Xeon E3 1275 v6 Okt

Intel Xeon E3-1275 v6 testing with a ASUS P10S-M WS (4401 BIOS) and Intel HD P630 3GB 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 2010084-FI-XEONE312703
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Linux 5.4
October 08 2020
  3 Hours, 21 Minutes
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October 08 2020
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October 08 2020
  2 Hours, 34 Minutes
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Xeon E3 1275 v6 OktProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLOpenCLCompilerFile-SystemScreen ResolutionLinux 5.42Linux 5.9Intel Xeon E3-1275 v6 @ 4.20GHz (4 Cores / 8 Threads)ASUS P10S-M WS (4401 BIOS)Intel Xeon E3-1200 v6/7th16GBSamsung SSD 970 EVO Plus 500GBIntel HD P630 3GB (1150MHz)Realtek ALC1150VA24312 x Intel I210Ubuntu 20.045.4.0-48-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.4OpenCL 2.1GCC 9.3.0ext41920x10805.9.0-050900rc8daily20201007-generic (x86_64) 20201006OpenBenchmarking.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++,gm2 --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none,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: intel_pstate powersave - CPU Microcode: 0xd6Python Details- Python 3.8.2Security Details- Linux 5.4: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable - 2: itlb_multihit: KVM: Mitigation of Split huge pages + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable - Linux 5.9: itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

Linux 5.42Linux 5.9Result OverviewPhoronix Test Suite100%102%104%106%108%VkFFTApache CouchDBKeyDBMlpack BenchmarkLeelaChessZeroFFTETimed MAFFT AlignmentBYTE Unix BenchmarkRNNoiseHierarchical INTegrationOpenVINOGROMACSTimed HMMer SearchDolfynCaffe

Xeon E3 1275 v6 Oktvkfft: lczero: Eigenlczero: Randgromacs: Water Benchmarkcaffe: GoogleNet - CPU - 200lczero: BLAScaffe: GoogleNet - CPU - 100couchdb: 100 - 1000 - 24mlpack: scikit_qdabyte: Dhrystone 2caffe: AlexNet - CPU - 200hmmer: Pfam Database Searchhint: FLOATopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUkeydb: openvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUmlpack: scikit_icaopenvino: 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 - CPUcaffe: AlexNet - CPU - 100mlpack: scikit_svmrnnoise: dolfyn: Computational Fluid Dynamicsmafft: Multiple Sequence Alignment - LSU RNAffte: N=256, 3D Complex FFT RoutineLinux 5.42Linux 5.911157952238600.553291651897145923150.71577.0941609980.1117319114.069412753358.404734864.780.84853.430.8434487.143004.791.333018.091.3265.591.233219.891.233226.225877826.2125.70919.57511.26222462.11161630111148062238030.553291689881146017149.59277.0541481692.6117471114.174413515198.135474866.090.84856.920.80432111.173013.351.323004.391.3364.731.233209.621.243204.085884225.9425.75119.57811.19822232.75775551312020.552292130887148763140.72075.1141393101.0117514114.151411542229.148064848.100.814883.840.80418251.593012.361.333003.651.3361.521.223231.981.233231.595875526.3925.84219.57911.20122362.035505859OpenBenchmarking.org

VkFFT

VkFFT is a Fast Fourier Transform (FFT) Library that is GPU accelerated by means of the Vulkan API. The VkFFT benchmark runs FFT performance differences of many different sizes before returning an overall benchmark score. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-29Linux 5.42Linux 5.930060090012001500SE +/- 0.58, N = 3SE +/- 0.58, N = 3SE +/- 0.88, N = 3111511141202
OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-29Linux 5.42Linux 5.92004006008001000Min: 1114 / Avg: 1115 / Max: 1116Min: 1113 / Avg: 1114 / Max: 1115Min: 1200 / Avg: 1201.67 / Max: 1203

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.422004006008001000SE +/- 4.04, N = 3SE +/- 4.84, N = 37958061. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: EigenLinux 5.42140280420560700Min: 790 / Avg: 795 / Max: 803Min: 796 / Avg: 805.67 / Max: 8111. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: RandomLinux 5.4250K100K150K200K250KSE +/- 103.99, N = 3SE +/- 402.57, N = 32238602238031. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: RandomLinux 5.4240K80K120K160K200KMin: 223722 / Avg: 223860.33 / Max: 224064Min: 223088 / Avg: 223803.33 / Max: 2244811. (CXX) g++ options: -flto -pthread

GROMACS

The GROMACS (GROningen MAchine for Chemical Simulations) molecular dynamics package testing on the CPU with the water_GMX50 data. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkLinux 5.42Linux 5.90.12440.24880.37320.49760.622SE +/- 0.002, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 30.5530.5530.5521. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water BenchmarkLinux 5.42Linux 5.9246810Min: 0.55 / Avg: 0.55 / Max: 0.56Min: 0.55 / Avg: 0.55 / Max: 0.56Min: 0.55 / Avg: 0.55 / Max: 0.551. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Linux 5.42Linux 5.960K120K180K240K300KSE +/- 283.61, N = 3SE +/- 178.68, N = 3SE +/- 106.07, N = 32916512916892921301. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 200Linux 5.42Linux 5.950K100K150K200K250KMin: 291262 / Avg: 291651 / Max: 292203Min: 291506 / Avg: 291688.67 / Max: 292046Min: 291956 / Avg: 292129.67 / Max: 2923221. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

LeelaChessZero

LeelaChessZero (lc0 / lczero) is a chess engine automated vian neural networks. This test profile can be used for OpenCL, CUDA + cuDNN, and BLAS (CPU-based) benchmarking. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.42Linux 5.92004006008001000SE +/- 7.22, N = 3SE +/- 14.10, N = 38978818871. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLASLinux 5.42Linux 5.9160320480640800Min: 888 / Avg: 896.67 / Max: 911Min: 854 / Avg: 881.33 / Max: 9011. (CXX) g++ options: -flto -pthread

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Linux 5.42Linux 5.930K60K90K120K150KSE +/- 206.47, N = 3SE +/- 31.86, N = 3SE +/- 2362.60, N = 31459231460171487631. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: GoogleNet - Acceleration: CPU - Iterations: 100Linux 5.42Linux 5.930K60K90K120K150KMin: 145519 / Avg: 145923 / Max: 146199Min: 145979 / Avg: 146016.67 / Max: 146080Min: 146363 / Avg: 148763 / Max: 1534881. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Apache CouchDB

This is a bulk insertion benchmark of Apache CouchDB. CouchDB is a document-oriented NoSQL database implemented in Erlang. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24Linux 5.42Linux 5.9306090120150SE +/- 0.50, N = 3SE +/- 1.49, N = 3SE +/- 0.43, N = 3150.72149.59140.721. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD
OpenBenchmarking.orgSeconds, Fewer Is BetterApache CouchDB 3.1.1Bulk Size: 100 - Inserts: 1000 - Rounds: 24Linux 5.42Linux 5.9306090120150Min: 150.21 / Avg: 150.72 / Max: 151.72Min: 147.58 / Avg: 149.59 / Max: 152.51Min: 139.86 / Avg: 140.72 / Max: 141.181. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaLinux 5.42Linux 5.920406080100SE +/- 0.15, N = 3SE +/- 0.23, N = 3SE +/- 0.42, N = 377.0977.0575.11
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qdaLinux 5.42Linux 5.91530456075Min: 76.81 / Avg: 77.09 / Max: 77.34Min: 76.73 / Avg: 77.05 / Max: 77.49Min: 74.51 / Avg: 75.11 / Max: 75.91

BYTE Unix Benchmark

This is a test of BYTE. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Linux 5.42Linux 5.99M18M27M36M45MSE +/- 58246.42, N = 3SE +/- 71401.87, N = 3SE +/- 95066.23, N = 341609980.141481692.641393101.0
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 2Linux 5.42Linux 5.97M14M21M28M35MMin: 41493647.9 / Avg: 41609980.13 / Max: 41673442.1Min: 41385390.2 / Avg: 41481692.6 / Max: 41621162.3Min: 41206027 / Avg: 41393101 / Max: 41516053.2

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Linux 5.42Linux 5.930K60K90K120K150KSE +/- 174.92, N = 3SE +/- 58.89, N = 3SE +/- 37.56, N = 31173191174711175141. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 200Linux 5.42Linux 5.920K40K60K80K100KMin: 116969 / Avg: 117318.67 / Max: 117503Min: 117369 / Avg: 117471 / Max: 117573Min: 117447 / Avg: 117513.67 / Max: 1175771. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Timed HMMer Search

This test searches through the Pfam database of profile hidden markov models. The search finds the domain structure of Drosophila Sevenless protein. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchLinux 5.42Linux 5.9306090120150SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3114.07114.17114.151. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database SearchLinux 5.42Linux 5.920406080100Min: 114.03 / Avg: 114.07 / Max: 114.12Min: 114.12 / Avg: 114.17 / Max: 114.22Min: 114.12 / Avg: 114.15 / Max: 114.21. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Hierarchical INTegration

This test runs the U.S. Department of Energy's Ames Laboratory Hierarchical INTegration (HINT) benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATLinux 5.42Linux 5.990M180M270M360M450MSE +/- 723816.85, N = 3SE +/- 469413.17, N = 3SE +/- 569305.44, N = 3412753358.40413515198.14411542229.151. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOATLinux 5.42Linux 5.970M140M210M280M350MMin: 411483818.08 / Avg: 412753358.4 / Max: 413990567.79Min: 412714632.33 / Avg: 413515198.14 / Max: 414340177.37Min: 410888059.45 / Avg: 411542229.15 / Max: 412676390.551. (CC) gcc options: -O3 -march=native -lm

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPULinux 5.42Linux 5.910002000300040005000SE +/- 7.10, N = 3SE +/- 4.22, N = 3SE +/- 26.16, N = 34864.784866.094848.10
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPULinux 5.42Linux 5.98001600240032004000Min: 4853.78 / Avg: 4864.78 / Max: 4878.06Min: 4861.42 / Avg: 4866.09 / Max: 4874.52Min: 4799.23 / Avg: 4848.1 / Max: 4888.71

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPULinux 5.42Linux 5.90.18230.36460.54690.72920.9115SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 30.800.800.81
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPULinux 5.42Linux 5.9246810Min: 0.8 / Avg: 0.8 / Max: 0.8Min: 0.8 / Avg: 0.8 / Max: 0.8Min: 0.8 / Avg: 0.81 / Max: 0.82

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPULinux 5.42Linux 5.910002000300040005000SE +/- 6.23, N = 3SE +/- 9.77, N = 3SE +/- 32.35, N = 34853.434856.924883.84
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPULinux 5.42Linux 5.98001600240032004000Min: 4844.42 / Avg: 4853.43 / Max: 4865.4Min: 4846.2 / Avg: 4856.92 / Max: 4876.43Min: 4844.41 / Avg: 4883.84 / Max: 4947.98

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPULinux 5.42Linux 5.90.180.360.540.720.9SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.800.800.80
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPULinux 5.42Linux 5.9246810Min: 0.8 / Avg: 0.8 / Max: 0.8Min: 0.8 / Avg: 0.8 / Max: 0.81Min: 0.8 / Avg: 0.8 / Max: 0.81

KeyDB

A benchmark of KeyDB as a multi-threaded fork of the Redis server. The KeyDB benchmark is conducted using memtier-benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16Linux 5.42Linux 5.990K180K270K360K450KSE +/- 474.13, N = 3SE +/- 244.04, N = 3SE +/- 472.17, N = 3434487.14432111.17418251.591. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16Linux 5.42Linux 5.980K160K240K320K400KMin: 433604.35 / Avg: 434487.14 / Max: 435228.4Min: 431760.78 / Avg: 432111.17 / Max: 432580.63Min: 417584.48 / Avg: 418251.59 / Max: 419163.981. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPULinux 5.42Linux 5.96001200180024003000SE +/- 5.83, N = 3SE +/- 5.45, N = 3SE +/- 5.03, N = 33004.793013.353012.36
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPULinux 5.42Linux 5.95001000150020002500Min: 2994.28 / Avg: 3004.79 / Max: 3014.41Min: 3005.26 / Avg: 3013.35 / Max: 3023.71Min: 3006.1 / Avg: 3012.36 / Max: 3022.31

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPULinux 5.42Linux 5.90.29930.59860.89791.19721.4965SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.331.321.33
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPULinux 5.42Linux 5.9246810Min: 1.32 / Avg: 1.33 / Max: 1.33Min: 1.32 / Avg: 1.32 / Max: 1.32Min: 1.32 / Avg: 1.33 / Max: 1.33

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPULinux 5.42Linux 5.96001200180024003000SE +/- 18.37, N = 3SE +/- 6.12, N = 3SE +/- 8.93, N = 33018.093004.393003.65
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPULinux 5.42Linux 5.95001000150020002500Min: 2998.89 / Avg: 3018.09 / Max: 3054.82Min: 2992.3 / Avg: 3004.39 / Max: 3012.06Min: 2988.61 / Avg: 3003.65 / Max: 3019.52

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPULinux 5.42Linux 5.90.29930.59860.89791.19721.4965SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.321.331.33
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPULinux 5.42Linux 5.9246810Min: 1.31 / Avg: 1.32 / Max: 1.33Min: 1.33 / Avg: 1.33 / Max: 1.33Min: 1.32 / Avg: 1.33 / Max: 1.34

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaLinux 5.42Linux 5.91530456075SE +/- 0.57, N = 3SE +/- 0.16, N = 3SE +/- 0.76, N = 365.5964.7361.52
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_icaLinux 5.42Linux 5.91326395265Min: 64.46 / Avg: 65.59 / Max: 66.15Min: 64.41 / Avg: 64.73 / Max: 64.92Min: 60.38 / Avg: 61.52 / Max: 62.95

OpenVINO

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPULinux 5.42Linux 5.90.27680.55360.83041.10721.384SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.231.231.22
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPULinux 5.42Linux 5.9246810Min: 1.23 / Avg: 1.23 / Max: 1.23Min: 1.23 / Avg: 1.23 / Max: 1.24Min: 1.22 / Avg: 1.22 / Max: 1.23

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPULinux 5.42Linux 5.97001400210028003500SE +/- 3.22, N = 3SE +/- 3.48, N = 3SE +/- 10.83, N = 33219.893209.623231.98
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPULinux 5.42Linux 5.96001200180024003000Min: 3213.46 / Avg: 3219.89 / Max: 3223.47Min: 3203.6 / Avg: 3209.62 / Max: 3215.65Min: 3211.2 / Avg: 3231.98 / Max: 3247.65

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPULinux 5.42Linux 5.90.2790.5580.8371.1161.395SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.231.241.23
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPULinux 5.42Linux 5.9246810Min: 1.22 / Avg: 1.23 / Max: 1.23Min: 1.23 / Avg: 1.24 / Max: 1.24Min: 1.22 / Avg: 1.23 / Max: 1.23

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPULinux 5.42Linux 5.97001400210028003500SE +/- 10.16, N = 3SE +/- 6.58, N = 3SE +/- 8.94, N = 33226.223204.083231.59
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPULinux 5.42Linux 5.96001200180024003000Min: 3206.43 / Avg: 3226.22 / Max: 3240.08Min: 3195.73 / Avg: 3204.08 / Max: 3217.07Min: 3214.67 / Avg: 3231.59 / Max: 3245.04

Caffe

This is a benchmark of the Caffe deep learning framework and currently supports the AlexNet and Googlenet model and execution on both CPUs and NVIDIA GPUs. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Linux 5.42Linux 5.913K26K39K52K65KSE +/- 41.58, N = 3SE +/- 77.95, N = 3SE +/- 38.11, N = 35877858842587551. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas
OpenBenchmarking.orgMilli-Seconds, Fewer Is BetterCaffe 2020-02-13Model: AlexNet - Acceleration: CPU - Iterations: 100Linux 5.42Linux 5.910K20K30K40K50KMin: 58716 / Avg: 58778 / Max: 58857Min: 58708 / Avg: 58841.67 / Max: 58978Min: 58689 / Avg: 58755.33 / Max: 588211. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

Mlpack Benchmark

Mlpack benchmark scripts for machine learning libraries Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.42Linux 5.9612182430SE +/- 0.07, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 326.2125.9426.39
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svmLinux 5.42Linux 5.9612182430Min: 26.08 / Avg: 26.21 / Max: 26.31Min: 25.91 / Avg: 25.94 / Max: 25.96Min: 26.33 / Avg: 26.39 / Max: 26.48

RNNoise

RNNoise is a recurrent neural network for audio noise reduction developed by Mozilla and Xiph.Org. This test profile is a single-threaded test measuring the time to denoise a sample 26 minute long 16-bit RAW audio file using this recurrent neural network noise suppression library. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Linux 5.42Linux 5.9612182430SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 325.7125.7525.841. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28Linux 5.42Linux 5.9612182430Min: 25.67 / Avg: 25.71 / Max: 25.73Min: 25.72 / Avg: 25.75 / Max: 25.77Min: 25.79 / Avg: 25.84 / Max: 25.891. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

Dolfyn

Dolfyn is a Computational Fluid Dynamics (CFD) code of modern numerical simulation techniques. The Dolfyn test profile measures the execution time of the bundled computational fluid dynamics demos that are bundled with Dolfyn. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsLinux 5.42Linux 5.9510152025SE +/- 0.08, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 319.5819.5819.58
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid DynamicsLinux 5.42Linux 5.9510152025Min: 19.46 / Avg: 19.58 / Max: 19.74Min: 19.54 / Avg: 19.58 / Max: 19.63Min: 19.52 / Avg: 19.58 / Max: 19.65

Timed MAFFT Alignment

This test performs an alignment of 100 pyruvate decarboxylase sequences. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNALinux 5.42Linux 5.93691215SE +/- 0.12, N = 3SE +/- 0.07, N = 3SE +/- 0.02, N = 311.2611.2011.201. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNALinux 5.42Linux 5.93691215Min: 11.09 / Avg: 11.26 / Max: 11.5Min: 11.12 / Avg: 11.2 / Max: 11.33Min: 11.17 / Avg: 11.2 / Max: 11.221. (CC) gcc options: -std=c99 -O3 -lm -lpthread

FFTE

FFTE is a package by Daisuke Takahashi to compute Discrete Fourier Transforms of 1-, 2- and 3- dimensional sequences of length (2^p)*(3^q)*(5^r). Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineLinux 5.42Linux 5.95K10K15K20K25KSE +/- 57.79, N = 3SE +/- 74.57, N = 3SE +/- 22.96, N = 322462.1122232.7622362.041. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT RoutineLinux 5.42Linux 5.94K8K12K16K20KMin: 22349.76 / Avg: 22462.11 / Max: 22541.8Min: 22120.19 / Avg: 22232.76 / Max: 22373.77Min: 22330.55 / Avg: 22362.04 / Max: 22406.721. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

33 Results Shown

VkFFT
LeelaChessZero:
  Eigen
  Rand
GROMACS
Caffe
LeelaChessZero
Caffe
Apache CouchDB
Mlpack Benchmark
BYTE Unix Benchmark
Caffe
Timed HMMer Search
Hierarchical INTegration
OpenVINO:
  Person Detection 0106 FP16 - CPU:
    ms
    FPS
  Person Detection 0106 FP32 - CPU:
    ms
    FPS
KeyDB
OpenVINO:
  Face Detection 0106 FP16 - CPU:
    ms
    FPS
  Face Detection 0106 FP32 - CPU:
    ms
    FPS
Mlpack Benchmark
OpenVINO:
  Age Gender Recognition Retail 0013 FP16 - CPU:
    ms
    FPS
  Age Gender Recognition Retail 0013 FP32 - CPU:
    ms
    FPS
Caffe
Mlpack Benchmark
RNNoise
Dolfyn
Timed MAFFT Alignment
FFTE