SBC benchmarks

SiFive RISC-V testing on Debian 8.10 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 1806248-AR-SBCBENCHM45
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Result
Identifier
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Performance Per
Dollar
Date
Run
  Test
  Duration
SiFive RISC-V
June 24 2018
  2 Hours, 22 Minutes
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SBC benchmarksOpenBenchmarking.orgPhoronix Test SuiteSiFive RISC-V @ 0.91GHz (4 Cores)Allwinnersun50iw2Family FriendlyElec NanoPi-NEO2482MB1000GB Tech + 31GB SD32GDebian 8.104.14.0 (aarch64)GCC 4.9.2ext41920x1080ProcessorMotherboardMemoryDiskOSKernelCompilerFile-SystemScreen ResolutionSBC Benchmarks PerformanceSystem Logs- --build=aarch64-linux-gnu --disable-browser-plugin --disable-libquadmath --disable-libsanitizer --enable-checking=release --enable-clocale=gnu --enable-gnu-unique-object --enable-gtk-cairo --enable-java-awt=gtk --enable-java-home --enable-languages=c,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=arm64 -v - Scaling Governor: cpufreq-dt ondemand- Python 2.7.9 + Python 3.4.2

SciMark

This test runs the ANSI C version of SciMark 2.0, which is a benchmark for scientific and numerical computing developed by programmers at the National Institute of Standards and Technology. This test is made up of Fast Foruier Transform, Jacobi Successive Over-relaxation, Monte Carlo, Sparse Matrix Multiply, and dense LU matrix factorization benchmarks. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: CompositeSiFive RISC-V612182430SE +/- 0.03, N = 325.871. (CC) gcc options: -lm

Smallpt

OpenBenchmarking.orgSeconds, Fewer Is BetterSmallpt 1.0Global Illumination Renderer; 100 SamplesSiFive RISC-V5001000150020002500SE +/- 20.23, N = 321451. (CXX) g++ options: -fopenmp

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 TimesSiFive RISC-V6K12K18K24K30KSE +/- 31.67, N = 327505