test1

wsl testing 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 2209056-NE-TEST1640814
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Result
Identifier
Performance Per
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Date
Run
  Test
  Duration
test caffe
September 05 2022
  8 Minutes


test1OpenBenchmarking.orgPhoronix Test SuiteIntel Core i5-10400 (6 Cores / 12 Threads)8GB4 x 275GB Virtual DiskUbuntu 20.045.10.102.1-microsoft-standard-WSL2 (x86_64)X Server + Wayland3.3 Mesa 21.2.61.1.182GCC 9.4.0 + Clang 10.0.0-4ubuntu1ext43520x1080wslProcessorMemoryDiskOSKernelDisplay ServerOpenGLVulkanCompilerFile-SystemScreen ResolutionSystem LayerTest1 BenchmarksSystem Logs- Transparent Huge Pages: always- --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-Av3uEd/gcc-9-9.4.0/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 - CPU Microcode: 0xffffffff- Python 3.8.10- itlb_multihit: KVM: Mitigation of VMX disabled + 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

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200test caffe30K60K90K120K150KSE +/- 1222.04, N = 31491161. (CXX) g++ options: -fPIC -O3 -rdynamic -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas