Ryzen 3 3300X Oct

AMD Ryzen 3 3300X 4-Core testing with a MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS) and AMD FirePro V3800 512MB 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 2011040-FI-RYZEN333071
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:

C/C++ Compiler Tests 4 Tests
CPU Massive 2 Tests
Creator Workloads 4 Tests
Encoding 2 Tests
Fortran Tests 2 Tests
HPC - High Performance Computing 4 Tests
Machine Learning 2 Tests
Multi-Core 4 Tests
Scientific Computing 2 Tests
Video Encoding 2 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
Perf-Per
Dollar
Date
Triggered
  Test
  Duration
1
November 03 2020
  3 Hours, 38 Minutes
2
November 03 2020
  3 Hours, 36 Minutes
3
November 03 2020
  3 Hours, 40 Minutes
Invert Hiding All Results Option
  3 Hours, 38 Minutes
Only show results where is faster than
Only show results matching title/arguments (delimit multiple options with a comma):


Ryzen 3 3300X OctProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution123AMD Ryzen 3 3300X 4-Core @ 3.80GHz (4 Cores / 8 Threads)MSI B350M GAMING PRO (MS-7A39) v1.0 (2.NR BIOS)AMD Starship/Matisse8GB256GB INTEL SSDPEKKW256G7AMD FirePro V3800 512MBAMD Redwood HDMI AudioVA2431Realtek RTL8111/8168/8411Ubuntu 20.045.9.0-rc5-14sep-patch (x86_64) 20200914GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.83.3 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%100%101%101%LAMMPS Molecular Dynamics SimulatorFFTERNNoiseSunflow Rendering Systemx265KeyDBOpenVINOKvazaar

Ryzen 3 3300X Octffte: 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 Synthesis12326038.0634608983.2323.1323.033.0713.2113.558.4915.5234.4762.208.1437.2518.569623468.231.263140.551.253204.990.884539.430.864579.663984.600.993964.0111.80226338.8931685423.2553.2023.033.0813.2613.568.5015.5734.5862.178.0536.9618.784628642.081.273153.251.253144.150.884537.060.874560.713983.671.003978.550.991.80726482.1590568473.2423.0953.033.0713.1913.538.4815.5134.5562.178.1337.4618.529630483.451.273125.611.263202.790.874536.700.874561.884005.010.993983.141.001.783OpenBenchmarking.org

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 Routine1236K12K18K24K30KSE +/- 170.81, N = 3SE +/- 145.91, N = 3SE +/- 17.42, N = 326038.0626338.8926482.161. (F9X) gfortran options: -O3 -fomit-frame-pointer -fopenmp
OpenBenchmarking.orgMFLOPS, More Is BetterFFTE 7.0N=256, 3D Complex FFT Routine1235K10K15K20K25KMin: 25699.35 / Avg: 26038.06 / Max: 26245.89Min: 26048.63 / Avg: 26338.89 / Max: 26510.08Min: 26447.31 / Avg: 26482.16 / Max: 26499.671. (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 Atoms1230.73241.46482.19722.92963.662SE +/- 0.004, N = 3SE +/- 0.021, N = 3SE +/- 0.004, N = 33.2323.2553.2421. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atoms123246810Min: 3.23 / Avg: 3.23 / Max: 3.24Min: 3.21 / Avg: 3.25 / Max: 3.28Min: 3.24 / Avg: 3.24 / Max: 3.251. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein1230.72051.4412.16152.8823.6025SE +/- 0.030, N = 15SE +/- 0.033, N = 3SE +/- 0.031, N = 153.1323.2023.0951. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein123246810Min: 2.98 / Avg: 3.13 / Max: 3.38Min: 3.14 / Avg: 3.2 / Max: 3.25Min: 2.86 / Avg: 3.1 / Max: 3.271. (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: Slow1230.68181.36362.04542.72723.409SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 33.033.033.031. (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: 3.02 / Avg: 3.03 / Max: 3.04Min: 3.02 / Avg: 3.03 / Max: 3.04Min: 3.02 / Avg: 3.03 / Max: 3.041. (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: Medium1230.6931.3862.0792.7723.465SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 33.073.083.071. (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: 3.07 / Avg: 3.07 / Max: 3.07Min: 3.08 / Avg: 3.08 / Max: 3.08Min: 3.07 / Avg: 3.07 / Max: 3.081. (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: Slow1233691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 313.2113.2613.191. (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: Slow12348121620Min: 13.2 / Avg: 13.21 / Max: 13.23Min: 13.23 / Avg: 13.26 / Max: 13.28Min: 13.18 / Avg: 13.19 / Max: 13.21. (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: Medium1233691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 313.5513.5613.531. (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: Medium12348121620Min: 13.51 / Avg: 13.55 / Max: 13.59Min: 13.52 / Avg: 13.56 / Max: 13.6Min: 13.5 / Avg: 13.53 / Max: 13.551. (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 Fast123246810SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 38.498.508.481. (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 Fast1233691215Min: 8.46 / Avg: 8.49 / Max: 8.52Min: 8.46 / Avg: 8.5 / Max: 8.53Min: 8.44 / Avg: 8.48 / Max: 8.511. (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 Fast12348121620SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 315.5215.5715.511. (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 Fast12348121620Min: 15.47 / Avg: 15.52 / Max: 15.6Min: 15.53 / Avg: 15.57 / Max: 15.62Min: 15.49 / Avg: 15.51 / Max: 15.561. (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 Fast123816243240SE +/- 0.18, N = 3SE +/- 0.12, N = 3SE +/- 0.06, N = 334.4734.5834.551. (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 Fast123714212835Min: 34.11 / Avg: 34.47 / Max: 34.68Min: 34.35 / Avg: 34.58 / Max: 34.74Min: 34.44 / Avg: 34.55 / Max: 34.621. (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 Fast1231428425670SE +/- 0.03, N = 3SE +/- 0.13, N = 3SE +/- 0.02, N = 362.2062.1762.171. (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 Fast1231224364860Min: 62.14 / Avg: 62.2 / Max: 62.23Min: 62 / Avg: 62.17 / Max: 62.42Min: 62.13 / Avg: 62.17 / Max: 62.191. (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 4K123246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 38.148.058.131. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4K1233691215Min: 8.09 / Avg: 8.14 / Max: 8.16Min: 8.03 / Avg: 8.05 / Max: 8.07Min: 8.08 / Avg: 8.13 / Max: 8.211. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080p123918273645SE +/- 0.31, N = 3SE +/- 0.09, N = 3SE +/- 0.51, N = 337.2536.9637.461. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080p123816243240Min: 36.85 / Avg: 37.25 / Max: 37.86Min: 36.83 / Avg: 36.96 / Max: 37.14Min: 36.67 / Avg: 37.46 / Max: 38.411. (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 +/- 0.06, N = 3SE +/- 0.18, N = 3SE +/- 0.05, N = 318.5718.7818.531. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28123510152025Min: 18.49 / Avg: 18.57 / Max: 18.68Min: 18.55 / Avg: 18.78 / Max: 19.15Min: 18.45 / Avg: 18.53 / Max: 18.611. (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 +/- 3622.31, N = 3SE +/- 2372.72, N = 3SE +/- 3420.97, N = 3623468.23628642.08630483.451. (CXX) g++ options: -O2 -levent_openssl -levent -lcrypto -lssl -lpthread -lz -lpcre
OpenBenchmarking.orgOps/sec, More Is BetterKeyDB 6.0.16123110K220K330K440K550KMin: 616488.75 / Avg: 623468.23 / Max: 628639.8Min: 624659.65 / Avg: 628642.08 / Max: 632868.14Min: 624289.72 / Avg: 630483.45 / Max: 636097.751. (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: CPU1230.28580.57160.85741.14321.429SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 31.261.271.27
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU123246810Min: 1.25 / Avg: 1.26 / Max: 1.29Min: 1.25 / Avg: 1.27 / Max: 1.28Min: 1.25 / Avg: 1.27 / Max: 1.28

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1237001400210028003500SE +/- 39.96, N = 3SE +/- 10.31, N = 3SE +/- 6.31, N = 33140.553153.253125.61
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1235001000150020002500Min: 3060.65 / Avg: 3140.55 / Max: 3182.25Min: 3132.65 / Avg: 3153.25 / Max: 3164.48Min: 3113.19 / Avg: 3125.61 / Max: 3133.76

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1230.28350.5670.85051.1341.4175SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.251.251.26
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU123246810Min: 1.24 / Avg: 1.25 / Max: 1.26Min: 1.25 / Avg: 1.25 / Max: 1.25Min: 1.25 / Avg: 1.26 / Max: 1.26

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1237001400210028003500SE +/- 9.22, N = 3SE +/- 17.39, N = 3SE +/- 5.26, N = 33204.993144.153202.79
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1236001200180024003000Min: 3186.56 / Avg: 3204.99 / Max: 3214.65Min: 3123.83 / Avg: 3144.15 / Max: 3178.76Min: 3192.7 / Avg: 3202.79 / Max: 3210.42

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1230.1980.3960.5940.7920.99SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.880.880.87
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU123246810Min: 0.87 / Avg: 0.88 / Max: 0.88Min: 0.87 / Avg: 0.88 / Max: 0.88Min: 0.87 / Avg: 0.87 / Max: 0.88

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU12310002000300040005000SE +/- 3.77, N = 3SE +/- 8.71, N = 3SE +/- 8.34, N = 34539.434537.064536.70
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1238001600240032004000Min: 4531.93 / Avg: 4539.43 / Max: 4543.79Min: 4523 / Avg: 4537.06 / Max: 4553.01Min: 4520.25 / Avg: 4536.7 / Max: 4547.32

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1230.19580.39160.58740.78320.979SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.860.870.87
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU123246810Min: 0.86 / Avg: 0.86 / Max: 0.87Min: 0.87 / Avg: 0.87 / Max: 0.87Min: 0.87 / Avg: 0.87 / Max: 0.87

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU12310002000300040005000SE +/- 11.29, N = 3SE +/- 20.70, N = 3SE +/- 6.59, N = 34579.664560.714561.88
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1238001600240032004000Min: 4557.18 / Avg: 4579.66 / Max: 4592.78Min: 4526.15 / Avg: 4560.71 / Max: 4597.72Min: 4554.1 / Avg: 4561.88 / Max: 4574.98

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1239001800270036004500SE +/- 19.38, N = 3SE +/- 15.87, N = 3SE +/- 12.66, N = 33984.603983.674005.01
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1237001400210028003500Min: 3945.91 / Avg: 3984.6 / Max: 4006.13Min: 3963.31 / Avg: 3983.67 / Max: 4014.94Min: 3980.73 / Avg: 4005.01 / Max: 4023.38

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1230.2250.450.6750.91.125SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.991.000.99
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU123246810Min: 0.99 / Avg: 0.99 / Max: 1Min: 0.99 / Avg: 1 / Max: 1Min: 0.99 / Avg: 0.99 / Max: 1

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1239001800270036004500SE +/- 10.87, N = 3SE +/- 12.88, N = 3SE +/- 8.63, N = 33964.013978.553983.14
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1237001400210028003500Min: 3950.51 / Avg: 3964.01 / Max: 3985.52Min: 3953.71 / Avg: 3978.55 / Max: 3996.91Min: 3971.65 / Avg: 3983.14 / Max: 4000.03

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1230.2250.450.6750.91.125SE +/- 0.00, N = 3SE +/- 0.00, N = 31.000.991.00
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU123246810Min: 0.99 / Avg: 0.99 / Max: 1Min: 0.99 / Avg: 1 / Max: 1

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 Synthesis1230.40660.81321.21981.62642.033SE +/- 0.020, N = 7SE +/- 0.020, N = 6SE +/- 0.018, N = 151.8021.8071.783MIN: 1.63 / MAX: 2.59MIN: 1.61 / MAX: 2.51MIN: 1.53 / MAX: 2.65
OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image Synthesis123246810Min: 1.75 / Avg: 1.8 / Max: 1.91Min: 1.74 / Avg: 1.81 / Max: 1.86Min: 1.64 / Avg: 1.78 / Max: 1.89


OpenBenchmarking.org Community User Comments

Post A Comment