor: acpi-cpufreq schedutil- l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Not affected + spectre_v1: Mitigation of __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline STIBP: disabled RSB filling

MKL-DNN

This is a test of the Intel MKL-DNN as the Intel Math Kernel 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 BetterMKL-DNN 2019-04-16Harness: Convolution Batch conv_alexnet - Data Type: f32AMD Phenom II X6 1090T4K8K12K16K20KSE +/- 20.10, N = 318427MIN: 18381.31. (CXX) g++ options: -std=c++11 -march=native -mtune=native -fPIC -fopenmp -O3 -pie -lmklml_intel -lrt -ldl