jetson

ARMv8 Cortex-A57 testing with a NVIDIA Jetson Nano Developer Kit and NVIDIA TEGRA 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 2012278-FI-JETSON92942
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results
Show Result Confidence Charts

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
cuda
December 25 2020
  27 Minutes
glmark2
December 27 2020
  51 Minutes
Invert Hiding All Results Option
  39 Minutes
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


jetson ProcessorMotherboardMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverVulkanCompilerFile-SystemScreen Resolutioncudaglmark2ARMv8 Cortex-A57 @ 1.48GHz (4 Cores)NVIDIA Jetson Nano Developer Kit4096MB16GB DG4016 + 15GB i-TFNVIDIA TEGRAASUS VN248Realtek RTL8111/8168/8411Ubuntu 18.044.9.140-tegra (aarch64)Unity 7.5.0X Server 1.19.6NVIDIA 1.0.01.2.131GCC 7.5.0 + CUDA 10.2ext41920x1080PHL 276E8V5760x2160OpenBenchmarking.orgCompiler Details- cuda: --build=aarch64-linux-gnu --disable-libquadmath --disable-libquadmath-support --disable-werror --enable-bootstrap --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 Processor Details- Scaling Governor: tegra-cpufreq schedutilPython Details- glmark2: Python 2.7.17 + Python 3.6.9

jetson glmark2: 5760 x 2160glmark2: 3840 x 2160glmark2: 2560 x 1440glmark2: 1920 x 1200glmark2: 1920 x 1080glmark2: 1600 x 1200glmark2: 1280 x 1024glmark2: 1024 x 768glmark2: 800 x 600cuda-mini-nbody: Flush Denormals To Zerocuda-mini-nbody: SOA Data Layoutcuda-mini-nbody: Loop Unrollingcuda-mini-nbody: Cache Blockingcuda-mini-nbody: Originalcudaglmark216606.88116425.12916419.35816572.24512249.1759513027340249754976511421533OpenBenchmarking.org

GLmark2

This is a test of Linaro's glmark2 port, currently using the X11 OpenGL 2.0 target. GLmark2 is a basic OpenGL benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 5760 x 2160glmark22040608010095

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 3840 x 2160glmark2306090120150130

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 2560 x 1440glmark260120180240300273

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1200glmark290180270360450402

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080glmark2110220330440550497

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1600 x 1200glmark2120240360480600549

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1280 x 1024glmark2160320480640800765

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1024 x 768glmark220040060080010001142

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 800 x 600glmark2300600900120015001533

CUDA Mini-Nbody

The CUDA version of Harrism's mini-nbody tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.org(NBody^2)/s, More Is BetterCUDA Mini-Nbody 2015-11-10Test: Flush Denormals To Zerocuda4K8K12K16K20KSE +/- 180.88, N = 316606.88

OpenBenchmarking.org(NBody^2)/s, More Is BetterCUDA Mini-Nbody 2015-11-10Test: SOA Data Layoutcuda4K8K12K16K20KSE +/- 187.36, N = 616425.13

OpenBenchmarking.org(NBody^2)/s, More Is BetterCUDA Mini-Nbody 2015-11-10Test: Loop Unrollingcuda4K8K12K16K20KSE +/- 101.50, N = 316419.36

OpenBenchmarking.org(NBody^2)/s, More Is BetterCUDA Mini-Nbody 2015-11-10Test: Cache Blockingcuda4K8K12K16K20KSE +/- 91.84, N = 316572.25

OpenBenchmarking.org(NBody^2)/s, More Is BetterCUDA Mini-Nbody 2015-11-10Test: Originalcuda3K6K9K12K15KSE +/- 84.57, N = 312249.18