NVIDIA Jetson AGX Xavier Thermal + Power

ARMv8 rev 0 testing with a jetson-xavier and NVIDIA Tegra Xavier on Ubuntu 18.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/1812245-SP-NVIDIAJET57.

NVIDIA Jetson AGX Xavier Thermal + PowerProcessorMotherboardMemoryDiskGraphicsMonitorOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionJetson AGX XavierARMv8 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 10.0ext43840x2160OpenBenchmarking.org- --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 - Scaling Governor: tegra_cpufreq schedutil- data=ordered,relatime,rw- Python 2.7.15rc1 + Python 3.6.5

NVIDIA Jetson AGX Xavier 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 Xavier29811981162789044624716835.4755.161890053237788.6078.65819346414712.53277.4157322528.1766026732.50109.80OpenBenchmarking.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 Xavier6001200180024003000SE +/- 145.87, N = 32981

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 Xavier4080120160200193.71

NVIDIA TensorRT Inference

System Power Consumption Monitor

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

NVIDIA TensorRT Inference

System Temperature Monitor

MinAvgMaxJetson AGX Xavier36.037.739.0OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA TensorRT InferenceSystem Temperature Monitor1122334455

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 Xavier400800120016002000SE +/- 23.68, N = 31981

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 Xavier306090120150113.88

NVIDIA TensorRT Inference

System Power Consumption Monitor

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

NVIDIA TensorRT Inference

System Temperature Monitor

MinAvgMaxJetson AGX Xavier38.039.841.0OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA TensorRT InferenceSystem Temperature Monitor1122334455

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 Xavier30060090012001500SE +/- 25.05, N = 31627

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 Xavier20406080100105.85

NVIDIA TensorRT Inference

System Power Consumption Monitor

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

NVIDIA TensorRT Inference

System Temperature Monitor

MinAvgMaxJetson AGX Xavier39.041.543.5OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA TensorRT InferenceSystem Temperature Monitor1224364860

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 Xavier2004006008001000SE +/- 17.85, N = 3890

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 Xavier122436486053.02

NVIDIA TensorRT Inference

System Power Consumption Monitor

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

NVIDIA TensorRT Inference

System Temperature Monitor

MinAvgMaxJetson AGX Xavier42.544.546.5OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA TensorRT InferenceSystem Temperature Monitor1428425670

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 Xavier100200300400500SE +/- 11.20, N = 3446

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 Xavier51015202518.55

NVIDIA TensorRT Inference

System Power Consumption Monitor

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

NVIDIA TensorRT Inference

System Temperature Monitor

MinAvgMaxJetson AGX Xavier44.547.350.5OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA TensorRT InferenceSystem Temperature Monitor1428425670

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 Xavier50100150200250SE +/- 0.65, N = 3247

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 Xavier36912159.60

NVIDIA TensorRT Inference

System Power Consumption Monitor

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

NVIDIA TensorRT Inference

System Temperature Monitor

MinAvgMaxJetson AGX Xavier42.545.448.0OpenBenchmarking.orgCelsius, Fewer Is BetterNVIDIA TensorRT InferenceSystem Temperature Monitor1428425670

C-Ray

Total Time - 4K, 16 Rays Per Pixel

OpenBenchmarking.orgSeconds, Fewer Is BetterC-Ray 1.1Total Time - 4K, 16 Rays Per PixelJetson AGX Xavier4080120160200SE +/- 0.94, N = 31681. (CC) gcc options: -lm -lpthread -O3

C-Ray

System Power Consumption Monitor

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

C-Ray

System Temperature Monitor

MinAvgMaxJetson AGX Xavier46.548.649.0OpenBenchmarking.orgCelsius, Fewer Is BetterC-Ray 1.1System Temperature Monitor1428425670

LAME MP3 Encoding

WAV To MP3

OpenBenchmarking.orgSeconds, Fewer Is BetterLAME MP3 Encoding 3.100WAV To MP3Jetson AGX Xavier816243240SE +/- 0.26, N = 335.471. (CC) gcc options: -lm

LAME MP3 Encoding

System Power Consumption Monitor

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

LAME MP3 Encoding

System Temperature Monitor

MinAvgMaxJetson AGX Xavier40.541.242.0OpenBenchmarking.orgCelsius, Fewer Is BetterLAME MP3 Encoding 3.100System Temperature Monitor1224364860

FLAC Audio Encoding

WAV To FLAC

OpenBenchmarking.orgSeconds, Fewer Is BetterFLAC Audio Encoding 1.3.2WAV To FLACJetson AGX Xavier1224364860SE +/- 0.34, N = 555.161. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm

FLAC Audio Encoding

System Power Consumption Monitor

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

FLAC Audio Encoding

System Temperature Monitor

MinAvgMaxJetson AGX Xavier36.538.740.5OpenBenchmarking.orgCelsius, Fewer Is BetterFLAC Audio Encoding 1.3.2System Temperature Monitor1122334455

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteJetson AGX Xavier40K80K120K160K200KSE +/- 2893.66, N = 3189005

PHPBench

PHP Benchmark Suite

OpenBenchmarking.orgScore Per Watt, More Is BetterPHPBench 0.8.1PHP Benchmark SuiteJetson AGX Xavier3K6K9K12K15K12317.18

PHPBench

System Power Consumption Monitor

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

PHPBench

System Temperature Monitor

MinAvgMaxJetson AGX Xavier36.537.238.0OpenBenchmarking.orgCelsius, Fewer Is BetterPHPBench 0.8.1System Temperature Monitor1122334455

PyBench

Total For Average Test Times

OpenBenchmarking.orgMilliseconds, Fewer Is BetterPyBench 2018-02-16Total For Average Test TimesJetson AGX Xavier7001400210028003500SE +/- 8.74, N = 33237

PyBench

System Power Consumption Monitor

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

PyBench

System Temperature Monitor

MinAvgMaxJetson AGX Xavier35.536.537.5OpenBenchmarking.orgCelsius, Fewer Is BetterPyBench 2018-02-16System Temperature Monitor1122334455

Timed Linux Kernel Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 4.18Time To CompileJetson AGX Xavier2004006008001000SE +/- 5.38, N = 3788.60

Timed Linux Kernel Compilation

System Power Consumption Monitor

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

Timed Linux Kernel Compilation

System Temperature Monitor

MinAvgMaxJetson AGX Xavier35.545.147.0OpenBenchmarking.orgCelsius, Fewer Is BetterTimed Linux Kernel Compilation 4.18System Temperature Monitor1428425670

SQLite

Timed SQLite Insertions

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite 3.22Timed SQLite InsertionsJetson AGX Xavier20406080100SE +/- 0.97, N = 378.651. (CC) gcc options: -O2 -lz -ldl -lpthread

SQLite

System Power Consumption Monitor

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

SQLite

System Temperature Monitor

MinAvgMaxJetson AGX Xavier35.536.938.5OpenBenchmarking.orgCelsius, Fewer Is BetterSQLite 3.22System Temperature Monitor1122334455

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthJetson AGX Xavier2M4M6M8M10MSE +/- 59696.43, N = 38193464

asmFish

1024 Hash Memory, 26 Depth

OpenBenchmarking.orgNodes/second Per Watt, More Is BetterasmFish 2018-07-231024 Hash Memory, 26 DepthJetson AGX Xavier70K140K210K280K350K322296.99

asmFish

System Power Consumption Monitor

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

asmFish

System Temperature Monitor

MinAvgMaxJetson AGX Xavier34.545.947.5OpenBenchmarking.orgCelsius, Fewer Is BetterasmFish 2018-07-23System Temperature Monitor1428425670

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 Xavier306090120150SE +/- 0.55, N = 31471. (CC) gcc options: -pthread -fvisibility=hidden -O2

XZ Compression

System Power Consumption Monitor

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

XZ Compression

System Temperature Monitor

MinAvgMaxJetson AGX Xavier39.541.644.0OpenBenchmarking.orgCelsius, Fewer Is BetterXZ Compression 5.2.4System Temperature Monitor1224364860

Git

Time To Complete Common Git Commands

OpenBenchmarking.orgSeconds, Fewer Is BetterGitTime To Complete Common Git CommandsJetson AGX Xavier3691215SE +/- 0.17, N = 312.531. git version 2.17.1

Git

System Power Consumption Monitor

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

Git

System Temperature Monitor

MinAvgMaxJetson AGX Xavier37.038.139.0OpenBenchmarking.orgCelsius, Fewer Is BetterGitSystem Temperature Monitor1122334455

Himeno Benchmark

Poisson Pressure Solver

OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverJetson AGX Xavier60120180240300SE +/- 0.18, N = 3277.411. (CC) gcc options: -O3

Himeno Benchmark

Poisson Pressure Solver

OpenBenchmarking.orgMFLOPS Per Watt, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverJetson AGX Xavier51015202519.05

Himeno Benchmark

System Power Consumption Monitor

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

Himeno Benchmark

System Temperature Monitor

MinAvgMaxJetson AGX Xavier35.536.437.0OpenBenchmarking.orgCelsius, Fewer Is BetterHimeno Benchmark 3.0System Temperature Monitor1122334455

OpenSSL

RSA 4096-bit Performance

OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceJetson AGX Xavier120240360480600SE +/- 5.74, N = 35731. (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 Xavier61218243026.17

OpenSSL

System Power Consumption Monitor

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

OpenSSL

System Temperature Monitor

MinAvgMaxJetson AGX Xavier34.540.041.5OpenBenchmarking.orgCelsius, Fewer Is BetterOpenSSL 1.1.1System Temperature Monitor1122334455

Scikit-Learn

OpenBenchmarking.orgSeconds, Fewer Is BetterScikit-Learn 0.17.1Jetson AGX Xavier50100150200250SE +/- 0.11, N = 3225

Scikit-Learn

System Power Consumption Monitor

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

Scikit-Learn

System Temperature Monitor

MinAvgMaxJetson AGX Xavier35.036.637.5OpenBenchmarking.orgCelsius, Fewer Is BetterScikit-Learn 0.17.1System Temperature Monitor1122334455

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 Xavier140K280K420K560K700KSE +/- 1845.75, N = 56602671. (CC) gcc options: -O3 -march=native

TSCP

AI Chess Performance

OpenBenchmarking.orgNodes Per Second Per Watt, More Is BetterTSCP 1.81AI Chess PerformanceJetson AGX Xavier10K20K30K40K50K48371.21

TSCP

System Power Consumption Monitor

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

TSCP

System Temperature Monitor

MinAvgMaxJetson AGX Xavier37.037.337.5OpenBenchmarking.orgCelsius, Fewer Is BetterTSCP 1.81System Temperature Monitor1122334455

Rust Prime Benchmark

Prime Number Test To 200,000,000

OpenBenchmarking.orgSeconds, Fewer Is BetterRust Prime BenchmarkPrime Number Test To 200,000,000Jetson AGX Xavier816243240SE +/- 0.07, N = 332.501. (CC) gcc options: -pie -nodefaultlibs -ldl -lrt -lpthread -lgcc_s -lc -lm -lutil

Rust Prime Benchmark

System Power Consumption Monitor

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

Rust Prime Benchmark

System Temperature Monitor

MinAvgMaxJetson AGX Xavier37.538.539.0OpenBenchmarking.orgCelsius, Fewer Is BetterRust Prime BenchmarkSystem Temperature Monitor1122334455

Rust Mandelbrot

Time To Complete Serial/Parallel Mandelbrot

OpenBenchmarking.orgSeconds, Fewer Is BetterRust MandelbrotTime To Complete Serial/Parallel MandelbrotJetson AGX Xavier20406080100SE +/- 2.50, N = 3109.801. (CC) gcc options: -pie -nodefaultlibs -lutil -ldl -lrt -lpthread -lgcc_s -lc -lm

Rust Mandelbrot

System Power Consumption Monitor

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

Rust Mandelbrot

System Temperature Monitor

MinAvgMaxJetson AGX Xavier35.537.540.0OpenBenchmarking.orgCelsius, Fewer Is BetterRust MandelbrotSystem Temperature Monitor1122334455

Meta Performance Per Watt

Performance Per Watt

OpenBenchmarking.orgPerformance Per Watt, More Is BetterMeta Performance Per WattPerformance Per WattJetson AGX Xavier200K400K600K800K1000K822887.13

System Power Consumption Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgWattsSystem Power Consumption MonitorPhoronix Test Suite System MonitoringJetson AGX Xavier1020304050Min: 11.5 / Avg: 20.65 / Max: 47.1

System Temperature Monitor

Phoronix Test Suite System Monitoring

OpenBenchmarking.orgCelsiusSystem Temperature MonitorPhoronix Test Suite System MonitoringJetson AGX Xavier1020304050Min: 34 / Avg: 42.47 / Max: 50.5


Phoronix Test Suite v10.8.4