Jetson Prep

ARMv8 rev 1 testing with a jetson_tx1 and NVIDIA Tegra X1 on Ubuntu 16.04 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 1903178-SP-1903167SP11
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C/C++ Compiler Tests 4 Tests
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  Test
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Jetson AGX Xavier
March 15 2019
  4 Hours, 1 Minute
Jetson TX2 Max-P
March 15 2019
  6 Hours, 25 Minutes
Jetson TX2 Max-Q
March 16 2019
  7 Hours, 23 Minutes
Raspberry Pi 3 Model B+
March 16 2019
  4 Hours, 32 Minutes
ASUS TinkerBoard
March 16 2019
  7 Hours, 20 Minutes
Jetson TX1 Max-P
March 17 2019
  1 Hour, 20 Minutes
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  5 Hours, 10 Minutes

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Jetson PrepProcessorMotherboardMemoryDiskGraphicsMonitorOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-QRaspberry Pi 3 Model B+ASUS TinkerBoardJetson TX1 Max-PARMv8 rev 0 @ 2.27GHz (8 Cores)jetson-xavier16384MB31GB HBG4a2NVIDIA Tegra XavierVE228Ubuntu 18.044.9.108-tegra (aarch64)Unity 7.5.0X Server 1.19.6NVIDIA 31.0.24.6.01.1.76GCC 7.3.0 + CUDA 10.0ext41920x1080ARMv8 rev 3 @ 2.04GHz (4 Cores / 6 Threads)quill8192MB31GB 032G34NVIDIA TEGRAUbuntu 16.044.4.38-tegra (aarch64)Unity 7.4.0X Server 1.18.4NVIDIA 28.2.14.5.0GCC 5.4.0 20160609 + CUDA 9.0ARMv8 rev 3 @ 1.27GHz (4 Cores / 6 Threads)ARMv7 rev 4 @ 1.40GHz (4 Cores)BCM2835 Raspberry Pi 3 Model B Plus Rev 1.3926MB32GB GB2MWBCM2708Raspbian 9.64.19.23-v7+ (armv7l)LXDEX Server 1.19.2GCC 6.3.0 20170516656x416ARMv7 rev 1 @ 1.80GHz (4 Cores)Rockchip (Device Tree)2048MB32GB GB1QTDebian 9.04.4.16-00006-g4431f98-dirty (armv7l)X Server 1.18.41024x768ARMv8 rev 1 @ 1.73GHz (4 Cores)jetson_tx14096MB16GB 016G32NVIDIA Tegra X1VE228Ubuntu 16.044.4.38-tegra (aarch64)Unity 7.4.5NVIDIA 28.1.04.5.01.0.8GCC 5.4.0 201606091920x1080OpenBenchmarking.orgCompiler Details- Jetson AGX Xavier: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-fix-cortex-a53-843419 --enable-gnu-unique-object --enable-languages=c,ada,c++,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 --program-prefix=aarch64-linux-gnu- --target=aarch64-linux-gnu --with-default-libstdcxx-abi=new --with-gcc-major-version-only -v - Jetson TX2 Max-P: --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 - Jetson TX2 Max-Q: --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 - Raspberry Pi 3 Model B+: --build=arm-linux-gnueabihf --disable-browser-plugin --disable-libitm --disable-libquadmath --disable-sjlj-exceptions --enable-checking=release --enable-clocale=gnu --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-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=arm-linux-gnueabihf --program-prefix=arm-linux-gnueabihf- --target=arm-linux-gnueabihf --with-arch-directory=arm --with-arch=armv6 --with-default-libstdcxx-abi=new --with-float=hard --with-fpu=vfp --with-target-system-zlib -v - ASUS TinkerBoard: --build=arm-linux-gnueabihf --disable-browser-plugin --disable-libitm --disable-libquadmath --disable-sjlj-exceptions --enable-checking=release --enable-clocale=gnu --enable-default-pie --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-objc-gc=auto --enable-plugin --enable-shared --enable-threads=posix --host=arm-linux-gnueabihf --program-prefix=arm-linux-gnueabihf- --target=arm-linux-gnueabihf --with-arch-directory=arm --with-arch=armv7-a --with-default-libstdcxx-abi=new --with-float=hard --with-fpu=vfpv3-d16 --with-mode=thumb --with-target-system-zlib -v - Jetson TX1 Max-P: --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 AGX Xavier: Scaling Governor: tegra_cpufreq schedutil- Jetson TX2 Max-P: Scaling Governor: tegra_cpufreq schedutil- Jetson TX2 Max-Q: Scaling Governor: tegra_cpufreq schedutil- Raspberry Pi 3 Model B+: Scaling Governor: BCM2835 Freq ondemand- ASUS TinkerBoard: Scaling Governor: cpufreq-dt interactive- Jetson TX1 Max-P: Scaling Governor: tegra-cpufreq interactivePython Details- Jetson AGX Xavier: Python 2.7.15rc1 + Python 3.6.7- Jetson TX2 Max-P: Python 2.7.12 + Python 3.5.2- Jetson TX2 Max-Q: Python 2.7.12 + Python 3.5.2- Raspberry Pi 3 Model B+: Python 2.7.13 + Python 3.5.3- ASUS TinkerBoard: Python 2.7.13 + Python 3.5.3- Jetson TX1 Max-P: Python 2.7.12 + Python 3.5.2

Jetson AGX XavierJetson TX2 Max-PJetson TX2 Max-QRaspberry Pi 3 Model B+ASUS TinkerBoardJetson TX1 Max-PLogarithmic Result OverviewPhoronix Test Suite7-Zip CompressionTTSIOD 3D RendererPyBenchFLAC Audio EncodingZstd CompressionRust Prime BenchmarkC-Ray

Jetson Preptensorrt-inference: ResNet50 - INT8 - 4 - Disabledencode-flac: WAV To FLACtensorrt-inference: ResNet50 - FP16 - 4 - Disabledtensorrt-inference: GoogleNet - FP16 - 32 - Disabledtensorrt-inference: ResNet152 - FP16 - 32 - Disabledtensorrt-inference: ResNet152 - FP16 - 4 - Disabledtensorrt-inference: ResNet50 - FP16 - 32 - Disabledtensorrt-inference: VGG16 - INT8 - 32 - Disabledtensorrt-inference: VGG19 - FP16 - 32 - Disabledtensorrt-inference: VGG19 - INT8 - 4 - Disabledtensorrt-inference: VGG16 - FP16 - 32 - Disabledtensorrt-inference: VGG19 - FP16 - 4 - Disabledtensorrt-inference: VGG16 - INT8 - 4 - Disabledtensorrt-inference: VGG16 - FP16 - 4 - Disabledtensorrt-inference: GoogleNet - FP16 - 4 - Disabledtensorrt-inference: VGG19 - INT8 - 32 - Disabledtensorrt-inference: GoogleNet - INT8 - 4 - Disabledtensorrt-inference: AlexNet - FP16 - 4 - Disabledglmark2: 1920 x 1080tensorrt-inference: AlexNet - INT8 - 4 - Disabledtensorrt-inference: ResNet50 - INT8 - 32 - Disabledtensorrt-inference: AlexNet - FP16 - 32 - Disabledtensorrt-inference: GoogleNet - INT8 - 32 - Disabledtensorrt-inference: AlexNet - INT8 - 32 - Disabledtensorrt-inference: ResNet152 - INT8 - 32 - Disabledtensorrt-inference: ResNet152 - INT8 - 4 - Disabledtesseract-ocr: Time To OCR 7 Imageslczero: BLAScuda-mini-nbody: Originallczero: CUDA + cuDNNlczero: CUDA + cuDNN FP16rust-prime: Prime Number Test To 200,000,000compress-7zip: Compress Speed Testcompress-zstd: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 19c-ray: Total Time - 4K, 16 Rays Per Pixelttsiod-renderer: Phong Rendering With Soft-Shadow Mappingopencv-bench: pybench: Total For Average Test TimesJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-QRaspberry Pi 3 Model B+ASUS TinkerBoardJetson TX1 Max-P902.7854.47547.501006259.82224.19636475.08203.96265.81247.95172.50303.78208.76796394.6611461200287611431215.08203816933143493.22372.7371.9447.6247.13952.892515.0132.371921280.06355133128300749.9765.0792.2823341.9135.1111119.9129.8314.3236.8726.5617.5632.6419715.9211326418459.6946213030122.0718.298.24104.965593144.9758549.26296540839.15104.2872.0117932.6727.3486.0815.7923.9411.4529.8321.0414.2425.9915612.5988.8821614847.1537410423717.3614.506.77170.253294253.8086928.854938735339.531097.692013342.23203017.662.7420913279.051821.052836496.62171821.221150279.20128.454508145.8075345.096339OpenBenchmarking.org

NVIDIA TensorRT Inference

This test profile uses any existing system installation of NVIDIA TensorRT for carrying out inference benchmarks with various neural networks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: ResNet50 - Precision: INT8 - Batch Size: 4 - DLA Cores: DisabledJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-Q2004006008001000SE +/- 1.86, N = 3SE +/- 0.79, N = 4SE +/- 0.64, N = 3902.7849.9739.15

FLAC Audio Encoding

This test times how long it takes to encode a sample WAV file to FLAC format five times. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLACJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-QRaspberry Pi 3 Model B+ASUS TinkerBoardJetson TX1 Max-P70140210280350SE +/- 0.61, N = 5SE +/- 0.15, N = 5SE +/- 0.18, N = 5SE +/- 0.98, N = 5SE +/- 2.51, N = 5SE +/- 0.74, N = 554.4765.07104.28339.53279.0579.201. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm

NVIDIA TensorRT Inference

This test profile uses any existing system installation of NVIDIA TensorRT for carrying out inference benchmarks with various neural networks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: ResNet50 - Precision: FP16 - Batch Size: 4 - DLA Cores: DisabledJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-Q120240360480600SE +/- 0.03, N = 3SE +/- 1.32, N = 12SE +/- 1.10, N = 12547.5092.2872.01

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: GoogleNet - Precision: FP16 - Batch Size: 32 - DLA Cores: DisabledJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-Q2004006008001000SE +/- 0.21, N = 3SE +/- 4.50, N = 3SE +/- 2.17, N = 81006233179

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: ResNet152 - Precision: FP16 - Batch Size: 32 - DLA Cores: DisabledJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-Q60120180240300SE +/- 0.26, N = 3SE +/- 0.07, N = 3SE +/- 0.10, N = 3259.8241.9132.67

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: ResNet152 - Precision: FP16 - Batch Size: 4 - DLA Cores: DisabledJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-Q50100150200250SE +/- 0.22, N = 3SE +/- 0.36, N = 3SE +/- 0.34, N = 3224.1935.1127.34

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: ResNet50 - Precision: FP16 - Batch Size: 32 - DLA Cores: DisabledJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-Q140280420560700SE +/- 1.23, N = 3SE +/- 1.22, N = 3SE +/- 0.86, N = 3636.00111.0086.08

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: VGG16 - Precision: INT8 - Batch Size: 32 - DLA Cores: DisabledJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-Q100200300400500SE +/- 0.10, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 3475.0819.9115.79

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: VGG19 - Precision: FP16 - Batch Size: 32 - DLA Cores: DisabledJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-Q4080120160200SE +/- 0.04, N = 3SE +/- 0.05, N = 3SE +/- 0.07, N = 3203.9629.8323.94

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: VGG19 - Precision: INT8 - Batch Size: 4 - DLA Cores: DisabledJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-Q60120180240300SE +/- 0.20, N = 3SE +/- 0.25, N = 4SE +/- 0.23, N = 3265.8114.3211.45

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: VGG16 - Precision: FP16 - Batch Size: 32 - DLA Cores: DisabledJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-Q50100150200250SE +/- 0.12, N = 3SE +/- 0.31, N = 3SE +/- 0.18, N = 3247.9536.8729.83

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: VGG19 - Precision: FP16 - Batch Size: 4 - DLA Cores: DisabledJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-Q4080120160200SE +/- 0.50, N = 3SE +/- 0.38, N = 3SE +/- 0.34, N = 3172.5026.5621.04

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: VGG16 - Precision: INT8 - Batch Size: 4 - DLA Cores: DisabledJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-Q70140210280350SE +/- 0.46, N = 3SE +/- 0.25, N = 6SE +/- 0.20, N = 5303.7817.5614.24

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: VGG16 - Precision: FP16 - Batch Size: 4 - DLA Cores: DisabledJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-Q50100150200250SE +/- 0.10, N = 3SE +/- 0.50, N = 4SE +/- 0.13, N = 3208.7632.6425.99

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: GoogleNet - Precision: FP16 - Batch Size: 4 - DLA Cores: DisabledJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-Q2004006008001000SE +/- 2.48, N = 3SE +/- 2.27, N = 3SE +/- 1.90, N = 12796197156

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: VGG19 - Precision: INT8 - Batch Size: 32 - DLA Cores: DisabledJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-Q90180270360450SE +/- 0.23, N = 3SE +/- 0.06, N = 3SE +/- 0.03, N = 3394.6615.9212.59

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: GoogleNet - Precision: INT8 - Batch Size: 4 - DLA Cores: DisabledJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-Q2004006008001000SE +/- 4.31, N = 3SE +/- 1.65, N = 3SE +/- 1.32, N = 31146.00113.0088.88

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: AlexNet - Precision: FP16 - Batch Size: 4 - DLA Cores: DisabledJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-Q30060090012001500SE +/- 1.82, N = 3SE +/- 7.77, N = 12SE +/- 3.03, N = 61200264216

GLmark2

This is a test of any system-installed GLMark2 OpenGL benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterGLmark2Resolution: 1920 x 1080Jetson AGX Xavier60012001800240030002876

NVIDIA TensorRT Inference

This test profile uses any existing system installation of NVIDIA TensorRT for carrying out inference benchmarks with various neural networks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: AlexNet - Precision: INT8 - Batch Size: 4 - DLA Cores: DisabledJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-Q2004006008001000SE +/- 2.59, N = 3SE +/- 2.79, N = 5SE +/- 0.91, N = 31143184148

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: ResNet50 - Precision: INT8 - Batch Size: 32 - DLA Cores: DisabledJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-Q30060090012001500SE +/- 0.25, N = 3SE +/- 0.04, N = 3SE +/- 0.08, N = 31215.0859.6947.15

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: AlexNet - Precision: FP16 - Batch Size: 32 - DLA Cores: DisabledJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-Q400800120016002000SE +/- 2.07, N = 3SE +/- 7.68, N = 12SE +/- 2.82, N = 32038462374

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: GoogleNet - Precision: INT8 - Batch Size: 32 - DLA Cores: DisabledJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-Q400800120016002000SE +/- 8.72, N = 3SE +/- 0.74, N = 3SE +/- 0.07, N = 31693130104

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: AlexNet - Precision: INT8 - Batch Size: 32 - DLA Cores: DisabledJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-Q7001400210028003500SE +/- 1.06, N = 3SE +/- 0.52, N = 3SE +/- 1.39, N = 33143301237

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: ResNet152 - Precision: INT8 - Batch Size: 32 - DLA Cores: DisabledJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-Q110220330440550SE +/- 0.81, N = 3SE +/- 0.03, N = 3SE +/- 0.00, N = 3493.2222.0717.36

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: ResNet152 - Precision: INT8 - Batch Size: 4 - DLA Cores: DisabledJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-Q80160240320400SE +/- 1.59, N = 3SE +/- 0.14, N = 3SE +/- 0.15, N = 3372.7318.2914.50

Tesseract OCR

Tesseract-OCR is the open-source optical character recognition (OCR) engine for the conversion of text within images to raw text output. This test profile relies upon a system-supplied Tesseract installation. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTesseract OCR 4.0.0-beta.1Time To OCR 7 ImagesJetson AGX Xavier1632486480SE +/- 0.89, N = 371.94

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.20.1Backend: BLASJetson AGX Xavier1122334455SE +/- 0.62, N = 747.621. (CXX) g++ options: -lpthread -lz

CUDA Mini-Nbody

OpenBenchmarking.org(NBody^2)/s, More Is BetterCUDA Mini-Nbody 2015-11-10Test: OriginalJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-Q1122334455SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 347.138.246.77

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.20.1Backend: CUDA + cuDNNJetson AGX Xavier2004006008001000SE +/- 6.14, N = 3952.891. (CXX) g++ options: -lpthread -lz

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.20.1Backend: CUDA + cuDNN FP16Jetson AGX Xavier5001000150020002500SE +/- 7.60, N = 32515.011. (CXX) g++ options: -lpthread -lz

Rust Prime Benchmark

Based on petehunt/rust-benchmark, this is a prime number benchmark that is multi-threaded and written in Rustlang. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRust Prime BenchmarkPrime Number Test To 200,000,000Jetson AGX XavierJetson TX2 Max-PJetson TX2 Max-QRaspberry Pi 3 Model B+ASUS TinkerBoardJetson TX1 Max-P400800120016002000SE +/- 0.00, N = 3SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 1.55, N = 3SE +/- 187.90, N = 6SE +/- 0.77, N = 332.37104.96170.251097.691821.05128.451. (CC) gcc options: -pie -nodefaultlibs

7-Zip Compression

This is a test of 7-Zip using p7zip with its integrated benchmark feature or upstream 7-Zip for the Windows x64 build. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMIPS, More Is Better7-Zip Compression 16.02Compress Speed TestJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-QRaspberry Pi 3 Model B+ASUS TinkerBoardJetson TX1 Max-P4K8K12K16K20KSE +/- 274.18, N = 12SE +/- 20.85, N = 3SE +/- 13.05, N = 3SE +/- 23.74, N = 11SE +/- 34.93, N = 3SE +/- 13.43, N = 319212559332942013283645081. (CXX) g++ options: -pipe -lpthread

Zstd Compression

This test measures the time needed to compress a sample file (an Ubuntu file-system image) using Zstd compression. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterZstd Compression 1.3.4Compressing ubuntu-16.04.3-server-i386.img, Compression Level 19Jetson AGX XavierJetson TX2 Max-PJetson TX2 Max-QRaspberry Pi 3 Model B+ASUS TinkerBoardJetson TX1 Max-P110220330440550SE +/- 0.91, N = 3SE +/- 0.29, N = 3SE +/- 1.02, N = 3SE +/- 1.03, N = 3SE +/- 2.16, N = 3SE +/- 0.42, N = 380.06144.97253.80342.23496.62145.801. (CC) gcc options: -O3 -pthread -lz -llzma

C-Ray

This is a test of C-Ray, a simple raytracer designed to test the floating-point CPU performance. This test is multi-threaded (16 threads per core), will shoot 8 rays per pixel for anti-aliasing, and will generate a 1600 x 1200 image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-QRaspberry Pi 3 Model B+ASUS TinkerBoardJetson TX1 Max-P400800120016002000SE +/- 7.17, N = 9SE +/- 49.09, N = 9SE +/- 1.44, N = 3SE +/- 2.46, N = 3SE +/- 22.09, N = 3SE +/- 10.23, N = 3355585869203017187531. (CC) gcc options: -lm -lpthread -O3

TTSIOD 3D Renderer

A portable GPL 3D software renderer that supports OpenMP and Intel Threading Building Blocks with many different rendering modes. This version does not use OpenGL but is entirely CPU/software based. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFPS, More Is BetterTTSIOD 3D Renderer 2.3bPhong Rendering With Soft-Shadow MappingJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-QRaspberry Pi 3 Model B+ASUS TinkerBoardJetson TX1 Max-P306090120150SE +/- 1.63, N = 12SE +/- 0.15, N = 3SE +/- 0.46, N = 4SE +/- 0.16, N = 3SE +/- 0.27, N = 9SE +/- 0.04, N = 3133.0049.2628.8517.6621.2245.091. (CXX) g++ options: -O3 -fomit-frame-pointer -ffast-math -mtune=native -flto -lSDL -fopenmp -fwhole-program -lstdc++

OpenCV Benchmark

Stress benchmark tests to measure time consumed by the OpenCV libraries installed Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterOpenCV Benchmark 3.3.0Jetson AGX XavierJetson TX2 Max-PJetson TX2 Max-QRaspberry Pi 3 Model B+110220330440550SE +/- 1.57, N = 3SE +/- 0.27, N = 3SE +/- 5.74, N = 3128.00296.00493.002.741. (CXX) g++ options: -std=c++11 -rdynamic

PyBench

This test profile reports the total time of the different average timed test results from PyBench. PyBench reports average test times for different functions such as BuiltinFunctionCalls and NestedForLoops, with this total result providing a rough estimate as to Python's average performance on a given system. This test profile runs PyBench each time for 20 rounds. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesJetson AGX XavierJetson TX2 Max-PJetson TX2 Max-QRaspberry Pi 3 Model B+ASUS TinkerBoardJetson TX1 Max-P4K8K12K16K20KSE +/- 4.67, N = 3SE +/- 33.86, N = 3SE +/- 42.52, N = 3SE +/- 43.80, N = 3SE +/- 854.75, N = 9SE +/- 18.55, N = 330075408873520913115026339