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 2108049-IB-SS649001182
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C/C++ Compiler Tests 4 Tests
CPU Massive 14 Tests
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HPC - High Performance Computing 5 Tests
Common Kernel Benchmarks 11 Tests
Machine Learning 3 Tests
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Multi-Core 5 Tests
Intel oneAPI 2 Tests
OpenMPI Tests 2 Tests
Server 2 Tests
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Identifier
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Date
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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
apache2004Ph10
August 04 2021
  3 Minutes
ctx-clock2004Ph10
August 04 2021
  1 Minute
hackbench1004Ph10
August 04 2021
  22 Minutes
mbw2004Ph10
August 04 2021
  2 Minutes
openssl2004Ph10
August 04 2021
  2 Minutes
perf-bench2004Ph10
August 04 2021
  38 Minutes
stress-ng2004Ph10
August 04 2021
  41 Minutes
schbench2004Ph10
August 04 2021
  2 Minutes
t-test1-2004Ph10
August 04 2021
  4 Minutes
tinymembench2004Ph10
August 04 2021
  31 Minutes
openvino2004Ph10
August 04 2021
  43 Minutes
opencv2004Ph10
August 04 2021
  57 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 - openvino2004Ph10: Python 3.8.10

ss6opencv: Object Detectionperf-bench: Sched Pipenpb: EP.Dhackbench: 16 - Processopencv: Features 2Dtinymembench: Standard Memsettinymembench: Standard Memcpystress-ng: MMAPstress-ng: Context Switchingcachebench: Read / Modify / Writecachebench: Writecachebench: Readonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUopencv: DNN - Deep Neural Networkramspeed: Scale - Integerramspeed: Average - Integerramspeed: Add - Integerramspeed: Scale - Floating Pointramspeed: Add - Floating Pointramspeed: Average - Floating Pointonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUsysbench: CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUhackbench: 16 - Threadopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUgraphics-magick: Sharpengraphics-magick: Enhancedgraphics-magick: Noise-Gaussianopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP16 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUopenvino: Age Gender Recognition Retail 0013 FP32 - CPUgraphics-magick: Resizinggraphics-magick: Swirlgraphics-magick: HWB Color Spacegraphics-magick: Rotatet-test1: 1apache: Static Web Page Servingperf-bench: Epoll Waitstress-ng: NUMAstress-ng: CPU Stressschbench: 8 - 16stress-ng: System V Message Passingstress-ng: Mallocstress-ng: Cryptostress-ng: CPU Cachestress-ng: MEMFDstress-ng: Glibc Qsort Data Sortingstress-ng: Matrix Mathstress-ng: Atomicstress-ng: Glibc C String Functionsstress-ng: Socket Activitystress-ng: Memory Copyingstress-ng: Vector Mathstress-ng: Semaphoresstress-ng: SENDFILEstress-ng: Forkingperf-bench: Futex Lock-Piperf-bench: Futex Hashscimark2: Compositeamg: perf-bench: Memcpy 1MBnpb: EP.Conednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUopenssl: RSA 4096-bit Performanceperf-bench: Syscall Basicmbw: Memory Copy, Fixed Block Size - 1024 MiBonednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUperf-bench: Memset 1MBt-test1: 2onednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUsysbench: RAM / Memoryonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUipc-benchmark: Unnamed Unix Domain Socket - 1024mbw: Memory Copy - 1024 MiBonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUipc-benchmark: TCP Socket - 1024ipc-benchmark: Unnamed Unix Domain Socket - 128ipc-benchmark: FIFO Named Pipe - 128onednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUipc-benchmark: FIFO Named Pipe - 1024ipc-benchmark: TCP Socket - 128ipc-benchmark: Unnamed Pipe - 1024ipc-benchmark: Unnamed Pipe - 128onednn: Deconvolution Batch shapes_3d - f32 - CPUctx-clock: Context Switch Timescimark2: Jacobi Successive Over-Relaxationscimark2: Dense LU Matrix Factorizationscimark2: Sparse Matrix Multiplyscimark2: Fast Fourier Transformscimark2: Monte Carlosysbench2004Ph10graphics-magick2004Ph10ipc-benchmark2004Ph10amg2004Ph10ramspeed2004PH1-npb2004Ph10scimark2004Ph10cachebench2004Ph10onednn2004Ph10apache2004Ph10ctx-clock2004Ph10hackbench1004Ph10mbw2004Ph10openssl2004Ph10perf-bench2004Ph10stress-ng2004Ph10schbench2004Ph10t-test1-2004Ph10tinymembench2004Ph10openvino2004Ph10opencv2004Ph1012224.317131.3788122158622308715510922138130540012495521883295147638418872391589778196647017864986717114.7118296.3920720.6016118.9721039.8518556.23382.85384.06417.27859.83539.42451.72135.04100.3330368.70522217416.2952112145.00517910780.410785.110707.55929.135916.135899.0414.333310.070211.15729.7303013.88346.348116.5918414.01033.5859427.215223.780021.082020782.2117569.54776.5785994.75111376.9901191.53376561141841377510713.4757921300716430.00203340.452715180.95129.562312.358365788.2534500114.191367.2118.35459.9394.7528675.99234591.40644776.314594.771037.1249739.061396806.2096321.9745987.9710474751.67214.5277827.611846.77360.670.547317.900.544825.220.834875.160.821.722285.241.722283.5317283034262220839OpenBenchmarking.org

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: Object Detectionopencv2004Ph1040K80K120K160K200KSE +/- 3332.85, N = 121728301. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

perf-bench

This test profile is used for running Linux perf-bench, the benchmark support within the Linux kernel's perf tool. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Sched Pipeperf-bench2004Ph107K14K21K28K35KSE +/- 285.95, N = 12337651. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lcrypto -lz -lnuma

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

Hackbench

This is a benchmark of Hackbench, a test of the Linux kernel scheduler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterHackbenchCount: 16 - Type: Processhackbench1004Ph101530456075SE +/- 1.01, N = 1569.551. (CC) gcc options: -lpthread

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: Features 2Dopencv2004Ph1070K140K210K280K350KSE +/- 1506.55, N = 33426221. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

Tinymembench

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

OpenBenchmarking.orgMB/s, More Is BetterTinymembench 2018-05-28Standard Memsettinymembench2004Ph102K4K6K8K10KSE +/- 34.64, N = 37827.61. (CC) gcc options: -O2 -lm

OpenBenchmarking.orgMB/s, More Is BetterTinymembench 2018-05-28Standard Memcpytinymembench2004Ph103K6K9K12K15KSE +/- 52.12, N = 311846.71. (CC) gcc options: -O2 -lm

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MMAPstress-ng2004Ph10918273645SE +/- 1.00, N = 1540.451. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Context Switchingstress-ng2004Ph10600K1200K1800K2400K3000KSE +/- 156049.06, N = 152715180.951. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

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

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: 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: 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 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

OpenCV

This is a benchmark of the OpenCV (Computer Vision) library's built-in performance tests. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: DNN - Deep Neural Networkopencv2004Ph104K8K12K16K20KSE +/- 486.54, N = 15208391. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

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: 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: 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: Add - Benchmark: Integerramspeed2004PH1-4K8K12K16K20KSE +/- 9.28, N = 320720.601. (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: Floating Pointramspeed2004PH1-4K8K12K16K20KSE +/- 26.66, N = 318556.231. (CC) gcc options: -O3 -march=native

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: 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 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 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

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

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUopenvino2004Ph1016003200480064008000SE +/- 20.27, N = 37360.67

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPUopenvino2004Ph100.12150.2430.36450.4860.6075SE +/- 0.00, N = 30.54

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUopenvino2004Ph1016003200480064008000SE +/- 12.60, N = 37317.90

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPUopenvino2004Ph100.12150.2430.36450.4860.6075SE +/- 0.00, N = 30.54

Hackbench

This is a benchmark of Hackbench, a test of the Linux kernel scheduler. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterHackbenchCount: 16 - Type: Threadhackbench1004Ph1020406080100SE +/- 0.57, N = 376.581. (CC) gcc options: -lpthread

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUopenvino2004Ph1010002000300040005000SE +/- 6.85, N = 34825.22

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPUopenvino2004Ph100.18680.37360.56040.74720.934SE +/- 0.00, N = 30.83

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUopenvino2004Ph1010002000300040005000SE +/- 21.90, N = 34875.16

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPUopenvino2004Ph100.18450.3690.55350.7380.9225SE +/- 0.00, N = 30.82

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: Sharpengraphics-magick2004Ph1020406080100881. (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: Noise-Gaussiangraphics-magick2004Ph10306090120150SE +/- 0.33, N = 31581. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lz -lm -lpthread

OpenVINO

This is a test of the Intel OpenVINO, a toolkit around neural networks, using its built-in benchmarking support and analyzing the throughput and latency for various models. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUopenvino2004Ph100.3870.7741.1611.5481.935SE +/- 0.00, N = 31.72

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPUopenvino2004Ph105001000150020002500SE +/- 7.92, N = 32285.24

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUopenvino2004Ph100.3870.7741.1611.5481.935SE +/- 0.00, N = 31.72

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPUopenvino2004Ph105001000150020002500SE +/- 7.69, N = 32283.53

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: 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: Swirlgraphics-magick2004Ph1070140210280350SE +/- 0.88, N = 33081. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lz -lm -lpthread

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: Rotategraphics-magick2004Ph10110220330440550SE +/- 0.88, N = 35101. (CC) gcc options: -fopenmp -O2 -pthread -ljpeg -lz -lm -lpthread

t-test1

This is a test of t-test1 for basic memory allocator benchmarks. Note this test profile is currently very basic and the overall time does include the warmup time of the custom t-test1 compilation. Improvements welcome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Bettert-test1 2017-01-13Threads: 1t-test1-2004Ph101224364860SE +/- 0.22, N = 351.671. (CC) gcc options: -pthread

Apache Benchmark

This is a test of ab, which is the Apache benchmark program. This test profile measures how many requests per second a given system can sustain when carrying out 1,000,000 requests with 100 requests being carried out concurrently. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgRequests Per Second, More Is BetterApache Benchmark 2.4.29Static Web Page Servingapache2004Ph104K8K12K16K20KSE +/- 28.82, N = 320782.211. (CC) gcc options: -shared -fPIC -O2 -pthread

perf-bench

This test profile is used for running Linux perf-bench, the benchmark support within the Linux kernel's perf tool. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Epoll Waitperf-bench2004Ph1013K26K39K52K65KSE +/- 109.01, N = 3611411. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lcrypto -lz -lnuma

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: NUMAstress-ng2004Ph10306090120150SE +/- 0.92, N = 3129.561. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU Stressstress-ng2004Ph105001000150020002500SE +/- 0.45, N = 32312.351. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

Schbench

This is a benchmark of Schbench, a Linux kernel scheduler benchmark developed by Facebook. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgusec, 99.9th Latency Percentile, Fewer Is BetterSchbenchMessage Threads: 8 - Workers Per Message Thread: 16schbench2004Ph1020K40K60K80K100KSE +/- 682.67, N = 31047471. (CC) gcc options: -O2 -lpthread

Stress-NG

Stress-NG is a Linux stress tool developed by Colin King of Canonical. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: System V Message Passingstress-ng2004Ph102M4M6M8M10MSE +/- 92479.51, N = 38365788.251. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Mallocstress-ng2004Ph107M14M21M28M35MSE +/- 35888.73, N = 334500114.191. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Cryptostress-ng2004Ph1030060090012001500SE +/- 1.13, N = 31367.211. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: CPU Cachestress-ng2004Ph10510152025SE +/- 0.19, N = 318.351. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: MEMFDstress-ng2004Ph10100200300400500SE +/- 2.39, N = 3459.931. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Glibc Qsort Data Sortingstress-ng2004Ph1020406080100SE +/- 0.48, N = 394.751. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Matrix Mathstress-ng2004Ph106K12K18K24K30KSE +/- 52.11, N = 328675.991. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Atomicstress-ng2004Ph1050K100K150K200K250KSE +/- 100.00, N = 3234591.401. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Glibc C String Functionsstress-ng2004Ph10140K280K420K560K700KSE +/- 6688.33, N = 3644776.311. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Socket Activitystress-ng2004Ph1010002000300040005000SE +/- 19.14, N = 34594.771. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Memory Copyingstress-ng2004Ph102004006008001000SE +/- 0.64, N = 31037.121. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Vector Mathstress-ng2004Ph1011K22K33K44K55KSE +/- 32.31, N = 349739.061. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Semaphoresstress-ng2004Ph10300K600K900K1200K1500KSE +/- 647.20, N = 31396806.201. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: SENDFILEstress-ng2004Ph1020K40K60K80K100KSE +/- 49.20, N = 396321.971. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

OpenBenchmarking.orgBogo Ops/s, More Is BetterStress-NG 0.11.07Test: Forkingstress-ng2004Ph1010K20K30K40K50KSE +/- 256.35, N = 345987.971. (CC) gcc options: -O2 -std=gnu99 -lm -laio -lcrypt -lrt -lz -ldl -lpthread -lc

perf-bench

This test profile is used for running Linux perf-bench, the benchmark support within the Linux kernel's perf tool. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Futex Lock-Piperf-bench2004Ph102004006008001000SE +/- 2.65, N = 38411. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lcrypto -lz -lnuma

OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Futex Hashperf-bench2004Ph10800K1600K2400K3200K4000KSE +/- 1489.17, N = 337751071. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lcrypto -lz -lnuma

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: Compositescimark2004Ph1090180270360450SE +/- 2.85, N = 3417.271. (CC) gcc options: -lm

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

perf-bench

This test profile is used for running Linux perf-bench, the benchmark support within the Linux kernel's perf tool. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/sec, More Is Betterperf-benchBenchmark: Memcpy 1MBperf-bench2004Ph103691215SE +/- 0.05, N = 313.481. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lcrypto -lz -lnuma

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.Cnpb2004Ph1080160240320400SE +/- 1.59, N = 3384.061. (F9X) gfortran options: -O3 -march=native -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi2. Open MPI 4.0.3

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: 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: 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

OpenSSL

OpenSSL is an open-source toolkit that implements SSL (Secure Sockets Layer) and TLS (Transport Layer Security) protocols. This test measures the RSA 4096-bit performance of OpenSSL. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSigns Per Second, More Is BetterOpenSSL 1.1.1RSA 4096-bit Performanceopenssl2004Ph1030060090012001500SE +/- 2.38, N = 31191.51. (CC) gcc options: -pthread -m64 -O3 -lssl -lcrypto -ldl

perf-bench

This test profile is used for running Linux perf-bench, the benchmark support within the Linux kernel's perf tool. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgops/sec, More Is Betterperf-benchBenchmark: Syscall Basicperf-bench2004Ph103M6M9M12M15MSE +/- 117757.00, N = 7130071641. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lcrypto -lz -lnuma

MBW

This is a basic/simple memory (RAM) bandwidth benchmark for memory copy operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterMBW 2018-09-08Test: Memory Copy, Fixed Block Size - Array Size: 1024 MiBmbw2004Ph1013002600390052006500SE +/- 10.45, N = 35994.751. (CC) gcc options: -O3 -march=native

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: 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

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

perf-bench

This test profile is used for running Linux perf-bench, the benchmark support within the Linux kernel's perf tool. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgGB/sec, More Is Betterperf-benchBenchmark: Memset 1MBperf-bench2004Ph10714212835SE +/- 0.31, N = 330.001. (CC) gcc options: -O6 -ggdb3 -funwind-tables -std=gnu99 -Xlinker -lpthread -lrt -lm -ldl -lcrypto -lz -lnuma

t-test1

This is a test of t-test1 for basic memory allocator benchmarks. Note this test profile is currently very basic and the overall time does include the warmup time of the custom t-test1 compilation. Improvements welcome. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is Bettert-test1 2017-01-13Threads: 2t-test1-2004Ph1048121620SE +/- 0.09, N = 314.531. (CC) gcc options: -pthread

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: 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

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.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

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: 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: 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

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

MBW

This is a basic/simple memory (RAM) bandwidth benchmark for memory copy operations. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMiB/s, More Is BetterMBW 2018-09-08Test: Memory Copy - Array Size: 1024 MiBmbw2004Ph102K4K6K8K10KSE +/- 41.51, N = 311376.991. (CC) gcc options: -O3 -march=native

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: 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 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

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: TCP Socket - Message Bytes: 1024ipc-benchmark2004Ph10300K600K900K1200K1500KSE +/- 1589.09, N = 31305400

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: 128ipc-benchmark2004Ph10400K800K1200K1600K2000KSE +/- 20185.32, N = 41883295

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: 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: 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

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: FIFO Named Pipe - Message Bytes: 1024ipc-benchmark2004Ph10300K600K900K1200K1500KSE +/- 2419.86, N = 31476384

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

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

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: 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

ctx_clock

Ctx_clock is a simple test program to measure the context switch time in clock cycles. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgClocks, Fewer Is Betterctx_clockContext Switch Timectx-clock2004Ph104080120160200175

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: Dense LU Matrix Factorizationscimark2004Ph10120240360480600SE +/- 28.52, N = 3539.421. (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

106 Results Shown

OpenCV
perf-bench
NAS Parallel Benchmarks
Hackbench
OpenCV
Tinymembench:
  Standard Memset
  Standard Memcpy
Stress-NG:
  MMAP
  Context Switching
CacheBench:
  Read / Modify / Write
  Write
  Read
oneDNN:
  Recurrent Neural Network Training - bf16bf16bf16 - CPU
  Recurrent Neural Network Training - u8s8f32 - CPU
  Recurrent Neural Network Training - f32 - CPU
OpenCV
RAMspeed SMP:
  Scale - Integer
  Average - Integer
  Add - Integer
  Scale - Floating Point
  Add - Floating Point
  Average - Floating Point
oneDNN:
  Recurrent Neural Network Inference - bf16bf16bf16 - CPU
  Recurrent Neural Network Inference - f32 - CPU
  Recurrent Neural Network Inference - u8s8f32 - CPU
Sysbench
OpenVINO:
  Person Detection 0106 FP32 - CPU:
    ms
    FPS
  Person Detection 0106 FP16 - CPU:
    ms
    FPS
Hackbench
OpenVINO:
  Face Detection 0106 FP16 - CPU:
    ms
    FPS
  Face Detection 0106 FP32 - CPU:
    ms
    FPS
GraphicsMagick:
  Sharpen
  Enhanced
  Noise-Gaussian
OpenVINO:
  Age Gender Recognition Retail 0013 FP16 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP32 - CPU:
    ms
    FPS
GraphicsMagick:
  Resizing
  Swirl
  HWB Color Space
  Rotate
t-test1
Apache Benchmark
perf-bench
Stress-NG:
  NUMA
  CPU Stress
Schbench
Stress-NG:
  System V Message Passing
  Malloc
  Crypto
  CPU Cache
  MEMFD
  Glibc Qsort Data Sorting
  Matrix Math
  Atomic
  Glibc C String Functions
  Socket Activity
  Memory Copying
  Vector Math
  Semaphores
  SENDFILE
  Forking
perf-bench:
  Futex Lock-Pi
  Futex Hash
SciMark
Algebraic Multi-Grid Benchmark
perf-bench
NAS Parallel Benchmarks
oneDNN:
  Deconvolution Batch shapes_1d - f32 - CPU
  Deconvolution Batch shapes_1d - u8s8f32 - CPU
OpenSSL
perf-bench
MBW
oneDNN:
  IP Shapes 1D - f32 - CPU
  IP Shapes 1D - u8s8f32 - CPU
perf-bench
t-test1
oneDNN
Sysbench
oneDNN:
  Matrix Multiply Batch Shapes Transformer - f32 - CPU
  Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPU
IPC_benchmark
MBW
oneDNN:
  IP Shapes 3D - f32 - CPU
  IP Shapes 3D - u8s8f32 - CPU
IPC_benchmark:
  TCP Socket - 1024
  Unnamed Unix Domain Socket - 128
  FIFO Named Pipe - 128
oneDNN:
  Convolution Batch Shapes Auto - u8s8f32 - CPU
  Convolution Batch Shapes Auto - f32 - CPU
IPC_benchmark:
  FIFO Named Pipe - 1024
  TCP Socket - 128
  Unnamed Pipe - 1024
  Unnamed Pipe - 128
oneDNN
ctx_clock
SciMark:
  Jacobi Successive Over-Relaxation
  Dense LU Matrix Factorization
  Sparse Matrix Multiply
  Fast Fourier Transform
  Monte Carlo