Jetson TX1 vs. TX2 Caffe

Tests for a future article.

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Jetson TX1
March 13 2017
 
Jetson TX2 Max-Q
March 12 2017
 
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March 12 2017
 
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Jetson TX1 vs. TX2 CaffeProcessorMotherboardMemoryDiskGraphicsOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionJetson TX1Jetson TX2 Max-QJetson TX2 Max-PARMv8 rev 1 @ 1.73GHz (4 Cores)jetson_tx14096MB16GB 016G32NVIDIA Tegra X1 (nvgpu)/Ubuntu 16.043.10.96-tegra (aarch64)Unity 7.4.0X Server 1.18.3NVIDIA 24.2.14.5.01.0.8GCC 5.4.0 20160609 + CUDA 8.0ext43840x2160ARMv8 rev 3 @ 2.00GHz (6 Cores)quill8192MB31GB 032G34NVIDIA TEGRA4.4.15-tegra (aarch64)NVIDIA 1.0.0OpenBenchmarking.orgEnvironment Details- Jetson TX1: __GL_PERFMON_MODE=1Compiler 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- Jetson TX1: Scaling Governor: tegra interactive- Jetson TX2 Max-Q: Scaling Governor: tegra_cpufreq schedutil- Jetson TX2 Max-P: 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 TX1Jetson TX2 Max-QJetson TX2 Max-P40K80K120K160K200KSE +/- 1130.47, N = 3SE +/- 75.77, N = 3SE +/- 117.75, N = 32042051790311431441. (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 x Core, Fewer Is BetterCaffe 2016-12-29Performance Per Core - Build: CUDA AlexNetJetson TX1Jetson TX2 Max-QJetson TX2 Max-P200K400K600K800K1000K81682010741868588641. Jetson TX1: Detected core count of 42. Jetson TX2 Max-Q: Detected core count of 63. Jetson TX2 Max-P: Detected core count of 6
OpenBenchmarking.orgMilli-Seconds x GHz, Fewer Is BetterCaffe 2016-12-29Performance Per Clock - Build: CUDA AlexNetJetson TX1Jetson TX2 Max-QJetson TX2 Max-P80K160K240K320K400K353274.65358062.00286288.001. Jetson TX1: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.732. Jetson TX2 Max-Q: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00 3. Jetson TX2 Max-P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2016-12-29Build: CUDA AlexNetJetson TX1Jetson TX2 Max-QJetson TX2 Max-P40K80K120K160K200KMin: 202062 / Avg: 204204.67 / Max: 205901Min: 178939 / Avg: 179030.67 / Max: 179181Min: 142933 / Avg: 143144.33 / Max: 1433401. (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 TX1Jetson TX2 Max-QJetson TX2 Max-P90K180K270K360K450KSE +/- 369.46, N = 3SE +/- 395.20, N = 3SE +/- 266.95, N = 34316043823713015671. (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 x Core, Fewer Is BetterCaffe 2016-12-29Performance Per Core - Build: CUDA GooglenetJetson TX1Jetson TX2 Max-QJetson TX2 Max-P500K1000K1500K2000K2500K1726416229422618094021. Jetson TX1: Detected core count of 42. Jetson TX2 Max-Q: Detected core count of 63. Jetson TX2 Max-P: Detected core count of 6
OpenBenchmarking.orgMilli-Seconds x GHz, Fewer Is BetterCaffe 2016-12-29Performance Per Clock - Build: CUDA GooglenetJetson TX1Jetson TX2 Max-QJetson TX2 Max-P160K320K480K640K800K746674.92764742.00603134.001. Jetson TX1: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 1.732. Jetson TX2 Max-Q: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00 3. Jetson TX2 Max-P: Detected GHz base clock speed (use PTS sensors for real-time frequency/sensor reporting) count of 2.00
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2016-12-29Build: CUDA GooglenetJetson TX1Jetson TX2 Max-QJetson TX2 Max-P70K140K210K280K350KMin: 430882 / Avg: 431603.67 / Max: 432102Min: 381686 / Avg: 382371.33 / Max: 383055Min: 301116 / Avg: 301567.33 / Max: 3020401. (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