ARMv8 rev 0 Performance

Various open-source benchmarks by the Phoronix Test Suite v9.6.1 (Nittedal).

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2006150-NI-ARMV8REV054
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ARMv8 rev 0
June 15 2020
  21 Minutes
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ARMv8 rev 0

Processor: ARMv8 rev 0 @ 1.42GHz (6 Cores), Motherboard: NVIDIA Jetson Xavier NX Developer Kit, Memory: 8GB, Disk: 500GB KINGSTON SA2000M8500G + 32GB SR32G, Graphics: NVIDIA TEGRA, Monitor: M2294D-PZ, Network: Realtek Device c822

OS: Ubuntu 18.04, Kernel: 4.9.140-tegra (aarch64), Desktop: Unity 7.5.0, Display Server: X Server 1.19.6, Display Driver: NVIDIA 1.0.0, Vulkan: 1.2.131, Compiler: GCC 7.5.0 + LLVM 7.0.0 + CUDA 10.2, File-System: ext4, Screen Resolution: 1440x900

Compiler Notes: --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 Notes: Scaling Governor: tegra_cpufreq schedutil
Python Notes: Python 2.7.17 + Python 3.6.9

ARMv8 rev 0 PerformanceOpenBenchmarking.orgPhoronix Test SuiteARMv8 rev 0 @ 1.42GHz (6 Cores)NVIDIA Jetson Xavier NX Developer Kit8GB500GB KINGSTON SA2000M8500G + 32GB SR32GNVIDIA TEGRAM2294D-PZRealtek Device c822Ubuntu 18.044.9.140-tegra (aarch64)Unity 7.5.0X Server 1.19.6NVIDIA 1.0.01.2.131GCC 7.5.0 + LLVM 7.0.0 + CUDA 10.2ext41440x900ProcessorMotherboardMemoryDiskGraphicsMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverVulkanCompilerFile-SystemScreen ResolutionARMv8 Rev 0 Performance BenchmarksSystem Logs- --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 - Scaling Governor: tegra_cpufreq schedutil- Python 2.7.17 + Python 3.6.9

ARMv8 rev 0 Performancehimeno: Poisson Pressure Solverc-ray: Total Time - 4K, 16 Rays Per Pixelencode-mp3: WAV To MP3multichase: 256MB Array, 256 Byte StrideARMv8 rev 01161.362591334.55126.488173.7OpenBenchmarking.org

Himeno Benchmark

The Himeno benchmark is a linear solver of pressure Poisson using a point-Jacobi method. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterHimeno Benchmark 3.0Poisson Pressure SolverARMv8 rev 02004006008001000SE +/- 4.29, N = 31161.361. (CC) gcc options: -O3

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 PixelARMv8 rev 070140210280350SE +/- 5.01, N = 3334.551. (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 MP3ARMv8 rev 0612182430SE +/- 0.15, N = 326.491. (CC) gcc options: -O3 -ffast-math -funroll-loops -fschedule-insns2 -fbranch-count-reg -fforce-addr -pipe -lm

Multichase Pointer Chaser

This is a benchmark of Google's multichase pointer chaser program. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns, Fewer Is BetterMultichase Pointer ChaserTest: 256MB Array, 256 Byte StrideARMv8 rev 04080120160200SE +/- 0.03, N = 3173.71. (CC) gcc options: -O2 -static -pthread -lrt

ARMv8 rev 0

Processor: ARMv8 rev 0 @ 1.42GHz (6 Cores), Motherboard: NVIDIA Jetson Xavier NX Developer Kit, Memory: 8GB, Disk: 500GB KINGSTON SA2000M8500G + 32GB SR32G, Graphics: NVIDIA TEGRA, Monitor: M2294D-PZ, Network: Realtek Device c822

OS: Ubuntu 18.04, Kernel: 4.9.140-tegra (aarch64), Desktop: Unity 7.5.0, Display Server: X Server 1.19.6, Display Driver: NVIDIA 1.0.0, Vulkan: 1.2.131, Compiler: GCC 7.5.0 + LLVM 7.0.0 + CUDA 10.2, File-System: ext4, Screen Resolution: 1440x900

Compiler Notes: --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 Notes: Scaling Governor: tegra_cpufreq schedutil
Python Notes: Python 2.7.17 + Python 3.6.9

Testing initiated at 15 June 2020 17:39 by user sprik.