Core i3 8100 Nov

Intel Core i3-8100 testing with a ASRock Z370M-ITX/ac (P4.10 BIOS) and Intel 8th Gen Core Gaussian Mixture Model 3GB 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 2011028-FI-COREI381042
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Core i3 8100 NovProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123Intel Core i3-8100 @ 3.60GHz (4 Cores)ASRock Z370M-ITX/ac (P4.10 BIOS)Intel 8th Gen Core 4-core Desktop8GB60GB DREVO X1 SSDIntel 8th Gen Core Gaussian Mixture Model 3GB (1100MHz)Realtek ALC892VA2431Intel I219-V + Intel I211 + Intel Dual Band-AC 3168NGWUbuntu 20.045.9.0-050900rc1daily20200819-generic (x86_64) 20200818GNOME Shell 3.36.4X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.81.2.131GCC 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: intel_pstate powersave - CPU Microcode: 0xd6 - Thermald 1.9.1 Java Details- OpenJDK Runtime Environment (build 11.0.8+10-post-Ubuntu-0ubuntu120.04)Python Details- Python 3.8.2Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT disabled + mds: Mitigation of Clear buffers; SMT disabled + meltdown: Mitigation of PTI + 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 generic retpoline IBPB: conditional IBRS_FW STIBP: disabled RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

123Result OverviewPhoronix Test Suite 10.2.0100%100%100%101%101%Sunflow Rendering SystemLAMMPS Molecular Dynamics SimulatorWaifu2x-NCNN VulkanOpenVINOx265RNNoiseKvazaar

Core i3 8100 Novwaifu2x-ncnn: 2x - 3 - Nowaifu2x-ncnn: 2x - 3 - Yeslammps: 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: 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 Synthesis12313.968103.4462.8692.8181.81.857.978.215.038.9420.7236.586.6328.8530.4231.163430.401.163425.940.75642.300.715646.632540.471.462548.511.462.88813.881103.3632.8802.8171.81.857.988.225.038.9620.7236.596.6528.7930.4101.173413.441.153424.660.705645.730.715633.582537.781.462546.451.462.86713.941103.4042.8442.8161.81.857.968.215.039.0120.6836.496.6928.7530.4481.163431.641.153428.430.705646.890.75661.762533.561.462539.221.462.865OpenBenchmarking.org

Waifu2x-NCNN Vulkan

Waifu2x-NCNN is an NCNN neural network implementation of the Waifu2x converter project and accelerated using the Vulkan API. NCNN is a high performance neural network inference framework optimized for mobile and other platforms developed by Tencent. This test profile times how long it takes to increase the resolution of a sample image with Vulkan. Learn more via the OpenBenchmarking.org test page.

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: No12348121620SE +/- 0.13, N = 3SE +/- 0.04, N = 3SE +/- 0.05, N = 313.9713.8813.94
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: No12348121620Min: 13.82 / Avg: 13.97 / Max: 14.23Min: 13.83 / Avg: 13.88 / Max: 13.95Min: 13.85 / Avg: 13.94 / Max: 14.01

OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: Yes12320406080100SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3103.45103.36103.40
OpenBenchmarking.orgSeconds, Fewer Is BetterWaifu2x-NCNN Vulkan 20200818Scale: 2x - Denoise: 3 - TAA: Yes12320406080100Min: 103.42 / Avg: 103.45 / Max: 103.48Min: 103.26 / Avg: 103.36 / Max: 103.43Min: 103.37 / Avg: 103.4 / Max: 103.44

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 Atoms1230.6481.2961.9442.5923.24SE +/- 0.007, N = 3SE +/- 0.002, N = 3SE +/- 0.030, N = 72.8692.8802.8441. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: 20k Atoms123246810Min: 2.86 / Avg: 2.87 / Max: 2.88Min: 2.88 / Avg: 2.88 / Max: 2.88Min: 2.66 / Avg: 2.84 / Max: 2.91. (CXX) g++ options: -O3 -pthread -lm

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein1230.63411.26821.90232.53643.1705SE +/- 0.001, N = 3SE +/- 0.007, N = 3SE +/- 0.007, N = 32.8182.8172.8161. (CXX) g++ options: -O3 -pthread -lm
OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 29Oct2020Model: Rhodopsin Protein123246810Min: 2.82 / Avg: 2.82 / Max: 2.82Min: 2.81 / Avg: 2.82 / Max: 2.83Min: 2.81 / Avg: 2.82 / Max: 2.831. (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: Slow1230.4050.811.2151.622.025SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.81.81.81. (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: 1.8 / Avg: 1.8 / Max: 1.8Min: 1.8 / Avg: 1.8 / Max: 1.8Min: 1.8 / Avg: 1.8 / Max: 1.81. (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: Medium1230.41630.83261.24891.66522.0815SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.851.851.851. (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: 1.85 / Avg: 1.85 / Max: 1.85Min: 1.85 / Avg: 1.85 / Max: 1.85Min: 1.85 / Avg: 1.85 / Max: 1.851. (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: Slow123246810SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 37.977.987.961. (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: Slow1233691215Min: 7.95 / Avg: 7.97 / Max: 7.98Min: 7.96 / Avg: 7.98 / Max: 8Min: 7.96 / Avg: 7.96 / Max: 7.971. (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: Medium123246810SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 38.218.228.211. (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: Medium1233691215Min: 8.19 / Avg: 8.21 / Max: 8.22Min: 8.21 / Avg: 8.22 / Max: 8.22Min: 8.21 / Avg: 8.21 / Max: 8.211. (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 Fast1231.13182.26363.39544.52725.659SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 35.035.035.031. (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: Very Fast123246810Min: 5.02 / Avg: 5.03 / Max: 5.03Min: 5.01 / Avg: 5.03 / Max: 5.04Min: 5.02 / Avg: 5.03 / Max: 5.031. (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: Ultra Fast1233691215SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 38.948.969.011. (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 Fast1233691215Min: 8.93 / Avg: 8.94 / Max: 8.96Min: 8.93 / Avg: 8.96 / Max: 8.99Min: 8.98 / Avg: 9.01 / Max: 9.051. (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 Fast123510152025SE +/- 0.05, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 320.7220.7220.681. (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 Fast123510152025Min: 20.63 / Avg: 20.72 / Max: 20.78Min: 20.6 / Avg: 20.72 / Max: 20.79Min: 20.59 / Avg: 20.68 / Max: 20.721. (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 Fast123816243240SE +/- 0.01, N = 3SE +/- 0.07, N = 3SE +/- 0.03, N = 336.5836.5936.491. (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 Fast123816243240Min: 36.57 / Avg: 36.58 / Max: 36.61Min: 36.46 / Avg: 36.59 / Max: 36.68Min: 36.43 / Avg: 36.49 / Max: 36.521. (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 +/- 0.04, N = 3SE +/- 0.03, N = 36.636.656.691. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 4K1233691215Min: 6.6 / Avg: 6.63 / Max: 6.66Min: 6.58 / Avg: 6.65 / Max: 6.72Min: 6.63 / Avg: 6.69 / Max: 6.741. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma

OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080p123714212835SE +/- 0.10, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 328.8528.7928.751. (CXX) g++ options: -O3 -rdynamic -lpthread -lrt -ldl -lnuma
OpenBenchmarking.orgFrames Per Second, More Is Betterx265 3.4Video Input: Bosphorus 1080p123612182430Min: 28.64 / Avg: 28.85 / Max: 28.96Min: 28.71 / Avg: 28.79 / Max: 28.86Min: 28.51 / Avg: 28.75 / Max: 28.891. (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 2020-06-28123714212835SE +/- 0.25, N = 3SE +/- 0.27, N = 3SE +/- 0.23, N = 330.4230.4130.451. (CC) gcc options: -O2 -pedantic -fvisibility=hidden
OpenBenchmarking.orgSeconds, Fewer Is BetterRNNoise 2020-06-28123714212835Min: 29.92 / Avg: 30.42 / Max: 30.68Min: 29.87 / Avg: 30.41 / Max: 30.69Min: 29.98 / Avg: 30.45 / Max: 30.681. (CC) gcc options: -O2 -pedantic -fvisibility=hidden

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: CPU1230.26330.52660.78991.05321.3165SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.161.171.16
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU123246810Min: 1.16 / Avg: 1.16 / Max: 1.16Min: 1.16 / Avg: 1.17 / Max: 1.17Min: 1.16 / Avg: 1.16 / Max: 1.16

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1237001400210028003500SE +/- 0.39, N = 3SE +/- 5.04, N = 3SE +/- 4.18, N = 33430.403413.443431.64
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP16 - Device: CPU1236001200180024003000Min: 3429.94 / Avg: 3430.4 / Max: 3431.18Min: 3407.67 / Avg: 3413.44 / Max: 3423.49Min: 3423.47 / Avg: 3431.64 / Max: 3437.3

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1230.2610.5220.7831.0441.305SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.161.151.15
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU123246810Min: 1.15 / Avg: 1.16 / Max: 1.16Min: 1.15 / Avg: 1.15 / Max: 1.15Min: 1.15 / Avg: 1.15 / Max: 1.16

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1237001400210028003500SE +/- 3.23, N = 3SE +/- 5.28, N = 3SE +/- 4.96, N = 33425.943424.663428.43
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Face Detection 0106 FP32 - Device: CPU1236001200180024003000Min: 3419.49 / Avg: 3425.94 / Max: 3429.18Min: 3414.51 / Avg: 3424.66 / Max: 3432.27Min: 3419.94 / Avg: 3428.43 / Max: 3437.13

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU1230.15750.3150.47250.630.7875SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.700.700.70
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU123246810Min: 0.7 / Avg: 0.7 / Max: 0.7Min: 0.7 / Avg: 0.7 / Max: 0.71Min: 0.7 / Avg: 0.7 / Max: 0.71

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU12312002400360048006000SE +/- 1.32, N = 3SE +/- 1.59, N = 3SE +/- 4.64, N = 35642.305645.735646.89
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP16 - Device: CPU12310002000300040005000Min: 5640.1 / Avg: 5642.3 / Max: 5644.66Min: 5644.12 / Avg: 5645.73 / Max: 5648.92Min: 5638.23 / Avg: 5646.89 / Max: 5654.1

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU1230.15980.31960.47940.63920.799SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.710.710.70
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU123246810Min: 0.7 / Avg: 0.71 / Max: 0.71Min: 0.7 / Avg: 0.71 / Max: 0.71Min: 0.7 / Avg: 0.7 / Max: 0.7

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU12312002400360048006000SE +/- 4.55, N = 3SE +/- 8.28, N = 3SE +/- 6.75, N = 35646.635633.585661.76
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Person Detection 0106 FP32 - Device: CPU12310002000300040005000Min: 5639.34 / Avg: 5646.63 / Max: 5654.98Min: 5623.23 / Avg: 5633.58 / Max: 5649.96Min: 5648.32 / Avg: 5661.76 / Max: 5669.58

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1235001000150020002500SE +/- 1.30, N = 3SE +/- 3.01, N = 3SE +/- 5.13, N = 32540.472537.782533.56
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU123400800120016002000Min: 2538.14 / Avg: 2540.47 / Max: 2542.64Min: 2532.74 / Avg: 2537.78 / Max: 2543.15Min: 2526.51 / Avg: 2533.56 / Max: 2543.54

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU1230.32850.6570.98551.3141.6425SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.461.461.46
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP16 - Device: CPU123246810Min: 1.46 / Avg: 1.46 / Max: 1.46Min: 1.46 / Avg: 1.46 / Max: 1.46Min: 1.46 / Avg: 1.46 / Max: 1.46

OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1235001000150020002500SE +/- 3.46, N = 3SE +/- 2.10, N = 3SE +/- 1.44, N = 32548.512546.452539.22
OpenBenchmarking.orgFPS, More Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU123400800120016002000Min: 2544.68 / Avg: 2548.51 / Max: 2555.41Min: 2542.3 / Avg: 2546.45 / Max: 2549.1Min: 2536.59 / Avg: 2539.22 / Max: 2541.55

OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU1230.32850.6570.98551.3141.6425SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.461.461.46
OpenBenchmarking.orgms, Fewer Is BetterOpenVINO 2021.1Model: Age Gender Recognition Retail 0013 FP32 - Device: CPU123246810Min: 1.46 / Avg: 1.46 / Max: 1.47Min: 1.45 / Avg: 1.46 / Max: 1.46Min: 1.46 / Avg: 1.46 / Max: 1.46

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 Synthesis1230.64981.29961.94942.59923.249SE +/- 0.033, N = 3SE +/- 0.027, N = 3SE +/- 0.025, N = 112.8882.8672.865MIN: 2.68 / MAX: 3.55MIN: 2.65 / MAX: 3.49MIN: 2.57 / MAX: 3.78
OpenBenchmarking.orgSeconds, Fewer Is BetterSunflow Rendering System 0.07.2Global Illumination + Image Synthesis123246810Min: 2.83 / Avg: 2.89 / Max: 2.95Min: 2.83 / Avg: 2.87 / Max: 2.92Min: 2.71 / Avg: 2.87 / Max: 2.98


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