TR Okt

AMD Ryzen Threadripper 2970WX 24-Core testing with a Gigabyte X399 AORUS Gaming 7 (F12h BIOS) and Sapphire AMD Radeon RX 550 640SP / 560/560X 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 2010106-FI-TROKT951873
Jump To Table - Results

View

Do Not Show Noisy Results
Do Not Show Results With Incomplete Data
Do Not Show Results With Little Change/Spread
List Notable Results

Limit displaying results to tests within:

Chess Test Suite 3 Tests
C/C++ Compiler Tests 2 Tests
CPU Massive 2 Tests
Creator Workloads 4 Tests
HPC - High Performance Computing 5 Tests
Machine Learning 4 Tests
NVIDIA GPU Compute 2 Tests
Single-Threaded 2 Tests
Speech 3 Tests
Telephony 3 Tests

Statistics

Show Overall Harmonic Mean(s)
Show Overall Geometric Mean
Show Geometric Means Per-Suite/Category
Show Wins / Losses Counts (Pie Chart)
Normalize Results
Remove Outliers Before Calculating Averages

Graph Settings

Force Line Graphs Where Applicable
Convert To Scalar Where Applicable
Prefer Vertical Bar Graphs

Multi-Way Comparison

Condense Multi-Option Tests Into Single Result Graphs

Table

Show Detailed System Result Table

Run Management

Highlight
Result
Hide
Result
Result
Identifier
View Logs
Performance Per
Dollar
Date
Run
  Test
  Duration
1
October 10 2020
  2 Hours, 33 Minutes
2
October 10 2020
  3 Hours, 3 Minutes
3
October 10 2020
  1 Hour, 18 Minutes
Invert Hiding All Results Option
  2 Hours, 18 Minutes

Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):
Do not show results matching title/arguments (delimit multiple options with a comma):


TR OktProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution123AMD Ryzen Threadripper 2970WX 24-Core @ 3.00GHz (24 Cores / 48 Threads)Gigabyte X399 AORUS Gaming 7 (F12h BIOS)AMD 17h16GB120GB Corsair Force MP500Sapphire AMD Radeon RX 550 640SP / 560/560X 4GB (1300/1750MHz)Realtek ALC1220VA2431Qualcomm Atheros Killer E2500 + 2 x QLogic cLOM8214 1/10GbE + Intel 8265 / 8275Ubuntu 20.045.9.0-050900rc6daily20200926-generic (x86_64) 20200925GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.8 (LLVM 10.0.0)GCC 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=/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 - 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: 0x800820dGraphics Details- GLAMORPython Details- 1: Python 3.8.2- 2: Python 3.8.5- 3: 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 Suite100%102%104%106%107%DeepSpeecheSpeak-NG Speech EngineFFTEKeyDBOpenVINOVkFFTTSCPCraftyRNNoise

TR Oktvkfft: lczero: BLASlczero: Eigenlczero: Randffte: N=256, 3D Complex FFT Routinecrafty: Elapsed Timetscp: AI Chess Performancedeepspeech: CPUespeak: Text-To-Speech Synthesisrnnoise: keydb: openvino: 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 - CPU123438154854313375357624.8424179907425037110113278.7755032.94420.039345299.082.724385.792.674469.051.686904.641.676969.086980.831.706934.021.71433052854313801159592.6355052397347381111317883.3862633.68219.942341071.952.724382.042.684467.571.676911.501.676958.836964.031.706922.051.71433958663.6190488707396117110645777.6555834.31919.934348561.752.744337.342.704418.021.716775.451.686861.687142.251.666926.451.71OpenBenchmarking.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 2020-09-291239001800270036004500SE +/- 32.45, N = 3SE +/- 1.20, N = 3SE +/- 7.88, N = 3438143304339
OpenBenchmarking.orgBenchmark Score, More Is BetterVkFFT 2020-09-291238001600240032004000Min: 4336 / Avg: 4381 / Max: 4444Min: 4328 / Avg: 4329.67 / Max: 4332Min: 4330 / Avg: 4339.33 / Max: 4355

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: BLAS12120240360480600SE +/- 9.33, N = 3SE +/- 6.95, N = 95485281. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLAS12100200300400500Min: 531 / Avg: 548.33 / Max: 563Min: 499 / Avg: 528.22 / Max: 5561. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen12120240360480600SE +/- 6.74, N = 5SE +/- 4.00, N = 35435431. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen12100200300400500Min: 524 / Avg: 543.4 / Max: 559Min: 535 / Avg: 543 / Max: 5471. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Random1230K60K90K120K150KSE +/- 2044.03, N = 3SE +/- 1928.56, N = 31337531380111. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Random1220K40K60K80K100KMin: 129731 / Avg: 133752.67 / Max: 136399Min: 135629 / Avg: 138010.67 / Max: 1418291. (CXX) g++ options: -flto -pthread

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 Routine12313K26K39K52K65KSE +/- 808.18, N = 3SE +/- 579.41, N = 9SE +/- 770.51, N = 357624.8459592.6458663.621. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine12310K20K30K40K50KMin: 56162.16 / Avg: 57624.84 / Max: 58951.92Min: 55951.24 / Avg: 59592.64 / Max: 61404.02Min: 57262.91 / Avg: 58663.62 / Max: 59920.351. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

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 +/- 32338.37, N = 3SE +/- 35858.39, N = 3SE +/- 9239.68, N = 37425037734738173961171. (CC) gcc options: -pthread -lstdc++ -fprofile-use -lm
OpenBenchmarking.orgNodes Per Second, More Is BetterCrafty 25.2Elapsed Time1231.3M2.6M3.9M5.2M6.5MMin: 7367869 / Avg: 7425036.67 / Max: 7479816Min: 7305337 / Avg: 7347381 / Max: 7418719Min: 7383948 / Avg: 7396116.67 / Max: 74142451. (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 +/- 2136.71, N = 5SE +/- 3581.52, N = 5SE +/- 3012.67, N = 51101132111317811064571. (CC) gcc options: -O3 -march=native
OpenBenchmarking.orgNodes Per Second, More Is BetterTSCP 1.81AI Chess Performance123200K400K600K800K1000KMin: 1094986 / Avg: 1101132 / Max: 1108205Min: 1101556 / Avg: 1113178.2 / Max: 1124036Min: 1097167 / Avg: 1106456.6 / Max: 11149351. (CC) gcc options: -O3 -march=native

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 +/- 1.26, N = 3SE +/- 1.80, N = 15SE +/- 0.63, N = 378.7883.3977.66
OpenBenchmarking.orgSeconds, Fewer Is BetterDeepSpeech 0.6Acceleration: CPU1231632486480Min: 76.85 / Avg: 78.78 / Max: 81.15Min: 76.72 / Avg: 83.39 / Max: 94.62Min: 76.63 / Avg: 77.66 / Max: 78.8

eSpeak-NG Speech Engine

This test times how long it takes the eSpeak speech synthesizer to read Project Gutenberg's The Outline of Science and output to a WAV file. This test profile is now tracking the eSpeak-NG version of eSpeak. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis123816243240SE +/- 0.50, N = 20SE +/- 0.46, N = 20SE +/- 0.42, N = 2032.9433.6834.321. (CC) gcc options: -O2 -std=c99
OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech Synthesis123714212835Min: 30.36 / Avg: 32.94 / Max: 38.41Min: 30.36 / Avg: 33.68 / Max: 36.87Min: 31.59 / Avg: 34.32 / Max: 36.641. (CC) gcc options: -O2 -std=c99

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 +/- 0.06, N = 3SE +/- 0.19, N = 3SE +/- 0.06, N = 320.0419.9419.931. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28123510152025Min: 19.94 / Avg: 20.04 / Max: 20.16Min: 19.59 / Avg: 19.94 / Max: 20.25Min: 19.81 / Avg: 19.93 / Max: 20.031. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

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 6.0.1612370K140K210K280K350KSE +/- 3153.19, N = 3SE +/- 2917.65, N = 3SE +/- 1504.74, N = 3345299.08341071.95348561.751. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.1612360K120K180K240K300KMin: 339881.26 / Avg: 345299.08 / Max: 350803.22Min: 335251.36 / Avg: 341071.95 / Max: 344340.94Min: 345559.5 / Avg: 348561.75 / Max: 350243.341. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre

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: CPU1230.61651.2331.84952.4663.0825SE +/- 0.02, N = 11SE +/- 0.03, N = 8SE +/- 0.03, N = 72.722.722.74
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU123246810Min: 2.67 / Avg: 2.72 / Max: 2.94Min: 2.67 / Avg: 2.72 / Max: 2.91Min: 2.7 / Avg: 2.74 / Max: 2.91

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1239001800270036004500SE +/- 37.65, N = 11SE +/- 48.19, N = 8SE +/- 45.89, N = 74385.794382.044337.34
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1238001600240032004000Min: 4034.16 / Avg: 4385.79 / Max: 4461.45Min: 4058.81 / Avg: 4382.04 / Max: 4459.75Min: 4075.11 / Avg: 4337.34 / Max: 4416.11

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1230.60751.2151.82252.433.0375SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 32.672.682.70
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU123246810Min: 2.65 / Avg: 2.67 / Max: 2.69Min: 2.65 / Avg: 2.68 / Max: 2.72Min: 2.67 / Avg: 2.7 / Max: 2.74

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU12310002000300040005000SE +/- 13.74, N = 3SE +/- 30.77, N = 3SE +/- 27.59, N = 34469.054467.574418.02
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1238001600240032004000Min: 4442.2 / Avg: 4469.05 / Max: 4487.51Min: 4407.52 / Avg: 4467.57 / Max: 4509.26Min: 4363.09 / Avg: 4418.02 / Max: 4449.96

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1230.38480.76961.15441.53921.924SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.681.671.71
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU123246810Min: 1.66 / Avg: 1.68 / Max: 1.69Min: 1.66 / Avg: 1.67 / Max: 1.68Min: 1.69 / Avg: 1.71 / Max: 1.73

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU12315003000450060007500SE +/- 10.95, N = 3SE +/- 42.75, N = 3SE +/- 36.63, N = 36904.646911.506775.45
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU12312002400360048006000Min: 6883.16 / Avg: 6904.64 / Max: 6919.07Min: 6827.95 / Avg: 6911.5 / Max: 6969.01Min: 6703.15 / Avg: 6775.45 / Max: 6821.83

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1230.3780.7561.1341.5121.89SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 31.671.671.68
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU123246810Min: 1.66 / Avg: 1.67 / Max: 1.69Min: 1.64 / Avg: 1.67 / Max: 1.7Min: 1.66 / Avg: 1.68 / Max: 1.71

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU12315003000450060007500SE +/- 40.06, N = 3SE +/- 31.26, N = 3SE +/- 41.17, N = 36969.086958.836861.68
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU12312002400360048006000Min: 6891.74 / Avg: 6969.08 / Max: 7025.86Min: 6897.24 / Avg: 6958.83 / Max: 6998.92Min: 6789.02 / Avg: 6861.68 / Max: 6931.54

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU12315003000450060007500SE +/- 15.41, N = 3SE +/- 119.69, N = 3SE +/- 120.30, N = 36980.836964.037142.25
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU12312002400360048006000Min: 6950.29 / Avg: 6980.83 / Max: 6999.71Min: 6836.13 / Avg: 6964.03 / Max: 7203.22Min: 6917.86 / Avg: 7142.25 / Max: 7329.61

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1230.38250.7651.14751.531.9125SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 31.701.701.66
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU123246810Min: 1.69 / Avg: 1.7 / Max: 1.7Min: 1.65 / Avg: 1.7 / Max: 1.73Min: 1.62 / Avg: 1.66 / Max: 1.71

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU12315003000450060007500SE +/- 100.33, N = 3SE +/- 111.36, N = 3SE +/- 62.65, N = 36934.026922.056926.45
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU12312002400360048006000Min: 6741.41 / Avg: 6934.02 / Max: 7079.04Min: 6724.04 / Avg: 6922.05 / Max: 7109.34Min: 6836.49 / Avg: 6926.45 / Max: 7046.97

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1230.38480.76961.15441.53921.924SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 31.711.711.71
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU123246810Min: 1.68 / Avg: 1.71 / Max: 1.75Min: 1.67 / Avg: 1.71 / Max: 1.76Min: 1.68 / Avg: 1.71 / Max: 1.73

23 Results Shown

VkFFT
LeelaChessZero:
  BLAS
  Eigen
  Rand
FFTE
Crafty
TSCP
DeepSpeech
eSpeak-NG Speech Engine
RNNoise
KeyDB
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