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Ryzen 7 3700X Oct

AMD Ryzen 7 3700X 8-Core testing with a Gigabyte A320M-S2H-CF (F52a BIOS) and HIS AMD Radeon HD 7750/8740 / R7 250E 1GB 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 2011041-FI-RYZEN737023
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Ryzen 7 3700X OctProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution123AMD Ryzen 7 3700X 8-Core @ 3.60GHz (8 Cores / 16 Threads)Gigabyte A320M-S2H-CF (F52a BIOS)AMD Starship/Matisse8GB240GB TOSHIBA RC100HIS AMD Radeon HD 7750/8740 / R7 250E 1GBAMD Oland/Hainan/CapeDELL S2409WRealtek RTL8111/8168/8411Ubuntu 20.045.8.1-050801-generic (x86_64)GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.5 Mesa 20.0.8 (LLVM 10.0.0)GCC 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: 0x8701021Java 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 Suite 10.2.0100%101%102%102%103%Sunflow Rendering Systemx265LeelaChessZeroFFTEKeyDBLAMMPS Molecular Dynamics SimulatorOpenVINOKvazaarRNNoise

Ryzen 7 3700X Octlczero: BLASlczero: Eigenlczero: Randffte: N=256, 3D Complex FFT Routinelammps: 20k Atomslammps: Rhodopsin Proteinkvazaar: Bosphorus 4K - Slowkvazaar: Bosphorus 4K - Mediumkvazaar: Bosphorus 1080p - Slowkvazaar: Bosphorus 1080p - Mediumkvazaar: Bosphorus 4K - Very Fastkvazaar: Bosphorus 4K - Ultra Fastkvazaar: Bosphorus 1080p - Very Fastkvazaar: Bosphorus 1080p - Ultra Fastx265: Bosphorus 4Kx265: Bosphorus 1080prnnoise: 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 - CPUsunflow: Global Illumination + Image Synthesis12363961622389536367.3385814995.9955.9105.525.5823.8024.3915.5727.5656.20104.6311.7050.1018.720636715.891.892115.641.872129.071.522614.341.492629.936696.380.596655.600.591.14565864722451336839.5858932065.9885.8595.525.5723.8124.3715.5627.5356.35104.8011.3650.1118.749630789.631.882122.201.892108.471.532596.301.532599.116700.240.596719.200.591.18365564022328437094.6571564906.0425.8855.445.5223.5724.2115.5527.4956.35104.9912.0450.3018.719630052.091.892117.941.882123.691.522609.101.522598.586674.800.596687.300.591.175OpenBenchmarking.org

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: BLAS123140280420560700SE +/- 3.71, N = 3SE +/- 6.69, N = 3SE +/- 6.39, N = 36396586551. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: BLAS123120240360480600Min: 634 / Avg: 638.67 / Max: 646Min: 650 / Avg: 657.67 / Max: 671Min: 643 / Avg: 654.67 / Max: 6651. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen123140280420560700SE +/- 10.41, N = 3SE +/- 7.69, N = 3SE +/- 1.86, N = 36166476401. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Eigen123110220330440550Min: 601 / Avg: 616 / Max: 636Min: 638 / Avg: 646.67 / Max: 662Min: 638 / Avg: 640.33 / Max: 6441. (CXX) g++ options: -flto -pthread

OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Random12350K100K150K200K250KSE +/- 163.36, N = 3SE +/- 281.88, N = 3SE +/- 294.45, N = 32238952245132232841. (CXX) g++ options: -flto -pthread
OpenBenchmarking.orgNodes Per Second, More Is BetterLeelaChessZero 0.26Backend: Random12340K80K120K160K200KMin: 223622 / Avg: 223895.33 / Max: 224187Min: 223952 / Avg: 224512.67 / Max: 224844Min: 222772 / Avg: 223283.67 / Max: 2237921. (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 Routine1238K16K24K32K40KSE +/- 22.97, N = 3SE +/- 31.22, N = 3SE +/- 13.16, N = 336367.3436839.5937094.661. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1236K12K18K24K30KMin: 36332.91 / Avg: 36367.34 / Max: 36410.9Min: 36805.59 / Avg: 36839.59 / Max: 36901.94Min: 37078.68 / Avg: 37094.66 / Max: 37120.761. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp

LAMMPS Molecular Dynamics Simulator

LAMMPS is a classical molecular dynamics code, and an acronym for Large-scale Atomic/Molecular Massively Parallel Simulator. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atoms123246810SE +/- 0.028, N = 3SE +/- 0.019, N = 3SE +/- 0.025, N = 35.9955.9886.0421. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atoms123246810Min: 5.96 / Avg: 5.99 / Max: 6.05Min: 5.95 / Avg: 5.99 / Max: 6.02Min: 6 / Avg: 6.04 / Max: 6.081. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein1231.32982.65963.98945.31926.649SE +/- 0.058, N = 15SE +/- 0.095, N = 15SE +/- 0.060, N = 35.9105.8595.8851. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein123246810Min: 5.53 / Avg: 5.91 / Max: 6.27Min: 5.2 / Avg: 5.86 / Max: 6.32Min: 5.79 / Avg: 5.89 / Max: 5.991. (CXX) g++ options: -O3 -pthread -lm

Kvazaar

This is a test of Kvazaar as a CPU-based H.265 video encoder written in the C programming language and optimized in Assembly. Kvazaar is the winner of the 2016 ACM Open-Source Software Competition and developed at the Ultra Video Group, Tampere University, Finland. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Slow1231.2422.4843.7264.9686.21SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 35.525.525.441. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Slow123246810Min: 5.48 / Avg: 5.52 / Max: 5.56Min: 5.49 / Avg: 5.52 / Max: 5.56Min: 5.42 / Avg: 5.44 / Max: 5.471. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Medium1231.25552.5113.76655.0226.2775SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 35.585.575.521. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Medium123246810Min: 5.57 / Avg: 5.58 / Max: 5.59Min: 5.56 / Avg: 5.57 / Max: 5.58Min: 5.52 / Avg: 5.52 / Max: 5.531. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Slow123612182430SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 323.8023.8123.571. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Slow123612182430Min: 23.77 / Avg: 23.8 / Max: 23.83Min: 23.78 / Avg: 23.81 / Max: 23.85Min: 23.52 / Avg: 23.57 / Max: 23.631. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Medium123612182430SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.01, N = 324.3924.3724.211. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Medium123612182430Min: 24.31 / Avg: 24.39 / Max: 24.49Min: 24.28 / Avg: 24.37 / Max: 24.43Min: 24.18 / Avg: 24.21 / Max: 24.221. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very Fast12348121620SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.04, N = 315.5715.5615.551. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Very Fast12348121620Min: 15.53 / Avg: 15.57 / Max: 15.61Min: 15.52 / Avg: 15.56 / Max: 15.61Min: 15.48 / Avg: 15.55 / Max: 15.61. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra Fast123612182430SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 327.5627.5327.491. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 4K - Video Preset: Ultra Fast123612182430Min: 27.48 / Avg: 27.56 / Max: 27.66Min: 27.47 / Avg: 27.53 / Max: 27.58Min: 27.45 / Avg: 27.49 / Max: 27.541. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very Fast1231326395265SE +/- 0.11, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 356.2056.3556.351. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Very Fast1231122334455Min: 56.04 / Avg: 56.2 / Max: 56.42Min: 56.28 / Avg: 56.35 / Max: 56.43Min: 56.17 / Avg: 56.35 / Max: 56.581. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra Fast12320406080100SE +/- 0.11, N = 3SE +/- 0.08, N = 3SE +/- 0.12, N = 3104.63104.80104.991. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt
OpenBenchmarking.orgFrames Per Second, More Is BetterKvazaar 2.0Video Input: Bosphorus 1080p - Video Preset: Ultra Fast12320406080100Min: 104.41 / Avg: 104.63 / Max: 104.75Min: 104.68 / Avg: 104.8 / Max: 104.96Min: 104.83 / Avg: 104.99 / Max: 105.221. (CC) gcc options: -pthread -ftree-vectorize -fvisibility=hidden -O2 -lpthread -lm -lrt

x265

This is a simple test of the x265 encoder run on the CPU with 1080p and 4K options for H.265 video encode performance with x265. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4K1233691215SE +/- 0.13, N = 6SE +/- 0.14, N = 3SE +/- 0.14, N = 311.7011.3612.041. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4K12348121620Min: 11.35 / Avg: 11.7 / Max: 12.23Min: 11.21 / Avg: 11.36 / Max: 11.64Min: 11.8 / Avg: 12.04 / Max: 12.291. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080p1231122334455SE +/- 0.30, N = 3SE +/- 0.24, N = 3SE +/- 0.12, N = 350.1050.1150.301. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080p1231020304050Min: 49.64 / Avg: 50.1 / Max: 50.65Min: 49.76 / Avg: 50.11 / Max: 50.58Min: 50.15 / Avg: 50.3 / Max: 50.541. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

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 +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 318.7218.7518.721. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28123510152025Min: 18.66 / Avg: 18.72 / Max: 18.75Min: 18.69 / Avg: 18.75 / Max: 18.85Min: 18.65 / Avg: 18.72 / Max: 18.781. (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 6.0.16123140K280K420K560K700KSE +/- 5625.10, N = 3SE +/- 2626.37, N = 3SE +/- 1151.65, N = 3636715.89630789.63630052.091. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16123110K220K330K440K550KMin: 627638.9 / Avg: 636715.89 / Max: 647010.39Min: 625782.2 / Avg: 630789.63 / Max: 634667.27Min: 628392.53 / Avg: 630052.09 / Max: 632265.091. (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: CPU1230.42530.85061.27591.70122.1265SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.891.881.89
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU123246810Min: 1.87 / Avg: 1.89 / Max: 1.9Min: 1.88 / Avg: 1.88 / Max: 1.89Min: 1.88 / Avg: 1.89 / Max: 1.89

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1235001000150020002500SE +/- 7.61, N = 3SE +/- 4.48, N = 3SE +/- 2.35, N = 32115.642122.202117.94
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU123400800120016002000Min: 2107.14 / Avg: 2115.64 / Max: 2130.83Min: 2116.24 / Avg: 2122.2 / Max: 2130.97Min: 2114.47 / Avg: 2117.94 / Max: 2122.42

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1230.42530.85061.27591.70122.1265SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.871.891.88
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU123246810Min: 1.86 / Avg: 1.87 / Max: 1.89Min: 1.88 / Avg: 1.89 / Max: 1.9Min: 1.87 / Avg: 1.88 / Max: 1.89

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1235001000150020002500SE +/- 7.45, N = 3SE +/- 5.82, N = 3SE +/- 6.54, N = 32129.072108.472123.69
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU123400800120016002000Min: 2114.18 / Avg: 2129.07 / Max: 2137.12Min: 2096.97 / Avg: 2108.47 / Max: 2115.76Min: 2110.71 / Avg: 2123.69 / Max: 2131.53

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1230.34430.68861.03291.37721.7215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 31.521.531.52
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU123246810Min: 1.51 / Avg: 1.52 / Max: 1.52Min: 1.52 / Avg: 1.53 / Max: 1.53Min: 1.51 / Avg: 1.52 / Max: 1.53

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1236001200180024003000SE +/- 10.74, N = 3SE +/- 4.37, N = 3SE +/- 21.04, N = 32614.342596.302609.10
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1235001000150020002500Min: 2594.28 / Avg: 2614.34 / Max: 2631.03Min: 2588.27 / Avg: 2596.3 / Max: 2603.3Min: 2587.78 / Avg: 2609.1 / Max: 2651.17

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1230.34430.68861.03291.37721.7215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.491.531.52
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU123246810Min: 1.48 / Avg: 1.49 / Max: 1.49Min: 1.52 / Avg: 1.53 / Max: 1.53Min: 1.52 / Avg: 1.52 / Max: 1.53

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1236001200180024003000SE +/- 20.76, N = 3SE +/- 4.37, N = 3SE +/- 7.06, N = 32629.932599.112598.58
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1235001000150020002500Min: 2608.24 / Avg: 2629.93 / Max: 2671.44Min: 2591.81 / Avg: 2599.11 / Max: 2606.92Min: 2591.17 / Avg: 2598.58 / Max: 2612.7

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU12314002800420056007000SE +/- 8.57, N = 3SE +/- 18.85, N = 3SE +/- 13.93, N = 36696.386700.246674.80
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU12312002400360048006000Min: 6684.45 / Avg: 6696.38 / Max: 6713Min: 6667.53 / Avg: 6700.24 / Max: 6732.83Min: 6650.54 / Avg: 6674.8 / Max: 6698.8

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1230.13280.26560.39840.53120.664SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.590.590.59
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU123246810Min: 0.59 / Avg: 0.59 / Max: 0.59Min: 0.58 / Avg: 0.59 / Max: 0.59Min: 0.59 / Avg: 0.59 / Max: 0.59

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU12314002800420056007000SE +/- 3.83, N = 3SE +/- 10.49, N = 3SE +/- 29.75, N = 36655.606719.206687.30
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU12312002400360048006000Min: 6649.05 / Avg: 6655.6 / Max: 6662.33Min: 6706.41 / Avg: 6719.2 / Max: 6740.01Min: 6647.33 / Avg: 6687.3 / Max: 6745.45

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1230.13280.26560.39840.53120.664SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.590.590.59
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU123246810Min: 0.59 / Avg: 0.59 / Max: 0.59Min: 0.58 / Avg: 0.59 / Max: 0.59Min: 0.58 / Avg: 0.59 / Max: 0.59

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 Synthesis1230.26620.53240.79861.06481.331SE +/- 0.008, N = 3SE +/- 0.019, N = 15SE +/- 0.020, N = 151.1451.1831.175MIN: 0.98 / MAX: 1.68MIN: 0.97 / MAX: 1.95MIN: 0.99 / MAX: 1.96
OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image Synthesis123246810Min: 1.13 / Avg: 1.14 / Max: 1.15Min: 1.08 / Avg: 1.18 / Max: 1.31Min: 1.08 / Avg: 1.18 / Max: 1.31


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