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AMD Ryzen 7 5800X 8-Core testing with a ASRock X570 Pro4 (P3.40 BIOS) and Sapphire AMD Radeon RX 470/480/570/570X/580/580X/590 8GB on Ubuntu 20.10 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 2012318-HA-XX504724906
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December 31 2020
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xxProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123AMD Ryzen 7 5800X 8-Core @ 3.80GHz (8 Cores / 16 Threads)ASRock X570 Pro4 (P3.40 BIOS)AMD Starship/Matisse16GB1000GB Sabrent Rocket 4.0 PlusSapphire AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1560/2100MHz)AMD Ellesmere HDMI AudioLG Ultra HDIntel I211Ubuntu 20.105.11.0-rc1-phx (x86_64) 20201228GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.6 Mesa 20.2.1 (LLVM 11.0.0)1.2.131GCC 10.2.0ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/usr,hsa --enable-plugin --enable-shared --enable-threads=posix --host=x86_64-linux-gnu --program-prefix=x86_64-linux-gnu- --target=x86_64-linux-gnu --with-abi=m64 --with-arch-32=i686 --with-default-libstdcxx-abi=new --with-gcc-major-version-only --with-multilib-list=m32,m64,mx32 --with-target-system-zlib=auto --with-tune=generic --without-cuda-driver -v Processor Details- Scaling Governor: acpi-cpufreq schedutil (Boost: Enabled) - CPU Microcode: 0xa201009Python Details- Python 3.8.6Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional IBRS_FW STIBP: always-on RSB filling + srbds: Not affected + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite100%102%104%105%107%ECP-CANDLEDarmstadt Automotive Parallel Heterogeneous SuiteDarmstadt Automotive Parallel Heterogeneous SuiteECP-CANDLEECP-CANDLEDarmstadt Automotive Parallel Heterogeneous SuiteP1B2OpenMP - NDT MappingOpenMP - Euclidean ClusterP3B1P3B2OpenMP - Points2Image

xxdaphne: OpenMP - NDT Mappingdaphne: OpenMP - Points2Imagedaphne: OpenMP - Euclidean Clusterecp-candle: P1B2ecp-candle: P3B1ecp-candle: P3B2123907.1835521.7741977221250.1134.6691157.218558.942931.5835434.4392958561260.6232.5911144.762561.355937.6935365.8790412791275.7232.3821145.806563.596OpenBenchmarking.org

Darmstadt Automotive Parallel Heterogeneous Suite

DAPHNE is the Darmstadt Automotive Parallel HeterogeNEous Benchmark Suite with OpenCL / CUDA / OpenMP test cases for these automotive benchmarks for evaluating programming models in context to vehicle autonomous driving capabilities. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT Mapping1232004006008001000SE +/- 2.48, N = 3SE +/- 4.78, N = 3SE +/- 7.24, N = 3907.18931.58937.691. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT Mapping123160320480640800Min: 904.15 / Avg: 907.18 / Max: 912.09Min: 922.02 / Avg: 931.58 / Max: 936.48Min: 923.58 / Avg: 937.69 / Max: 947.531. (CXX) g++ options: -O3 -std=c++11 -fopenmp

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2Image1238K16K24K32K40KSE +/- 143.85, N = 3SE +/- 138.66, N = 3SE +/- 181.41, N = 335521.7735434.4435365.881. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2Image1236K12K18K24K30KMin: 35366.1 / Avg: 35521.77 / Max: 35809.14Min: 35157.21 / Avg: 35434.44 / Max: 35579.17Min: 35027.29 / Avg: 35365.88 / Max: 35648.081. (CXX) g++ options: -O3 -std=c++11 -fopenmp

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean Cluster12330060090012001500SE +/- 4.68, N = 3SE +/- 11.73, N = 3SE +/- 2.90, N = 31250.111260.621275.721. (CXX) g++ options: -O3 -std=c++11 -fopenmp
OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean Cluster1232004006008001000Min: 1244.78 / Avg: 1250.11 / Max: 1259.44Min: 1246.99 / Avg: 1260.62 / Max: 1283.96Min: 1269.92 / Avg: 1275.72 / Max: 1278.871. (CXX) g++ options: -O3 -std=c++11 -fopenmp

ECP-CANDLE

The CANDLE benchmark codes implement deep learning architectures relevant to problems in cancer. These architectures address problems at different biological scales, specifically problems at the molecular, cellular and population scales. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P1B212381624324034.6732.5932.38

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P3B112320040060080010001157.221144.761145.81

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P3B2123120240360480600558.94561.36563.60