ss6

AMD EPYC 3255 8-Core Temp testing with a congatec conga-B7E3 (5.13 BIOS) and NVIDIA Quadro P1000 4GB on Ubuntu 20.04 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 2108033-IB-SS651062082
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C/C++ Compiler Tests 2 Tests
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HPC - High Performance Computing 3 Tests
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  Test
  Duration
sysbench2004Ph10
August 03 2021
  6 Minutes
graphics-magick2004Ph10
August 03 2021
  22 Minutes
ipc-benchmark2004Ph10
August 03 2021
  3 Minutes
amg2004Ph10
August 03 2021
  2 Minutes
ramspeed2004PH1-
August 03 2021
  29 Minutes
npb2004Ph10
August 03 2021
  20 Minutes
scimark2004Ph10
August 03 2021
  2 Minutes
cachebench2004Ph10
August 03 2021
  19 Minutes
onednn2004Ph10
August 03 2021
  39 Minutes
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  16 Minutes

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ss6OpenBenchmarking.orgPhoronix Test SuiteAMD EPYC 3255 8-Core Temp @ 2.50GHz (8 Cores / 16 Threads)congatec conga-B7E3 (5.13 BIOS)AMD 17h32GB1920GB ATP NVMe M.2 2280 SED SSD + 2000GB Portable SSD T5NVIDIA Quadro P1000 4GBNVIDIA GP107GL HD AudioHP Z24n G2Intel I210 + Intel I211 + 2 x AMD Device 1458 + 2 x AMD Device 1459Ubuntu 20.045.4.0-65-generic (x86_64)nouveau4.5 Mesa 21.0.3 (LLVM 12.0.0 256 bits)1.0.2GCC 9.3.0ext41920x1200ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDisplay DriverOpenGLVulkanCompilerFile-SystemScreen ResolutionSs6 BenchmarksSystem Logs- Transparent Huge Pages: madvise- --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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-9-HskZEa/gcc-9-9.3.0/debian/tmp-nvptx/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 - Scaling Governor: acpi-cpufreq ondemand (Boost: Enabled) - CPU Microcode: 0x800126c- 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 STIBP: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

ss6onednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - f32 - CPUcachebench: Read / Modify / Writecachebench: Writecachebench: Readscimark2: Jacobi Successive Over-Relaxationscimark2: Sparse Matrix Multiplyscimark2: Fast Fourier Transformscimark2: Monte Carloscimark2: Compositenpb: EP.Dnpb: EP.Cramspeed: Average - Floating Pointramspeed: Scale - Floating Pointramspeed: Add - Floating Pointramspeed: Average - Integerramspeed: Scale - Integerramspeed: Add - Integeramg: ipc-benchmark: Unnamed Unix Domain Socket - 1024ipc-benchmark: Unnamed Unix Domain Socket - 128ipc-benchmark: FIFO Named Pipe - 1024ipc-benchmark: FIFO Named Pipe - 128ipc-benchmark: Unnamed Pipe - 1024ipc-benchmark: Unnamed Pipe - 128ipc-benchmark: TCP Socket - 1024ipc-benchmark: TCP Socket - 128graphics-magick: HWB Color Spacegraphics-magick: Noise-Gaussiangraphics-magick: Resizinggraphics-magick: Enhancedgraphics-magick: Sharpengraphics-magick: Rotategraphics-magick: Swirlsysbench: CPUsysbench: RAM / Memoryscimark2: Dense LU Matrix Factorizationsysbench2004Ph10graphics-magick2004Ph10ipc-benchmark2004Ph10amg2004Ph10ramspeed2004PH1-npb2004Ph10scimark2004Ph10cachebench2004Ph10onednn2004Ph1012224.317131.3771515862212288510308922138124955214763841883295158977819664701305400188723917864986718556.2316118.9721039.8518296.3917114.7120720.60382.85384.06859.83451.72135.04100.33417.27539.4230368.70522217416.2952112145.0051796.591845929.1310780.46.348115899.0410785.15916.1310707.513.883410.070227.215221.082014.333323.78003.585949.7303014.010311.1572OpenBenchmarking.org

oneDNN

This is a test of the Intel oneDNN as an Intel-optimized library for Deep Neural Networks and making use of its built-in benchdnn functionality. The result is the total perf time reported. Intel oneDNN was formerly known as DNNL (Deep Neural Network Library) and MKL-DNN before being rebranded as part of the Intel oneAPI initiative. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPUonednn2004Ph10246810SE +/- 0.00334, N = 36.59184MIN: 6.311. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPUonednn2004Ph1013002600390052006500SE +/- 8.66, N = 35929.13MIN: 5906.391. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPUonednn2004Ph102K4K6K8K10KSE +/- 22.39, N = 310780.4MIN: 10727.91. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPUonednn2004Ph10246810SE +/- 0.00111, N = 36.34811MIN: 6.241. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPUonednn2004Ph1013002600390052006500SE +/- 10.29, N = 35899.04MIN: 5875.371. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPUonednn2004Ph102K4K6K8K10KSE +/- 12.33, N = 310785.1MIN: 107631. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPUonednn2004Ph1013002600390052006500SE +/- 7.60, N = 35916.13MIN: 5896.181. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPUonednn2004Ph102K4K6K8K10KSE +/- 33.23, N = 310707.5MIN: 10641.11. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPUonednn2004Ph1048121620SE +/- 0.09, N = 1413.88MIN: 13.291. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPUonednn2004Ph103691215SE +/- 0.01, N = 310.07MIN: 9.731. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPUonednn2004Ph10612182430SE +/- 0.08, N = 327.22MIN: 25.931. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPUonednn2004Ph10510152025SE +/- 0.29, N = 321.08MIN: 19.621. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPUonednn2004Ph1048121620SE +/- 0.05, N = 314.33MIN: 13.051. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPUonednn2004Ph10612182430SE +/- 0.02, N = 323.78MIN: 23.311. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPUonednn2004Ph100.80681.61362.42043.22724.034SE +/- 0.00038, N = 33.58594MIN: 3.451. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPUonednn2004Ph103691215SE +/- 0.00567, N = 39.73030MIN: 8.371. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 3D - Data Type: f32 - Engine: CPUonednn2004Ph1048121620SE +/- 0.01, N = 314.01MIN: 13.731. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.1.2Harness: IP Shapes 1D - Data Type: f32 - Engine: CPUonednn2004Ph103691215SE +/- 0.00, N = 311.16MIN: 10.851. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

CacheBench

This is a performance test of CacheBench, which is part of LLCbench. CacheBench is designed to test the memory and cache bandwidth performance Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterCacheBenchTest: Read / Modify / Writecachebench2004Ph107K14K21K28K35KSE +/- 201.26, N = 330368.71MIN: 26009.51 / MAX: 36088.451. (CC) gcc options: -lrt

OpenBenchmarking.orgMB/s, More Is BetterCacheBenchTest: Writecachebench2004Ph104K8K12K16K20KSE +/- 28.41, N = 317416.30MIN: 14119.7 / MAX: 18996.351. (CC) gcc options: -lrt

OpenBenchmarking.orgMB/s, More Is BetterCacheBenchTest: Readcachebench2004Ph105001000150020002500SE +/- 0.01, N = 32145.01MIN: 2143.44 / MAX: 2145.171. (CC) gcc options: -lrt

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: Jacobi Successive Over-Relaxationscimark2004Ph102004006008001000SE +/- 15.70, N = 3859.831. (CC) gcc options: -lm

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Sparse Matrix Multiplyscimark2004Ph10100200300400500SE +/- 1.12, N = 3451.721. (CC) gcc options: -lm

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Fast Fourier Transformscimark2004Ph10306090120150SE +/- 0.89, N = 3135.041. (CC) gcc options: -lm

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Monte Carloscimark2004Ph1020406080100SE +/- 0.14, N = 3100.331. (CC) gcc options: -lm

OpenBenchmarking.orgMflops, More Is BetterSciMark 2.0Computational Test: Compositescimark2004Ph1090180270360450SE +/- 2.85, N = 3417.271. (CC) gcc options: -lm

NAS Parallel Benchmarks

NPB, NAS Parallel Benchmarks, is a benchmark developed by NASA for high-end computer systems. This test profile currently uses the MPI version of NPB. This test profile offers selecting the different NPB tests/problems and varying problem sizes. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.Dnpb2004Ph1080160240320400SE +/- 4.54, N = 3382.851. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

OpenBenchmarking.orgTotal Mop/s, More Is BetterNAS Parallel Benchmarks 3.4Test / Class: EP.Cnpb2004Ph1080160240320400SE +/- 1.59, N = 3384.061. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

RAMspeed SMP

This benchmark tests the system memory (RAM) performance. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Average - Benchmark: Floating Pointramspeed2004PH1-4K8K12K16K20KSE +/- 26.66, N = 318556.231. (CC) gcc options: -O3 -march=native

OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Scale - Benchmark: Floating Pointramspeed2004PH1-3K6K9K12K15KSE +/- 49.73, N = 316118.971. (CC) gcc options: -O3 -march=native

OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Add - Benchmark: Floating Pointramspeed2004PH1-5K10K15K20K25KSE +/- 28.29, N = 321039.851. (CC) gcc options: -O3 -march=native

OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Average - Benchmark: Integerramspeed2004PH1-4K8K12K16K20KSE +/- 47.75, N = 318296.391. (CC) gcc options: -O3 -march=native

OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Scale - Benchmark: Integerramspeed2004PH1-4K8K12K16K20KSE +/- 132.01, N = 317114.711. (CC) gcc options: -O3 -march=native

OpenBenchmarking.orgMB/s, More Is BetterRAMspeed SMP 3.5.0Type: Add - Benchmark: Integerramspeed2004PH1-4K8K12K16K20KSE +/- 9.28, N = 320720.601. (CC) gcc options: -O3 -march=native

Algebraic Multi-Grid Benchmark

AMG is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. The driver provided with AMG builds linear systems for various 3-dimensional problems. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFigure Of Merit, More Is BetterAlgebraic Multi-Grid Benchmark 1.2amg2004Ph1040M80M120M160M200MSE +/- 69024.21, N = 31786498671. (CC) gcc options: -lparcsr_ls -lparcsr_mv -lseq_mv -lIJ_mv -lkrylov -lHYPRE_utilities -lm -fopenmp -pthread -lmpi

IPC_benchmark

IPC_benchmark is a Linux inter-process communication benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMessages Per Second, More Is BetterIPC_benchmarkType: Unnamed Unix Domain Socket - Message Bytes: 1024ipc-benchmark2004Ph10200K400K600K800K1000KSE +/- 10653.07, N = 3922138

OpenBenchmarking.orgMessages Per Second, More Is BetterIPC_benchmarkType: Unnamed Unix Domain Socket - Message Bytes: 128ipc-benchmark2004Ph10300K600K900K1200K1500KSE +/- 10605.40, N = 31249552

OpenBenchmarking.orgMessages Per Second, More Is BetterIPC_benchmarkType: FIFO Named Pipe - Message Bytes: 1024ipc-benchmark2004Ph10300K600K900K1200K1500KSE +/- 2419.86, N = 31476384

OpenBenchmarking.orgMessages Per Second, More Is BetterIPC_benchmarkType: FIFO Named Pipe - Message Bytes: 128ipc-benchmark2004Ph10400K800K1200K1600K2000KSE +/- 20185.32, N = 41883295

OpenBenchmarking.orgMessages Per Second, More Is BetterIPC_benchmarkType: Unnamed Pipe - Message Bytes: 1024ipc-benchmark2004Ph10300K600K900K1200K1500KSE +/- 7171.13, N = 31589778

OpenBenchmarking.orgMessages Per Second, More Is BetterIPC_benchmarkType: Unnamed Pipe - Message Bytes: 128ipc-benchmark2004Ph10400K800K1200K1600K2000KSE +/- 10510.23, N = 31966470

OpenBenchmarking.orgMessages Per Second, More Is BetterIPC_benchmarkType: TCP Socket - Message Bytes: 1024ipc-benchmark2004Ph10300K600K900K1200K1500KSE +/- 1589.09, N = 31305400

OpenBenchmarking.orgMessages Per Second, More Is BetterIPC_benchmarkType: TCP Socket - Message Bytes: 128ipc-benchmark2004Ph10400K800K1200K1600K2000KSE +/- 865.47, N = 31887239

GraphicsMagick

This is a test of GraphicsMagick with its OpenMP implementation that performs various imaging tests on a sample 6000x4000 pixel JPEG image. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: HWB Color Spacegraphics-magick2004Ph10150300450600750SE +/- 0.88, N = 37151. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Noise-Gaussiangraphics-magick2004Ph10306090120150SE +/- 0.33, N = 31581. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Resizinggraphics-magick2004Ph10130260390520650SE +/- 0.33, N = 36221. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Enhancedgraphics-magick2004Ph103060901201501221. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Sharpengraphics-magick2004Ph1020406080100881. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Rotategraphics-magick2004Ph10110220330440550SE +/- 0.88, N = 35101. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lz -lm -lpthread

OpenBenchmarking.orgIterations Per Minute, More Is BetterGraphicsMagick 1.3.33Operation: Swirlgraphics-magick2004Ph1070140210280350SE +/- 0.88, N = 33081. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lz -lm -lpthread

Sysbench

This is a benchmark of Sysbench with the built-in CPU and memory sub-tests. Sysbench is a scriptable multi-threaded benchmark tool based on LuaJIT. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgEvents Per Second, More Is BetterSysbench 1.0.20Test: CPUsysbench2004Ph103K6K9K12K15KSE +/- 42.84, N = 312224.311. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm

OpenBenchmarking.orgMiB/sec, More Is BetterSysbench 1.0.20Test: RAM / Memorysysbench2004Ph1015003000450060007500SE +/- 45.49, N = 37131.371. (CC) gcc options: -pthread -O2 -funroll-loops -rdynamic -ldl -laio -lm

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: Dense LU Matrix Factorizationscimark2004Ph10120240360480600SE +/- 28.52, N = 3539.421. (CC) gcc options: -lm

53 Results Shown

oneDNN:
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
  Deconvolution Batch shapes_3d - u8s8f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Deconvolution Batch shapes_3d - f32 - CPU
  Deconvolution Batch shapes_1d - f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
  IP Shapes 3D - f32 - CPU
  IP Shapes 1D - f32 - CPU
CacheBench:
  Read / Modify / Write
  Write
  Read
SciMark:
  Jacobi Successive Over-Relaxation
  Sparse Matrix Multiply
  Fast Fourier Transform
  Monte Carlo
  Composite
NAS Parallel Benchmarks:
  EP.D
  EP.C
RAMspeed SMP:
  Average - Floating Point
  Scale - Floating Point
  Add - Floating Point
  Average - Integer
  Scale - Integer
  Add - Integer
Algebraic Multi-Grid Benchmark
IPC_benchmark:
  Unnamed Unix Domain Socket - 1024
  Unnamed Unix Domain Socket - 128
  FIFO Named Pipe - 1024
  FIFO Named Pipe - 128
  Unnamed Pipe - 1024
  Unnamed Pipe - 128
  TCP Socket - 1024
  TCP Socket - 128
GraphicsMagick:
  HWB Color Space
  Noise-Gaussian
  Resizing
  Enhanced
  Sharpen
  Rotate
  Swirl
Sysbench:
  CPU
  RAM / Memory
SciMark