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Ryzen 7 2700X Okt

AMD Ryzen 7 2700X Eight-Core testing with a ASUS ROG CROSSHAIR VII HERO (WI-FI) (1201 BIOS) and Sapphire AMD Radeon RX 470/480/570/570X/580/580X/590 4GB on Ubuntu 20.04 via the Phoronix Test Suite.

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Ryzen 7 2700X OktProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123AMD Ryzen 7 2700X Eight-Core @ 3.70GHz (8 Cores / 16 Threads)ASUS ROG CROSSHAIR VII HERO (WI-FI) (1201 BIOS)AMD 17h16GBSamsung SSD 970 EVO 250GBSapphire AMD Radeon RX 470/480/570/570X/580/580X/590 4GB (1260/1750MHz)AMD Ellesmere HDMI AudioVA2431Intel I211 + Realtek RTL8822BE 802.11a/b/g/n/acUbuntu 20.045.9.0-050900rc6daily20200922-generic (x86_64) 20200921GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.8 (LLVM 10.0.0)1.2.128GCC 9.3.0ext41920x1080OpenBenchmarking.orgCompiler Details- 1: --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 - 2: --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 - 3: --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 Processor Details- Scaling Governor: acpi-cpufreq ondemand - CPU Microcode: 0x800820dPython Details- 1: Python 2.7.18rc1 + Python 3.8.2- 2: Python 2.7.18rc1 + Python 3.8.2- 3: Python 2.7.18rc1 + Python 3.8.5Security 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: disabled RSB filling + srbds: Not affected + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite 10.2.0100%101%102%102%103%Apache CouchDBBYTE Unix BenchmarkHierarchical INTegrationGROMACSRNNoiseTSCPdcrawKeyDBOpenVINOTimed MAFFT AlignmentFFTEDolfynTimed HMMer SearchCraftyDeepSpeechCaffe

Ryzen 7 2700X Oktdolfyn: Computational Fluid Dynamicsffte: N=256, 3D Complex FFT Routinehmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAbyte: Dhrystone 2crafty: Elapsed Timetscp: AI Chess Performancedcraw: RAW To PPM Image Conversiondeepspeech: CPUrnnoise: 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: FLOAT12317.43234357.438328132116.35813.77441708571.07527828115331443.84483.7534919.433124.065454364.100.579602251200041456292895951.253191.471.253195.910.804991.020.805008.342875.061.382894.151.37354297539.7805817.49834428.914242045116.16113.71041588834.17535560116201444.14483.6188219.304120.307453318.180.577602181203831456502898591.253188.861.253188.550.775148.570.805000.562868.111.382874.631.38358540137.0267917.45234286.174931642116.06613.72042160536.27509744115377743.90583.8980019.274123.105451306.140.583601091200731457082923931.253191.651.253195.410.795018.160.794984.852858.891.392861.461.38358187781.12470OpenBenchmarking.org

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 +/- 0.08, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 317.4317.5017.45
OpenBenchmarking.orgSeconds, Fewer Is BetterDolfyn 0.527Computational Fluid Dynamics12348121620Min: 17.3 / Avg: 17.43 / Max: 17.56Min: 17.46 / Avg: 17.5 / Max: 17.53Min: 17.4 / Avg: 17.45 / Max: 17.51

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 Routine1237K14K21K28K35KSE +/- 6.14, N = 3SE +/- 83.39, N = 3SE +/- 38.16, N = 334357.4434428.9134286.171. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1236K12K18K24K30KMin: 34347.02 / Avg: 34357.44 / Max: 34368.28Min: 34280.49 / Avg: 34428.91 / Max: 34568.99Min: 34211.47 / Avg: 34286.17 / Max: 34337.051. (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 Search123306090120150SE +/- 0.03, N = 3SE +/- 0.12, N = 3SE +/- 0.07, N = 3116.36116.16116.071. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search12320406080100Min: 116.31 / Avg: 116.36 / Max: 116.42Min: 115.95 / Avg: 116.16 / Max: 116.37Min: 115.92 / Avg: 116.07 / Max: 116.151. (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 RNA12348121620SE +/- 0.12, N = 3SE +/- 0.04, N = 3SE +/- 0.07, N = 313.7713.7113.721. (CC) gcc options: -std=c99 -O3 -lm -lpthread
OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA12348121620Min: 13.6 / Avg: 13.77 / Max: 14.01Min: 13.65 / Avg: 13.71 / Max: 13.78Min: 13.58 / Avg: 13.72 / Max: 13.791. (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 21239M18M27M36M45MSE +/- 337104.45, N = 3SE +/- 404388.91, N = 3SE +/- 83724.51, N = 341708571.041588834.142160536.2
OpenBenchmarking.orgLPS, More Is BetterBYTE Unix Benchmark 3.6Computational Test: Dhrystone 21237M14M21M28M35MMin: 41107542.1 / Avg: 41708570.97 / Max: 42273644.4Min: 40783284.2 / Avg: 41588834.1 / Max: 42054124.6Min: 41993096.5 / Avg: 42160536.23 / Max: 42245782.6

Crafty

This is a performance test of Crafty, an advanced open-source chess engine. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed Time1231.6M3.2M4.8M6.4M8MSE +/- 11408.93, N = 3SE +/- 12040.56, N = 3SE +/- 21141.84, N = 37527828753556075097441. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed Time1231.3M2.6M3.9M5.2M6.5MMin: 7509930 / Avg: 7527827.67 / Max: 7549034Min: 7512548 / Avg: 7535560 / Max: 7553211Min: 7479941 / Avg: 7509744.33 / Max: 75506221. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm

TSCP

This is a performance test of TSCP, Tom Kerrigan's Simple Chess Program, which has a built-in performance benchmark. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess Performance123200K400K600K800K1000KSE +/- 5188.82, N = 5SE +/- 3189.33, N = 5SE +/- 4620.96, N = 51153314116201411537771. (CC) gcc options: -O3 -march=native
OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess Performance123200K400K600K800K1000KMin: 1135624 / Avg: 1153313.6 / Max: 1166902Min: 1152255 / Avg: 1162013.6 / Max: 1169380Min: 1140327 / Avg: 1153777 / Max: 11669021. (CC) gcc options: -O3 -march=native

dcraw

This test times how long it takes to convert several high-resolution RAW NEF image files to PPM image format using dcraw. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterdcrawRAW To PPM Image Conversion1231020304050SE +/- 0.03, N = 3SE +/- 0.48, N = 3SE +/- 0.03, N = 343.8444.1443.911. (CC) gcc options: -lm
OpenBenchmarking.orgSeconds, Fewer Is BetterdcrawRAW To PPM Image Conversion123918273645Min: 43.79 / Avg: 43.84 / Max: 43.9Min: 43.56 / Avg: 44.14 / Max: 45.1Min: 43.86 / Avg: 43.91 / Max: 43.961. (CC) gcc options: -lm

DeepSpeech

Mozilla DeepSpeech is a speech-to-text engine powered by TensorFlow for machine learning and derived from Baidu's Deep Speech research paper. This test profile times the speech-to-text process for a roughly three minute audio recording. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPU12320406080100SE +/- 0.15, N = 3SE +/- 0.29, N = 3SE +/- 0.19, N = 383.7583.6283.90
OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPU1231632486480Min: 83.6 / Avg: 83.75 / Max: 84.06Min: 83.33 / Avg: 83.62 / Max: 84.19Min: 83.67 / Avg: 83.9 / Max: 84.27

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 2020-06-28123510152025SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 319.4319.3019.271. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28123510152025Min: 19.39 / Avg: 19.43 / Max: 19.46Min: 19.25 / Avg: 19.3 / Max: 19.4Min: 19.17 / Avg: 19.27 / Max: 19.431. (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: 24123306090120150SE +/- 0.43, N = 3SE +/- 0.36, N = 3SE +/- 0.43, N = 3124.07120.31123.111. (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: 123.29 / Avg: 124.07 / Max: 124.78Min: 119.7 / Avg: 120.31 / Max: 120.94Min: 122.32 / Avg: 123.11 / Max: 123.821. (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 6.0.16123100K200K300K400K500KSE +/- 1036.48, N = 3SE +/- 504.66, N = 3SE +/- 577.61, N = 3454364.10453318.18451306.141. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.1612380K160K240K320K400KMin: 452831.51 / Avg: 454364.1 / Max: 456339.22Min: 452309.21 / Avg: 453318.18 / Max: 453845.71Min: 450303.54 / Avg: 451306.14 / Max: 452304.441. (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 Benchmark1230.13120.26240.39360.52480.656SE +/- 0.002, N = 3SE +/- 0.003, N = 3SE +/- 0.000, N = 30.5790.5770.5831. (CXX) g++ options: -O3 -pthread -lrt -lpthread -lm
OpenBenchmarking.orgNs Per Day, More Is BetterGROMACS 2020.3Water Benchmark123246810Min: 0.58 / Avg: 0.58 / Max: 0.58Min: 0.57 / Avg: 0.58 / Max: 0.58Min: 0.58 / Avg: 0.58 / Max: 0.581. (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: 10012313K26K39K52K65KSE +/- 44.96, N = 3SE +/- 33.20, N = 3SE +/- 77.17, N = 36022560218601091. (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: 10012310K20K30K40K50KMin: 60165 / Avg: 60225 / Max: 60313Min: 60161 / Avg: 60218 / Max: 60276Min: 59958 / Avg: 60108.67 / Max: 602131. (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: 20012330K60K90K120K150KSE +/- 555.53, N = 3SE +/- 91.43, N = 3SE +/- 98.39, N = 31200041203831200731. (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: 118899 / Avg: 120003.67 / Max: 120659Min: 120203 / Avg: 120382.67 / Max: 120502Min: 119891 / Avg: 120072.67 / Max: 1202291. (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 +/- 375.42, N = 3SE +/- 519.43, N = 3SE +/- 539.45, N = 31456291456501457081. (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: 10012330K60K90K120K150KMin: 144878 / Avg: 145628.67 / Max: 146018Min: 144617 / Avg: 145650 / Max: 146262Min: 144640 / Avg: 145707.67 / Max: 1463761. (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 +/- 601.96, N = 3SE +/- 653.06, N = 3SE +/- 246.92, N = 32895952898592923931. (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: 288940 / Avg: 289594.67 / Max: 290797Min: 288765 / Avg: 289859.33 / Max: 291024Min: 291958 / Avg: 292392.67 / Max: 2928131. (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: CPU1230.28130.56260.84391.12521.4065SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.251.251.251. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU123246810Min: 1.25 / Avg: 1.25 / Max: 1.25Min: 1.25 / Avg: 1.25 / Max: 1.25Min: 1.25 / Avg: 1.25 / Max: 1.251. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1237001400210028003500SE +/- 2.98, N = 3SE +/- 3.12, N = 3SE +/- 1.98, N = 33191.473188.863191.651. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1236001200180024003000Min: 3187.32 / Avg: 3191.47 / Max: 3197.24Min: 3183.15 / Avg: 3188.86 / Max: 3193.91Min: 3188.87 / Avg: 3191.65 / Max: 3195.491. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1230.28130.56260.84391.12521.4065SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.251.251.251. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU123246810Min: 1.25 / Avg: 1.25 / Max: 1.25Min: 1.25 / Avg: 1.25 / Max: 1.25Min: 1.25 / Avg: 1.25 / Max: 1.251. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1237001400210028003500SE +/- 1.35, N = 3SE +/- 3.01, N = 3SE +/- 2.02, N = 33195.913188.553195.411. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1236001200180024003000Min: 3193.5 / Avg: 3195.91 / Max: 3198.18Min: 3183.11 / Avg: 3188.55 / Max: 3193.49Min: 3191.37 / Avg: 3195.41 / Max: 3197.681. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1230.180.360.540.720.9SE +/- 0.00, N = 3SE +/- 0.01, N = 15SE +/- 0.00, N = 30.800.770.791. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU123246810Min: 0.79 / Avg: 0.8 / Max: 0.8Min: 0.71 / Avg: 0.77 / Max: 0.8Min: 0.78 / Avg: 0.79 / Max: 0.791. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU12311002200330044005500SE +/- 20.39, N = 3SE +/- 66.27, N = 15SE +/- 30.11, N = 34991.025148.575018.161. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1239001800270036004500Min: 4965.27 / Avg: 4991.02 / Max: 5031.28Min: 4965.7 / Avg: 5148.57 / Max: 5601.83Min: 4987.1 / Avg: 5018.16 / Max: 5078.371. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1230.180.360.540.720.9SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.800.800.791. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU123246810Min: 0.79 / Avg: 0.8 / Max: 0.8Min: 0.79 / Avg: 0.8 / Max: 0.8Min: 0.79 / Avg: 0.79 / Max: 0.81. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU12311002200330044005500SE +/- 25.80, N = 3SE +/- 25.64, N = 3SE +/- 8.13, N = 35008.345000.564984.851. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1239001800270036004500Min: 4975.34 / Avg: 5008.34 / Max: 5059.18Min: 4969.55 / Avg: 5000.56 / Max: 5051.43Min: 4970.98 / Avg: 4984.85 / Max: 4999.151. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1236001200180024003000SE +/- 16.38, N = 3SE +/- 12.37, N = 3SE +/- 12.45, N = 32875.062868.112858.891. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1235001000150020002500Min: 2843.25 / Avg: 2875.06 / Max: 2897.73Min: 2844.08 / Avg: 2868.11 / Max: 2885.23Min: 2838.11 / Avg: 2858.89 / Max: 2881.171. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1230.31280.62560.93841.25121.564SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.381.381.391. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU123246810Min: 1.37 / Avg: 1.38 / Max: 1.39Min: 1.37 / Avg: 1.38 / Max: 1.39Min: 1.38 / Avg: 1.39 / Max: 1.41. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1236001200180024003000SE +/- 7.08, N = 3SE +/- 13.40, N = 3SE +/- 9.25, N = 32894.152874.632861.461. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1235001000150020002500Min: 2882.44 / Avg: 2894.15 / Max: 2906.91Min: 2850.91 / Avg: 2874.63 / Max: 2897.28Min: 2844.19 / Avg: 2861.46 / Max: 2875.841. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1230.31050.6210.93151.2421.5525SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 31.371.381.381. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU123246810Min: 1.36 / Avg: 1.37 / Max: 1.37Min: 1.37 / Avg: 1.38 / Max: 1.39Min: 1.38 / Avg: 1.38 / Max: 1.391. (CXX) g++ options: -fsigned-char -ffunction-sections -fdata-sections -O3 -pie -pthread -lpthread

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: FLOAT12380M160M240M320M400MSE +/- 1193917.28, N = 3SE +/- 5374121.39, N = 3SE +/- 2060306.12, N = 3354297539.78358540137.03358187781.121. (CC) gcc options: -O3 -march=native -lm
OpenBenchmarking.orgQUIPs, More Is BetterHierarchical INTegration 1.0Test: FLOAT12360M120M180M240M300MMin: 351910026.2 / Avg: 354297539.78 / Max: 355525202.27Min: 351102505.8 / Avg: 358540137.03 / Max: 368978682.81Min: 355451143.2 / Avg: 358187781.12 / Max: 362224000.691. (CC) gcc options: -O3 -march=native -lm


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