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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 1812245-SP-NVIDIAJET57
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Result
Identifier
Performance Per
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Date
Run
  Test
  Duration
Jetson AGX Xavier
December 24 2018
  2 Hours, 13 Minutes
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NVIDIA Jetson AGX Xavier Thermal + PowerOpenBenchmarking.orgPhoronix Test SuiteARMv8 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 10.0ext43840x2160ProcessorMotherboardMemoryDiskGraphicsMonitorOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionNVIDIA Jetson AGX Xavier Thermal + Power BenchmarksSystem Logs- --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: GoogleNet - INT8 - 32 - Disabledtensorrt-inference: AlexNet - FP16 - 32 - Disabledtensorrt-inference: GoogleNet - FP16 - 32 - Disabledtensorrt-inference: VGG16 - INT8 - 32 - Disabledtensorrt-inference: VGG16 - FP16 - 32 - Disabledhimeno: Poisson Pressure Solvertscp: AI Chess Performanceasmfish: 1024 Hash Memory, 26 Depthphpbench: PHP Benchmark Suiteopenssl: RSA 4096-bit Performancepybench: Total For Average Test Timesc-ray: Total Time - 4K, 16 Rays Per Pixelencode-mp3: WAV To MP3encode-flac: WAV To FLACbuild-linux-kernel: Time To Compilesqlite: Timed SQLite Insertionscompress-xz: Compressing ubuntu-16.04.3-server-i386.img, Compression Level 9git: Time To Complete Common Git Commandsscikit-learn: darktable: Boat - CPU-onlyrust-prime: Prime Number Test To 200,000,000rust-mandel: Time To Complete Serial/Parallel MandelbrotJetson AGX Xavier298116271981890446247277.416602678193464189005573323716835.4755.16788.6078.6514712.5322528.1732.50109.80OpenBenchmarking.org

System Temperature Monitor

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

System Power Consumption Monitor

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

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: 32 - DLA Cores: DisabledJetson AGX Xavier6001200180024003000SE +/- 145.87, N = 32981

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

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA TensorRT InferenceNeural Network: AlexNet - Precision: INT8 - Batch Size: 32 - DLA Cores: DisabledJetson AGX Xavier4080120160200193.71

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA TensorRT InferenceNeural Network: AlexNet - Precision: FP16 - Batch Size: 32 - DLA Cores: DisabledJetson AGX Xavier306090120150113.88

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA TensorRT InferenceNeural Network: GoogleNet - Precision: INT8 - Batch Size: 32 - DLA Cores: DisabledJetson AGX Xavier20406080100105.85

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA TensorRT InferenceNeural Network: GoogleNet - Precision: FP16 - Batch Size: 32 - DLA Cores: DisabledJetson AGX Xavier122436486053.02

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA TensorRT InferenceNeural Network: VGG16 - Precision: INT8 - Batch Size: 32 - DLA Cores: DisabledJetson AGX Xavier51015202518.55

OpenBenchmarking.orgImages Per Second Per Watt, More Is BetterNVIDIA TensorRT InferenceNeural Network: VGG16 - Precision: FP16 - Batch Size: 32 - DLA Cores: DisabledJetson AGX Xavier36912159.60

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

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

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

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

Himeno Benchmark

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

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

TSCP

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

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess PerformanceJetson AGX Xavier140K280K420K560K700KSE +/- 1845.75, N = 56602671. (CC) gcc options: -O3 -march=native

asmFish

This is a test of asmFish, an advanced chess benchmark written in Assembly. Learn more via the OpenBenchmarking.org test page.

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

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

Meta Performance Per Watt

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

PHPBench

PHPBench is a benchmark suite for PHP. It performs a large number of simple tests in order to bench various aspects of the PHP interpreter. PHPBench can be used to compare hardware, operating systems, PHP versions, PHP accelerators and caches, compiler options, etc. The number of iterations used is 1,000,000. Learn more via the OpenBenchmarking.org test page.

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

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

OpenSSL

OpenBenchmarking.orgSigns Per Second Per Watt, More Is BetterOpenSSL 1.1.1RSA 4096-bit PerformanceJetson AGX Xavier61218243026.17

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

NVIDIA TensorRT Inference

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

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

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

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

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

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

C-Ray

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

LAME MP3 Encoding

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

FLAC Audio Encoding

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

PHPBench

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

PyBench

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

Timed Linux Kernel Compilation

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

SQLite

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

asmFish

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

XZ Compression

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

Git

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

Himeno Benchmark

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

OpenSSL

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

Scikit-Learn

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

Darktable

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

TSCP

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

Rust Prime Benchmark

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

Rust Mandelbrot

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

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 Xavier7001400210028003500SE +/- 8.74, N = 33237

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 Xavier4080120160200SE +/- 0.94, N = 31681. (CC) gcc options: -lm -lpthread -O3

LAME MP3 Encoding

LAME is an MP3 encoder licensed under the LGPL. This test measures the time required to encode a WAV file to MP3 format. Learn more via the OpenBenchmarking.org test page.

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

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 Xavier1224364860SE +/- 0.34, N = 555.161. (CXX) g++ options: -O2 -fvisibility=hidden -logg -lm

Timed Linux Kernel Compilation

This test times how long it takes to build the Linux kernel in a default configuration. Learn more via the OpenBenchmarking.org test page.

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

SQLite

This is a simple benchmark of SQLite. At present this test profile just measures the time to perform a pre-defined number of insertions on an indexed database. Learn more via the OpenBenchmarking.org test page.

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

XZ Compression

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

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

Git

This test measures the time needed to carry out some sample Git operations on an example, static repository that happens to be a copy of the GNOME GTK tool-kit repository. Learn more via the OpenBenchmarking.org test page.

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

Scikit-Learn

Scikit-learn is a Python module for machine learning Learn more via the OpenBenchmarking.org test page.

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

Darktable

Darktable is an open-source photography / workflow application this will use any system-installed Darktable program or on Windows will automatically download the pre-built binary from the project. Learn more via the OpenBenchmarking.org test page.

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

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 Xavier816243240SE +/- 0.07, N = 332.501. (CC) gcc options: -pie -nodefaultlibs -ldl -lrt -lpthread -lgcc_s -lc -lm -lutil

Rust Mandelbrot

This test profile is of the combined time for the serial and parallel Mandelbrot sets written in Rustlang via willi-kappler/mandel-rust. Learn more via the OpenBenchmarking.org test page.

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

NVIDIA TensorRT Inference

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

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

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

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

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

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

C-Ray

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

LAME MP3 Encoding

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

FLAC Audio Encoding

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

PHPBench

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

PyBench

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

Timed Linux Kernel Compilation

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

SQLite

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

asmFish

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

XZ Compression

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

Git

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

Himeno Benchmark

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

OpenSSL

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

Scikit-Learn

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

Darktable

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

TSCP

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

Rust Prime Benchmark

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

Rust Mandelbrot

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

83 Results Shown

System Temperature Monitor:
  Phoronix Test Suite System Monitoring:
    Celsius
    Watts
NVIDIA TensorRT Inference:
  AlexNet - INT8 - 32 - Disabled
  GoogleNet - INT8 - 32 - Disabled
NVIDIA TensorRT Inference:
  AlexNet - INT8 - 32 - Disabled
  AlexNet - FP16 - 32 - Disabled
  GoogleNet - INT8 - 32 - Disabled
  GoogleNet - FP16 - 32 - Disabled
  VGG16 - INT8 - 32 - Disabled
  VGG16 - FP16 - 32 - Disabled
NVIDIA TensorRT Inference:
  AlexNet - FP16 - 32 - Disabled
  GoogleNet - FP16 - 32 - Disabled
  VGG16 - INT8 - 32 - Disabled
  VGG16 - FP16 - 32 - Disabled
Himeno Benchmark
Himeno Benchmark
TSCP
TSCP
asmFish
asmFish:
  1024 Hash Memory, 26 Depth
  Performance Per Watt
PHPBench
PHPBench:
  PHP Benchmark Suite
  RSA 4096-bit Performance
OpenSSL
NVIDIA TensorRT Inference:
  System Temp Monitor:
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
    Celsius
PyBench
C-Ray
LAME MP3 Encoding
FLAC Audio Encoding
Timed Linux Kernel Compilation
SQLite
XZ Compression
Git
Scikit-Learn
Darktable
Rust Prime Benchmark
Rust Mandelbrot
NVIDIA TensorRT Inference:
  System Power Consumption Monitor:
    Watts
    Watts
    Watts
    Watts
    Watts
    Watts
    Watts
    Watts
    Watts
    Watts
    Watts
    Watts
    Watts
    Watts
    Watts
    Watts
    Watts
    Watts
    Watts
    Watts
    Watts
    Watts
    Watts