Ryzen 9 3900X Pre 10.0

AMD Ryzen 9 3900X 12-Core testing with a ASUS TUF GAMING X570-PLUS (WI-FI) (2203 BIOS) and MSI AMD Radeon RX 470/480/570/570X/580/580X/590 8GB 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 2010132-PTS-RYZEN93929
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Ryzen 9 3900X Pre 10.0ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123AMD Ryzen 9 3900X 12-Core @ 3.80GHz (12 Cores / 24 Threads)ASUS TUF GAMING X570-PLUS (WI-FI) (2203 BIOS)AMD Starship/Matisse16GBSamsung SSD 970 EVO Plus 250GBMSI AMD Radeon RX 470/480/570/570X/580/580X/590 8GB (1366/2000MHz)AMD Ellesmere HDMI AudioG237HLRealtek RTL8111/8168/8411 + Intel-AC 9260Ubuntu 20.045.9.0-050900rc6daily20200922-generic (x86_64) 20200921GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.2.0-devel (git-64cdc13 2020-07-02 focal-oibaf-ppa) (LLVM 10.0.0)1.2.131GCC 9.3.0ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-checking=release --enable-clocale=gnu --enable-default-pie --enable-gnu-unique-object --enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,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: acpi-cpufreq ondemand - CPU Microcode: 0x8701021Graphics Details- GLAMORJava Details- OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Details- Python 3.8.2Security Details- itlb_multihit: Not affected + l1tf: Not affected + mds: Not affected + meltdown: Not affected + spec_store_bypass: Mitigation of SSB disabled via prctl and seccomp + spectre_v1: Mitigation of usercopy/swapgs barriers and __user pointer sanitization + spectre_v2: Mitigation of Full AMD retpoline IBPB: conditional STIBP: conditional RSB filling + srbds: Not affected + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite100%101%103%104%105%Sunflow Rendering SystemApache CouchDBRNNoiseHierarchical INTegrationBYTE Unix BenchmarkFFTEMlpack BenchmarkGROMACSTimed MAFFT AlignmentDolfynOpenVINOTimed HMMer SearchKeyDBVkFFTCaffe

Ryzen 9 3900X Pre 10.0vkfft: dolfyn: Computational Fluid Dynamicsffte: N=256, 3D Complex FFT Routinehmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAbyte: Dhrystone 2rnnoise: couchdb: 100 - 1000 - 24keydb: gromacs: Water Benchmarkcaffe: AlexNet - CPU - 100caffe: AlexNet - CPU - 200caffe: GoogleNet - CPU - 100caffe: GoogleNet - CPU - 200openvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP16 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Face Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP16 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: Person Detection 0106 FP32 - CPUopenvino: 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 - CPUhint: FLOATmlpack: scikit_icamlpack: scikit_qdamlpack: scikit_svmmlpack: scikit_linearridgeregressionsunflow: Global Illumination + Image Synthesis1231050715.87736548.225249167110.3579.16044523514.318.01994.290595609.781.110543061086331327592645882.752169.762.762165.182.052874.652.072842.389074.100.659058.690.65399518329.1773951.2067.9019.141.970.8551051915.74636176.402504837110.3079.13643727091.217.79894.728595688.851.122546661089941330282663992.742177.922.752173.642.062867.382.052875.889036.420.659019.950.65389302269.0321552.8570.1018.871.980.8271051315.81335945.600188814110.7059.07044693661.518.28397.417594773.281.107546121088481336062660152.742184.462.742175.362.052876.482.042912.379059.780.659028.010.65396880391.0112452.2468.0119.141.960.870OpenBenchmarking.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 2020-09-291232K4K6K8K10KSE +/- 10.53, N = 3SE +/- 2.08, N = 3SE +/- 5.36, N = 3105071051910513
OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-291232K4K6K8K10KMin: 10487 / Avg: 10506.67 / Max: 10523Min: 10516 / Avg: 10519 / Max: 10523Min: 10502 / Avg: 10512.67 / Max: 10519

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 Dynamics12348121620SE +/- 0.10, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 315.8815.7515.81
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics12348121620Min: 15.67 / Avg: 15.88 / Max: 15.98Min: 15.59 / Avg: 15.75 / Max: 15.99Min: 15.67 / Avg: 15.81 / Max: 15.9

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 Routine1238K16K24K32K40KSE +/- 25.04, N = 3SE +/- 25.84, N = 3SE +/- 43.86, N = 336548.2336176.4035945.601. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1236K12K18K24K30KMin: 36512.18 / Avg: 36548.23 / Max: 36596.35Min: 36133.87 / Avg: 36176.4 / Max: 36223.08Min: 35867.68 / Avg: 35945.6 / Max: 36019.451. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

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 Search12320406080100SE +/- 0.16, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 3110.36110.31110.711. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search12320406080100Min: 110.08 / Avg: 110.36 / Max: 110.65Min: 110.21 / Avg: 110.31 / Max: 110.38Min: 110.6 / Avg: 110.71 / Max: 110.811. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

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 RNA1233691215SE +/- 0.048, N = 3SE +/- 0.045, N = 3SE +/- 0.030, N = 39.1609.1369.0701. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA1233691215Min: 9.1 / Avg: 9.16 / Max: 9.26Min: 9.05 / Avg: 9.14 / Max: 9.18Min: 9.02 / Avg: 9.07 / Max: 9.121. (CC) gcc options: -std=c99 -O3 -lm -lpthread

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 212310M20M30M40M50MSE +/- 453087.94, N = 8SE +/- 296108.75, N = 3SE +/- 511494.97, N = 1244523514.343727091.244693661.5
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 21238M16M24M32M40MMin: 42001029.5 / Avg: 44523514.26 / Max: 46231806.7Min: 43136966.3 / Avg: 43727091.17 / Max: 44065230.9Min: 40742728.2 / Avg: 44693661.54 / Max: 46066797.9

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 2020-06-2812348121620SE +/- 0.23, N = 3SE +/- 0.11, N = 3SE +/- 0.22, N = 518.0217.8018.281. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28123510152025Min: 17.62 / Avg: 18.02 / Max: 18.42Min: 17.65 / Avg: 17.8 / Max: 18.02Min: 17.5 / Avg: 18.28 / Max: 18.771. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

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: 2412320406080100SE +/- 0.80, N = 3SE +/- 0.40, N = 3SE +/- 1.31, N = 394.2994.7397.421. (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: 2412320406080100Min: 93.12 / Avg: 94.29 / Max: 95.82Min: 94.09 / Avg: 94.73 / Max: 95.46Min: 95.15 / Avg: 97.42 / Max: 99.71. (CXX) g++ options: -std=c++14 -lmozjs-68 -lm -lerl_interface -lei -fPIC -MMD

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 6.0.16123130K260K390K520K650KSE +/- 376.19, N = 3SE +/- 1963.29, N = 3SE +/- 1139.62, N = 3595609.78595688.85594773.281. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16123100K200K300K400K500KMin: 594857.52 / Avg: 595609.78 / Max: 595997.72Min: 592307.37 / Avg: 595688.85 / Max: 599108.1Min: 592507.62 / Avg: 594773.28 / Max: 596121.281. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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 Benchmark1230.25250.5050.75751.011.2625SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.008, N = 31.1101.1221.1071. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark123246810Min: 1.11 / Avg: 1.11 / Max: 1.11Min: 1.12 / Avg: 1.12 / Max: 1.12Min: 1.09 / Avg: 1.11 / Max: 1.121. (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: AlexNet - Acceleration: CPU - Iterations: 10012312K24K36K48K60KSE +/- 62.22, N = 3SE +/- 240.71, N = 3SE +/- 29.04, N = 35430654666546121. (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: 1001239K18K27K36K45KMin: 54209 / Avg: 54306 / Max: 54422Min: 54391 / Avg: 54666.33 / Max: 55146Min: 54555 / Avg: 54612.33 / Max: 546491. (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: 20012320K40K60K80K100KSE +/- 290.10, N = 3SE +/- 155.31, N = 3SE +/- 119.13, N = 31086331089941088481. (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: 20012320K40K60K80K100KMin: 108264 / Avg: 108632.67 / Max: 109205Min: 108822 / Avg: 108994 / Max: 109304Min: 108685 / Avg: 108848 / Max: 1090801. (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: 10012330K60K90K120K150KSE +/- 137.10, N = 3SE +/- 186.39, N = 3SE +/- 187.48, N = 31327591330281336061. (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: 10012320K40K60K80K100KMin: 132544 / Avg: 132759.33 / Max: 133014Min: 132767 / Avg: 133028 / Max: 133389Min: 133231 / Avg: 133605.67 / Max: 1338061. (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: 20012360K120K180K240K300KSE +/- 274.66, N = 3SE +/- 863.36, N = 3SE +/- 575.36, N = 32645882663992660151. (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: 20012350K100K150K200K250KMin: 264153 / Avg: 264588 / Max: 265096Min: 264708 / Avg: 266398.67 / Max: 267548Min: 265046 / Avg: 266015 / Max: 2670371. (CXX) g++ options: -fPIC -O3 -rdynamic -lglog -lgflags -lprotobuf -lpthread -lsz -lz -ldl -lm -llmdb -lopenblas

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.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1230.61881.23761.85642.47523.094SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 32.752.742.74
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU123246810Min: 2.74 / Avg: 2.75 / Max: 2.76Min: 2.73 / Avg: 2.74 / Max: 2.75Min: 2.73 / Avg: 2.74 / Max: 2.75

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1235001000150020002500SE +/- 2.40, N = 3SE +/- 6.12, N = 3SE +/- 1.24, N = 32169.762177.922184.46
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU123400800120016002000Min: 2165.1 / Avg: 2169.76 / Max: 2173.08Min: 2165.73 / Avg: 2177.92 / Max: 2185.01Min: 2181.99 / Avg: 2184.46 / Max: 2185.83

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1230.6211.2421.8632.4843.105SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.762.752.74
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU123246810Min: 2.75 / Avg: 2.76 / Max: 2.77Min: 2.74 / Avg: 2.75 / Max: 2.75Min: 2.72 / Avg: 2.74 / Max: 2.76

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1235001000150020002500SE +/- 5.18, N = 3SE +/- 4.28, N = 3SE +/- 8.74, N = 32165.182173.642175.36
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU123400800120016002000Min: 2158.6 / Avg: 2165.18 / Max: 2175.4Min: 2169.17 / Avg: 2173.64 / Max: 2182.19Min: 2164.83 / Avg: 2175.36 / Max: 2192.7

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1230.46350.9271.39051.8542.3175SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 32.052.062.05
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU123246810Min: 2.01 / Avg: 2.05 / Max: 2.09Min: 2.05 / Avg: 2.06 / Max: 2.07Min: 2.01 / Avg: 2.05 / Max: 2.08

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1236001200180024003000SE +/- 27.41, N = 3SE +/- 6.58, N = 3SE +/- 30.86, N = 32874.652867.382876.48
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1235001000150020002500Min: 2835.59 / Avg: 2874.65 / Max: 2927.5Min: 2854.95 / Avg: 2867.38 / Max: 2877.36Min: 2834.66 / Avg: 2876.48 / Max: 2936.69

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1230.46580.93161.39741.86322.329SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 32.072.052.04
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU123246810Min: 2.07 / Avg: 2.07 / Max: 2.08Min: 2.02 / Avg: 2.05 / Max: 2.06Min: 1.99 / Avg: 2.04 / Max: 2.07

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1236001200180024003000SE +/- 13.63, N = 3SE +/- 8.79, N = 3SE +/- 43.99, N = 32842.382875.882912.37
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1235001000150020002500Min: 2828.69 / Avg: 2842.38 / Max: 2869.65Min: 2858.38 / Avg: 2875.88 / Max: 2886.16Min: 2858.55 / Avg: 2912.37 / Max: 2999.56

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1232K4K6K8K10KSE +/- 17.27, N = 3SE +/- 10.06, N = 3SE +/- 20.48, N = 39074.109036.429059.78
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU12316003200480064008000Min: 9043.35 / Avg: 9074.1 / Max: 9103.08Min: 9026.15 / Avg: 9036.42 / Max: 9056.53Min: 9019.85 / Avg: 9059.78 / Max: 9087.68

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1230.14630.29260.43890.58520.7315SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.650.650.65
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU123246810Min: 0.65 / Avg: 0.65 / Max: 0.65Min: 0.65 / Avg: 0.65 / Max: 0.65Min: 0.65 / Avg: 0.65 / Max: 0.66

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1232K4K6K8K10KSE +/- 6.80, N = 3SE +/- 6.98, N = 3SE +/- 17.84, N = 39058.699019.959028.01
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU12316003200480064008000Min: 9046.57 / Avg: 9058.69 / Max: 9070.11Min: 9005.98 / Avg: 9019.95 / Max: 9027.01Min: 8992.42 / Avg: 9028.01 / Max: 9048

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1230.14630.29260.43890.58520.7315SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.650.650.65
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU123246810Min: 0.65 / Avg: 0.65 / Max: 0.65Min: 0.65 / Avg: 0.65 / Max: 0.65Min: 0.65 / Avg: 0.65 / Max: 0.66

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: FLOAT12390M180M270M360M450MSE +/- 1244417.54, N = 3SE +/- 6439962.20, N = 3SE +/- 1719122.71, N = 3399518329.18389302269.03396880391.011. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT12370M140M210M280M350MMin: 397072991.24 / Avg: 399518329.18 / Max: 401142204.87Min: 376523300.52 / Avg: 389302269.03 / Max: 397085601.35Min: 394059757.59 / Avg: 396880391.01 / Max: 399993402.341. (CC) gcc options: -O3 -march=native -lm

Mlpack Benchmark

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

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica1231224364860SE +/- 0.68, N = 5SE +/- 0.40, N = 3SE +/- 0.30, N = 351.2052.8552.24
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_ica1231122334455Min: 49 / Avg: 51.2 / Max: 52.56Min: 52.43 / Avg: 52.85 / Max: 53.66Min: 51.65 / Avg: 52.24 / Max: 52.64

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda1231632486480SE +/- 0.08, N = 3SE +/- 0.04, N = 3SE +/- 0.15, N = 367.9070.1068.01
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_qda1231428425670Min: 67.74 / Avg: 67.9 / Max: 67.98Min: 70.03 / Avg: 70.1 / Max: 70.16Min: 67.83 / Avg: 68.01 / Max: 68.31

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm123510152025SE +/- 0.12, N = 3SE +/- 0.05, N = 3SE +/- 0.17, N = 319.1418.8719.14
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_svm123510152025Min: 18.9 / Avg: 19.14 / Max: 19.28Min: 18.8 / Avg: 18.87 / Max: 18.97Min: 18.82 / Avg: 19.14 / Max: 19.39

OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression1230.44550.8911.33651.7822.2275SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 31.971.981.96
OpenBenchmarking.orgSeconds, Fewer Is BetterMlpack BenchmarkBenchmark: scikit_linearridgeregression123246810Min: 1.95 / Avg: 1.97 / Max: 1.99Min: 1.95 / Avg: 1.98 / Max: 2.01Min: 1.95 / Avg: 1.96 / Max: 1.98

Sunflow Rendering System

This test runs benchmarks of the Sunflow Rendering System. The Sunflow Rendering System is an open-source render engine for photo-realistic image synthesis with a ray-tracing core. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image Synthesis1230.19580.39160.58740.78320.979SE +/- 0.011, N = 5SE +/- 0.014, N = 3SE +/- 0.009, N = 120.8550.8270.870MIN: 0.71 / MAX: 1.18MIN: 0.73 / MAX: 1.16MIN: 0.75 / MAX: 1.2
OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image Synthesis123246810Min: 0.82 / Avg: 0.86 / Max: 0.88Min: 0.81 / Avg: 0.83 / Max: 0.85Min: 0.83 / Avg: 0.87 / Max: 0.94

32 Results Shown

VkFFT
Dolfyn
FFTE
Timed HMMer Search
Timed MAFFT Alignment
BYTE Unix Benchmark
RNNoise
Apache CouchDB
KeyDB
GROMACS
Caffe:
  AlexNet - CPU - 100
  AlexNet - CPU - 200
  GoogleNet - CPU - 100
  GoogleNet - CPU - 200
OpenVINO:
  Face Detection 0106 FP16 - CPU:
    FPS
    ms
  Face Detection 0106 FP32 - CPU:
    FPS
    ms
  Person Detection 0106 FP16 - CPU:
    FPS
    ms
  Person Detection 0106 FP32 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP16 - CPU:
    FPS
    ms
  Age Gender Recognition Retail 0013 FP32 - CPU:
    FPS
    ms
Hierarchical INTegration
Mlpack Benchmark:
  scikit_ica
  scikit_qda
  scikit_svm
  scikit_linearridgeregression
Sunflow Rendering System