NVIDIA Jetson AGX Xavier vs. TX2 Thermal + Power

Jetson AGX Xavier thermal and power consumption benchmarking for a future article on Phoronix by Michael Larabel.

HTML result view exported from: https://openbenchmarking.org/result/1812244-SP-JETSON56020.

NVIDIA Jetson AGX Xavier vs. TX2 Thermal + PowerProcessorMotherboardMemoryDiskGraphicsMonitorOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionJetson AGX XavierJetson TX2ARMv8 rev 0 @ 2.27GHz (8 Cores)jetson-xavier16384MB31GB HBG4a2NVIDIA Tegra XavierASUS VP28UUbuntu 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 10.0ext43840x2160ARMv8 rev 3 @ 2.04GHz (4 Cores / 6 Threads)quill8192MB31GB 032G34NVIDIA Tegra X2Ubuntu 16.044.4.38-tegra (aarch64)Unity 7.4.0X Server 1.18.4NVIDIA 28.2.14.5.0GCC 5.4.0 20160609 + CUDA 9.0OpenBenchmarking.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: --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 schedutilDisk Mount Options Details- data=ordered,relatime,rwPython Details- Jetson AGX Xavier: Python 2.7.15rc1 + Python 3.6.5- Jetson TX2: Python 2.7.12 + Python 3.5.2

NVIDIA Jetson AGX Xavier vs. TX2 Thermal + Powertensorrt-inference: AlexNet - INT8 - 32 - Disabledtensorrt-inference: AlexNet - FP16 - 32 - Disabledtensorrt-inference: GoogleNet - INT8 - 32 - Disabledtensorrt-inference: GoogleNet - FP16 - 32 - Disabledtensorrt-inference: VGG16 - INT8 - 32 - Disabledtensorrt-inference: VGG16 - FP16 - 32 - Disabledc-ray: Total Time - 4K, 16 Rays Per Pixelencode-mp3: WAV To MP3encode-flac: WAV To FLACphpbench: PHP Benchmark Suitepybench: Total For Average Test Timesbuild-linux-kernel: Time To Compilesqlite: Timed SQLite Insertionsasmfish: 1024 Hash Memory, 26 Depthcompress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9git: Time To Complete Common Git Commandshimeno: Poisson Pressure Solveropenssl: RSA 4096-bit Performancescikit-learn: darktable: Boat - CPU-onlytscp: AI Chess Performancerust-prime: Prime Number Test To 200,000,000rust-mandel: Time To Complete Serial/Parallel MandelbrotJetson AGX XavierJetson TX229811981162789044624716835.4755.16189005323778978.65819346414712.5327757322528.1766026732.5011030646813222919.5936.7265695.9865.3313363853651552122.14292856531817.87245127174367088107.39251OpenBenchmarking.org

NVIDIA TensorRT Inference

Neural Network: AlexNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: AlexNet - Precision: INT8 - Batch Size: 32 - DLA Cores: DisabledJetson AGX XavierJetson TX26001200180024003000SE +/- 145.87, N = 3SE +/- 1.25, N = 32981306

NVIDIA TensorRT Inference

Neural Network: AlexNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA TensorRT InferenceNeural Network: AlexNet - Precision: INT8 - Batch Size: 32 - DLA Cores: DisabledJetson AGX XavierJetson TX24080120160200193.7133.98

NVIDIA TensorRT Inference

System Power Consumption Monitor

MinAvgMaxJetson AGX Xavier11.615.419.8Jetson TX25.79.016.4OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA TensorRT InferenceSystem Power Consumption Monitor612182430

NVIDIA TensorRT Inference

System Temperature Monitor

MinAvgMaxJetson AGX Xavier36.037.739.0Jetson TX243.045.749.0OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA TensorRT InferenceSystem Temperature Monitor1428425670

NVIDIA TensorRT Inference

Neural Network: AlexNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: AlexNet - Precision: FP16 - Batch Size: 32 - DLA Cores: DisabledJetson AGX XavierJetson TX2400800120016002000SE +/- 23.68, N = 3SE +/- 12.79, N = 31981468

NVIDIA TensorRT Inference

Neural Network: AlexNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA TensorRT InferenceNeural Network: AlexNet - Precision: FP16 - Batch Size: 32 - DLA Cores: DisabledJetson AGX XavierJetson TX2306090120150113.8853.46

NVIDIA TensorRT Inference

System Power Consumption Monitor

MinAvgMaxJetson AGX Xavier12.217.426.5Jetson TX25.98.815.1OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA TensorRT InferenceSystem Power Consumption Monitor816243240

NVIDIA TensorRT Inference

System Temperature Monitor

MinAvgMaxJetson AGX Xavier38.039.841.0Jetson TX247.047.649.0OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA TensorRT InferenceSystem Temperature Monitor1428425670

NVIDIA TensorRT Inference

Neural Network: GoogleNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: GoogleNet - Precision: INT8 - Batch Size: 32 - DLA Cores: DisabledJetson AGX XavierJetson TX230060090012001500SE +/- 25.05, N = 3SE +/- 1.01, N = 31627132

NVIDIA TensorRT Inference

Neural Network: GoogleNet - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA TensorRT InferenceNeural Network: GoogleNet - Precision: INT8 - Batch Size: 32 - DLA Cores: DisabledJetson AGX XavierJetson TX220406080100105.8513.66

NVIDIA TensorRT Inference

System Power Consumption Monitor

MinAvgMaxJetson AGX Xavier11.815.438.9Jetson TX25.39.716.0OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA TensorRT InferenceSystem Power Consumption Monitor1122334455

NVIDIA TensorRT Inference

System Temperature Monitor

MinAvgMaxJetson AGX Xavier39.041.543.5Jetson TX246.548.752.0OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA TensorRT InferenceSystem Temperature Monitor1530456075

NVIDIA TensorRT Inference

Neural Network: GoogleNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: GoogleNet - Precision: FP16 - Batch Size: 32 - DLA Cores: DisabledJetson AGX XavierJetson TX22004006008001000SE +/- 17.85, N = 3SE +/- 7.62, N = 3890229

NVIDIA TensorRT Inference

Neural Network: GoogleNet - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA TensorRT InferenceNeural Network: GoogleNet - Precision: FP16 - Batch Size: 32 - DLA Cores: DisabledJetson AGX XavierJetson TX2122436486053.0223.97

NVIDIA TensorRT Inference

System Power Consumption Monitor

MinAvgMaxJetson AGX Xavier12.016.842.7Jetson TX26.09.615.4OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA TensorRT InferenceSystem Power Consumption Monitor1224364860

NVIDIA TensorRT Inference

System Temperature Monitor

MinAvgMaxJetson AGX Xavier42.544.546.5Jetson TX248.550.252.5OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA TensorRT InferenceSystem Temperature Monitor1530456075

NVIDIA TensorRT Inference

Neural Network: VGG16 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: VGG16 - Precision: INT8 - Batch Size: 32 - DLA Cores: DisabledJetson AGX XavierJetson TX2100200300400500SE +/- 11.20, N = 3SE +/- 0.03, N = 3446.0019.59

NVIDIA TensorRT Inference

Neural Network: VGG16 - Precision: INT8 - Batch Size: 32 - DLA Cores: Disabled

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA TensorRT InferenceNeural Network: VGG16 - Precision: INT8 - Batch Size: 32 - DLA Cores: DisabledJetson AGX XavierJetson TX251015202518.551.42

NVIDIA TensorRT Inference

System Power Consumption Monitor

MinAvgMaxJetson AGX Xavier12.624.143.9Jetson TX25.613.817.5OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA TensorRT InferenceSystem Power Consumption Monitor1224364860

NVIDIA TensorRT Inference

System Temperature Monitor

MinAvgMaxJetson AGX Xavier44.547.350.5Jetson TX249.556.261.0OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA TensorRT InferenceSystem Temperature Monitor20406080100

NVIDIA TensorRT Inference

Neural Network: VGG16 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled

OpenBenchmarking.orgImages Per Second, More Is BetterNVIDIA TensorRT InferenceNeural Network: VGG16 - Precision: FP16 - Batch Size: 32 - DLA Cores: DisabledJetson AGX XavierJetson TX250100150200250SE +/- 0.65, N = 3SE +/- 0.13, N = 3247.0036.72

NVIDIA TensorRT Inference

Neural Network: VGG16 - Precision: FP16 - Batch Size: 32 - DLA Cores: Disabled

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA TensorRT InferenceNeural Network: VGG16 - Precision: FP16 - Batch Size: 32 - DLA Cores: DisabledJetson AGX XavierJetson TX236912159.602.99

NVIDIA TensorRT Inference

System Power Consumption Monitor

MinAvgMaxJetson AGX Xavier11.925.747.1Jetson TX25.812.316.4OpenBenchmarking.orgWatts, Fewer Is BetterNVIDIA TensorRT InferenceSystem Power Consumption Monitor1428425670

NVIDIA TensorRT Inference

System Temperature Monitor

MinAvgMaxJetson AGX Xavier42.545.448.0Jetson TX252.556.560.0OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA TensorRT InferenceSystem Temperature Monitor1632486480

C-Ray

Total Time - 4K, 16 Rays Per Pixel

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelJetson AGX XavierJetson TX2140280420560700SE +/- 0.94, N = 3SE +/- 43.48, N = 31686561. (CC) gcc options: -lm -lpthread -O3

C-Ray

System Power Consumption Monitor

MinAvgMaxJetson AGX Xavier11.825.926.4Jetson TX26.59.19.4OpenBenchmarking.orgWatts, Fewer Is BetterC-Ray 1.1System Power Consumption Monitor816243240

C-Ray

System Temperature Monitor

MinAvgMaxJetson AGX Xavier46.548.649.0Jetson TX252.053.959.0OpenBenchmarking.orgCelsius, Fewer Is BetterC-Ray 1.1System Temperature Monitor1632486480

LAME MP3 Encoding

WAV To MP3

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Jetson AGX XavierJetson TX220406080100SE +/- 0.26, N = 3SE +/- 0.14, N = 335.4795.981. (CC) gcc options: -lm

LAME MP3 Encoding

System Power Consumption Monitor

MinAvgMaxJetson AGX Xavier12.815.315.7Jetson TX25.77.07.1OpenBenchmarking.orgWatts, Fewer Is BetterLAME MP3 Encoding 3.100System Power Consumption Monitor510152025

LAME MP3 Encoding

System Temperature Monitor

MinAvgMaxJetson AGX Xavier40.541.242.0Jetson TX248.049.451.0OpenBenchmarking.orgCelsius, Fewer Is BetterLAME MP3 Encoding 3.100System Temperature Monitor1530456075

FLAC Audio Encoding

WAV To FLAC

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLACJetson AGX XavierJetson TX21530456075SE +/- 0.34, N = 5SE +/- 0.16, N = 555.1665.331. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm

FLAC Audio Encoding

System Power Consumption Monitor

MinAvgMaxJetson AGX Xavier12.215.415.7Jetson TX25.47.17.2OpenBenchmarking.orgWatts, Fewer Is BetterFLAC Audio Encoding 1.3.2System Power Consumption Monitor510152025

FLAC Audio Encoding

System Temperature Monitor

MinAvgMaxJetson AGX Xavier36.538.740.5Jetson TX246.047.348.0OpenBenchmarking.orgCelsius, Fewer Is BetterFLAC Audio Encoding 1.3.2System Temperature Monitor1428425670

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteJetson AGX XavierJetson TX240K80K120K160K200KSE +/- 2893.66, N = 3SE +/- 1322.96, N = 3189005133638

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore Per Watt, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteJetson AGX XavierJetson TX24K8K12K16K20K12317.1819097.64

PHPBench

System Power Consumption Monitor

MinAvgMaxJetson AGX Xavier11.715.315.7Jetson TX25.37.07.2OpenBenchmarking.orgWatts, Fewer Is BetterPHPBench 0.8.1System Power Consumption Monitor510152025

PHPBench

System Temperature Monitor

MinAvgMaxJetson AGX Xavier36.537.238.0Jetson TX245.546.547.0OpenBenchmarking.orgCelsius, Fewer Is BetterPHPBench 0.8.1System Temperature Monitor1428425670

PyBench

Total For Average Test Times

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesJetson AGX XavierJetson TX212002400360048006000SE +/- 8.74, N = 3SE +/- 2.91, N = 332375365

PyBench

System Power Consumption Monitor

MinAvgMaxJetson AGX Xavier12.815.515.7Jetson TX25.57.07.2OpenBenchmarking.orgWatts, Fewer Is BetterPyBench 2018-02-16System Power Consumption Monitor510152025

PyBench

System Temperature Monitor

MinAvgMaxJetson AGX Xavier35.536.537.5Jetson TX244.545.746.5OpenBenchmarking.orgCelsius, Fewer Is BetterPyBench 2018-02-16System Temperature Monitor1428425670

Timed Linux Kernel Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 4.18Time To CompileJetson AGX XavierJetson TX230060090012001500SE +/- 5.38, N = 3SE +/- 3.04, N = 37891552

Timed Linux Kernel Compilation

System Power Consumption Monitor

MinAvgMaxJetson AGX Xavier12.023.925.0Jetson TX25.58.99.3OpenBenchmarking.orgWatts, Fewer Is BetterTimed Linux Kernel Compilation 4.18System Power Consumption Monitor816243240

Timed Linux Kernel Compilation

System Temperature Monitor

MinAvgMaxJetson AGX Xavier35.545.147.0Jetson TX243.550.752.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Linux Kernel Compilation 4.18System Temperature Monitor1530456075

SQLite

Timed SQLite Insertions

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.22Timed SQLite InsertionsJetson AGX XavierJetson TX2306090120150SE +/- 0.97, N = 3SE +/- 0.01, N = 378.65122.141. (CC) gcc options: -O2 -lz -ldl -lpthread

SQLite

System Power Consumption Monitor

MinAvgMaxJetson AGX Xavier12.013.013.4Jetson TX25.25.35.4OpenBenchmarking.orgWatts, Fewer Is BetterSQLite 3.22System Power Consumption Monitor48121620

SQLite

System Temperature Monitor

MinAvgMaxJetson AGX Xavier35.536.938.5Jetson TX242.044.347.0OpenBenchmarking.orgCelsius, Fewer Is BetterSQLite 3.22System Temperature Monitor1428425670

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthJetson AGX XavierJetson TX22M4M6M8M10MSE +/- 59696.43, N = 3SE +/- 47318.56, N = 381934642928565

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second Per Watt, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthJetson AGX XavierJetson TX270K140K210K280K350K322296.99322497.70

asmFish

System Power Consumption Monitor

MinAvgMaxJetson AGX Xavier11.625.425.8Jetson TX28.19.19.3OpenBenchmarking.orgWatts, Fewer Is BetterasmFish 2018-07-23System Power Consumption Monitor816243240

asmFish

System Temperature Monitor

MinAvgMaxJetson AGX Xavier34.545.947.5Jetson TX245.050.352.0OpenBenchmarking.orgCelsius, Fewer Is BetterasmFish 2018-07-23System Temperature Monitor1530456075

XZ Compression

Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9

OpenBenchmarking.orgSeconds, Fewer Is BetterXZ Compression 5.2.4Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9Jetson AGX XavierJetson TX270140210280350SE +/- 0.55, N = 3SE +/- 1.96, N = 31473181. (CC) gcc options: -pthread -fvisibility=hidden -O2

XZ Compression

System Power Consumption Monitor

MinAvgMaxJetson AGX Xavier12.419.021.7Jetson TX25.78.78.9OpenBenchmarking.orgWatts, Fewer Is BetterXZ Compression 5.2.4System Power Consumption Monitor612182430

XZ Compression

System Temperature Monitor

MinAvgMaxJetson AGX Xavier39.541.644.0Jetson TX248.050.150.5OpenBenchmarking.orgCelsius, Fewer Is BetterXZ Compression 5.2.4System Temperature Monitor1428425670

Git

Time To Complete Common Git Commands

OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsJetson AGX XavierJetson TX248121620SE +/- 0.17, N = 3SE +/- 0.10, N = 312.5317.871. Jetson AGX Xavier: git version 2.17.12. Jetson TX2: git version 2.7.4

Git

System Power Consumption Monitor

MinAvgMaxJetson AGX Xavier11.514.615.6Jetson TX25.66.77.2OpenBenchmarking.orgWatts, Fewer Is BetterGitSystem Power Consumption Monitor510152025

Git

System Temperature Monitor

MinAvgMaxJetson AGX Xavier37.038.139.0Jetson TX248.048.249.0OpenBenchmarking.orgCelsius, Fewer Is BetterGitSystem Temperature Monitor1428425670

Himeno Benchmark

Poisson Pressure Solver

OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverJetson AGX XavierJetson TX260120180240300SE +/- 0.18, N = 3SE +/- 1.76, N = 32772451. (CC) gcc options: -O3

Himeno Benchmark

Poisson Pressure Solver

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverJetson AGX XavierJetson TX281624324019.0534.98

Himeno Benchmark

System Power Consumption Monitor

MinAvgMaxJetson AGX Xavier12.414.614.9Jetson TX25.57.07.2OpenBenchmarking.orgWatts, Fewer Is BetterHimeno Benchmark 3.0System Power Consumption Monitor510152025

Himeno Benchmark

System Temperature Monitor

MinAvgMaxJetson AGX Xavier35.536.437.0Jetson TX246.547.448.0OpenBenchmarking.orgCelsius, Fewer Is BetterHimeno Benchmark 3.0System Temperature Monitor1428425670

OpenSSL

RSA 4096-bit Performance

OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceJetson AGX XavierJetson TX2120240360480600SE +/- 5.74, N = 3SE +/- 0.36, N = 35731271. (CC) gcc options: -pthread -O3 -lssl -lcrypto -ldl

OpenSSL

RSA 4096-bit Performance

OpenBenchmarking.orgSigns Per Second Per Watt, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceJetson AGX XavierJetson TX261218243026.1716.38

OpenSSL

System Power Consumption Monitor

MinAvgMaxJetson AGX Xavier12.421.924.0Jetson TX25.47.88.3OpenBenchmarking.orgWatts, Fewer Is BetterOpenSSL 1.1.1System Power Consumption Monitor816243240

OpenSSL

System Temperature Monitor

MinAvgMaxJetson AGX Xavier34.540.041.5Jetson TX247.048.048.5OpenBenchmarking.orgCelsius, Fewer Is BetterOpenSSL 1.1.1System Temperature Monitor1428425670

Scikit-Learn

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.17.1Jetson AGX XavierJetson TX250100150200250SE +/- 0.11, N = 3SE +/- 0.70, N = 3225174

Scikit-Learn

System Power Consumption Monitor

MinAvgMaxJetson AGX Xavier11.816.016.3Jetson TX25.67.17.2OpenBenchmarking.orgWatts, Fewer Is BetterScikit-Learn 0.17.1System Power Consumption Monitor510152025

Scikit-Learn

System Temperature Monitor

MinAvgMaxJetson AGX Xavier35.036.637.5Jetson TX245.546.347.0OpenBenchmarking.orgCelsius, Fewer Is BetterScikit-Learn 0.17.1System Temperature Monitor1428425670

Darktable

Test: Boat - Acceleration: CPU-only

OpenBenchmarking.orgSeconds, Fewer Is BetterDarktable 2.4.2Test: Boat - Acceleration: CPU-onlyJetson AGX Xavier714212835SE +/- 2.12, N = 328.17

Darktable

System Power Consumption Monitor

MinAvgMaxJetson AGX Xavier11.824.630.7OpenBenchmarking.orgWatts, Fewer Is BetterDarktableSystem Power Consumption Monitor918273645

Darktable

System Temperature Monitor

MinAvgMaxJetson AGX Xavier35.541.944.5OpenBenchmarking.orgCelsius, Fewer Is BetterDarktableSystem Temperature Monitor1224364860

TSCP

AI Chess Performance

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceJetson AGX XavierJetson TX2140K280K420K560K700KSE +/- 1845.75, N = 5SE +/- 213.20, N = 56602673670881. (CC) gcc options: -O3 -march=native

TSCP

AI Chess Performance

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterTSCP 1.81AI Chess PerformanceJetson AGX XavierJetson TX213K26K39K52K65K48371.2160776.16

TSCP

System Power Consumption Monitor

MinAvgMaxJetson AGX Xavier12.413.714.3Jetson TX25.26.06.4OpenBenchmarking.orgWatts, Fewer Is BetterTSCP 1.81System Power Consumption Monitor510152025

TSCP

System Temperature Monitor

MinAvgMaxJetson AGX Xavier37.037.337.5Jetson TX244.044.344.5OpenBenchmarking.orgCelsius, Fewer Is BetterTSCP 1.81System Temperature Monitor1224364860

Rust Prime Benchmark

Prime Number Test To 200,000,000

OpenBenchmarking.orgSeconds, Fewer Is BetterRust Prime BenchmarkPrime Number Test To 200,000,000Jetson AGX XavierJetson TX220406080100SE +/- 0.07, N = 3SE +/- 0.11, N = 332.50107.391. (CC) gcc options: -pie -nodefaultlibs -ldl -lrt -lpthread -lgcc_s -lc -lm -lutil

Rust Prime Benchmark

System Power Consumption Monitor

MinAvgMaxJetson AGX Xavier12.818.619.4Jetson TX25.37.57.7OpenBenchmarking.orgWatts, Fewer Is BetterRust Prime BenchmarkSystem Power Consumption Monitor612182430

Rust Prime Benchmark

System Temperature Monitor

MinAvgMaxJetson AGX Xavier37.538.539.0Jetson TX243.545.746.0OpenBenchmarking.orgCelsius, Fewer Is BetterRust Prime BenchmarkSystem Temperature Monitor1224364860

Rust Mandelbrot

Time To Complete Serial/Parallel Mandelbrot

OpenBenchmarking.orgSeconds, Fewer Is BetterRust MandelbrotTime To Complete Serial/Parallel MandelbrotJetson AGX XavierJetson TX250100150200250SE +/- 2.50, N = 3SE +/- 0.83, N = 31102511. (CC) gcc options: -pie -nodefaultlibs -lutil -ldl -lrt -lpthread -lgcc_s -lc -lm

Rust Mandelbrot

System Power Consumption Monitor

MinAvgMaxJetson AGX Xavier13.317.321.8Jetson TX25.67.58.3OpenBenchmarking.orgWatts, Fewer Is BetterRust MandelbrotSystem Power Consumption Monitor612182430

Rust Mandelbrot

System Temperature Monitor

MinAvgMaxJetson AGX Xavier35.537.540.0Jetson TX244.546.347.5OpenBenchmarking.orgCelsius, Fewer Is BetterRust MandelbrotSystem Temperature Monitor1428425670

Meta Performance Per Watt

Performance Per Watt

OpenBenchmarking.orgPerformance Per Watt, More Is BetterMeta Performance Per WattPerformance Per WattJetson AGX XavierJetson TX2200K400K600K800K1000K822887.13311895.90

System Power Consumption Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System MonitoringJetson AGX XavierJetson TX21020304050Min: 11.5 / Avg: 20.65 / Max: 47.1Min: 5.1 / Avg: 8.99 / Max: 17.5

System Temperature Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgCelsiusSystem Temperature MonitorPhoronix Test Suite System MonitoringJetson AGX XavierJetson TX21224364860Min: 34 / Avg: 42.47 / Max: 50.5Min: 42 / Avg: 50.5 / Max: 61


Phoronix Test Suite v10.8.4