Jetson TX2 Caffe

Tests for a future article.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 1703133-RI-JETSONTX201
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Jetson TX2 Max-P
March 12 2017
 
Jetson TX2 Max-Q
March 12 2017
 
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Jetson TX2 CaffeProcessorMotherboardMemoryDiskGraphicsOSKernelDesktopDisplay ServerDisplay DriverVulkanCompilerFile-SystemScreen ResolutionOpenGLJetson TX2 Max-PJetson TX2 Max-QARMv8 rev 3 @ 2.00GHz (6 Cores)quill8192MB31GB 032G34NVIDIA TEGRAUbuntu 16.044.4.15-tegra (aarch64)Unity 7.4.0X Server 1.18.3NVIDIA 1.0.01.0.8GCC 5.4.0 20160609 + CUDA 8.0ext43840x21604.5.0OpenBenchmarking.orgCompiler Details- --build=aarch64-linux-gnu --disable-browser-plugin --disable-libquadmath --disable-werror --enable-checking=release --enable-clocale=gnu --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-gtk-cairo --enable-java-awt=gtk --enable-java-home --enable-languages=c,ada,c++,java,go,d,fortran,objc,obj-c++ --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-nls --enable-plugin --enable-shared --enable-threads=posix --host=aarch64-linux-gnu --target=aarch64-linux-gnu --with-arch-directory=aarch64 --with-default-libstdcxx-abi=new -v Processor Details- Scaling Governor: tegra_cpufreq schedutil

Caffe

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

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2016-12-29Build: CUDA AlexNetJetson TX2 Max-PJetson TX2 Max-Q40K80K120K160K200KSE +/- 117.75, N = 3SE +/- 75.77, N = 31431441790311. (CXX) g++ options: -pthread -fPIC -O2 -lcaffe -lglog -lgflags -lprotobuf -lboost_system -lboost_filesystem -lm -lhdf5_hl -lhdf5 -lleveldb -lsnappy -llmdb -lopencv_core -lopencv_highgui -lopencv_imgproc -lboost_thread -lstdc++ -lcblas -latlas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2016-12-29Build: CUDA AlexNetJetson TX2 Max-PJetson TX2 Max-Q30K60K90K120K150KMin: 142933 / Avg: 143144.33 / Max: 143340Min: 178939 / Avg: 179030.67 / Max: 1791811. (CXX) g++ options: -pthread -fPIC -O2 -lcaffe -lglog -lgflags -lprotobuf -lboost_system -lboost_filesystem -lm -lhdf5_hl -lhdf5 -lleveldb -lsnappy -llmdb -lopencv_core -lopencv_highgui -lopencv_imgproc -lboost_thread -lstdc++ -lcblas -latlas

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2016-12-29Build: CUDA GooglenetJetson TX2 Max-PJetson TX2 Max-Q80K160K240K320K400KSE +/- 266.95, N = 3SE +/- 395.20, N = 33015673823711. (CXX) g++ options: -pthread -fPIC -O2 -lcaffe -lglog -lgflags -lprotobuf -lboost_system -lboost_filesystem -lm -lhdf5_hl -lhdf5 -lleveldb -lsnappy -llmdb -lopencv_core -lopencv_highgui -lopencv_imgproc -lboost_thread -lstdc++ -lcblas -latlas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2016-12-29Build: CUDA GooglenetJetson TX2 Max-PJetson TX2 Max-Q70K140K210K280K350KMin: 301116 / Avg: 301567.33 / Max: 302040Min: 381686 / Avg: 382371.33 / Max: 3830551. (CXX) g++ options: -pthread -fPIC -O2 -lcaffe -lglog -lgflags -lprotobuf -lboost_system -lboost_filesystem -lm -lhdf5_hl -lhdf5 -lleveldb -lsnappy -llmdb -lopencv_core -lopencv_highgui -lopencv_imgproc -lboost_thread -lstdc++ -lcblas -latlas