Core i7 4770K Xmas

Intel Core i7-4770K testing with a Gigabyte Z97-HD3 (F10c BIOS) and Gigabyte Intel HD 4600 2GB on Ubuntu 20.10 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 2012256-HA-COREI747702
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:

Audio Encoding 3 Tests
Timed Code Compilation 3 Tests
C/C++ Compiler Tests 4 Tests
CPU Massive 4 Tests
Creator Workloads 5 Tests
Encoding 3 Tests
HPC - High Performance Computing 3 Tests
Machine Learning 2 Tests
Multi-Core 5 Tests
Programmer / Developer System Benchmarks 6 Tests
Server 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
December 25 2020
  5 Hours, 48 Minutes
2
December 25 2020
  5 Hours, 39 Minutes
3
December 25 2020
  5 Hours, 54 Minutes
Invert Hiding All Results Option
  5 Hours, 47 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):

Core i7 4770K Xmas - Phoronix Test Suite

Core i7 4770K Xmas

Intel Core i7-4770K testing with a Gigabyte Z97-HD3 (F10c BIOS) and Gigabyte Intel HD 4600 2GB on Ubuntu 20.10 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2012256-HA-COREI747702&gru&sor.

Core i7 4770K XmasProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLVulkanCompilerFile-SystemScreen Resolution123Intel Core i7-4770K @ 3.90GHz (4 Cores / 8 Threads)Gigabyte Z97-HD3 (F10c BIOS)Intel 4th Gen Core DRAM8GB120GB ADATA SU700Gigabyte Intel HD 4600 2GB (1250MHz)Intel Xeon E3-1200 v3/4thDELL S2409WRealtek RTL8111/8168/8411Ubuntu 20.105.8.0-31-generic (x86_64)GNOME Shell 3.38.1X Server 1.20.9modesetting 1.20.94.5 Mesa 20.2.11.2.145GCC 10.2.0ext41920x1080OpenBenchmarking.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++,m2 --enable-libphobos-checking=release --enable-libstdcxx-debug --enable-libstdcxx-time=yes --enable-multiarch --enable-multilib --enable-nls --enable-objc-gc=auto --enable-offload-targets=nvptx-none=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-10-JvwpWM/gcc-10-10.2.0/debian/tmp-gcn/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: intel_cpufreq ondemand - CPU Microcode: 0x28 - Thermald 2.3 Security Details- itlb_multihit: KVM: Mitigation of VMX disabled + l1tf: Mitigation of PTE Inversion; VMX: conditional cache flushes SMT vulnerable + mds: Mitigation of Clear buffers; SMT vulnerable + 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: conditional RSB filling + srbds: Mitigation of Microcode + tsx_async_abort: Not affected

Core i7 4770K Xmassimdjson: Kostyasimdjson: LargeRandsimdjson: PartialTweetssimdjson: DistinctUserIDcoremark: CoreMark Size 666 - Iterations Per Secondnode-web-tooling: clomp: Static OMP Speedupbrl-cad: VGR Performance Metricvkmark: 1920 x 1080onednn: IP Shapes 1D - f32 - CPUonednn: IP Shapes 3D - f32 - CPUonednn: IP Shapes 1D - u8s8f32 - CPUonednn: IP Shapes 3D - u8s8f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch shapes_1d - f32 - CPUonednn: Deconvolution Batch shapes_3d - f32 - CPUonednn: Convolution Batch Shapes Auto - u8s8f32 - CPUonednn: Deconvolution Batch shapes_1d - u8s8f32 - CPUonednn: Deconvolution Batch shapes_3d - u8s8f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Recurrent Neural Network Training - u8s8f32 - CPUonednn: Recurrent Neural Network Inference - u8s8f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUonednn: Recurrent Neural Network Training - bf16bf16bf16 - CPUonednn: Recurrent Neural Network Inference - bf16bf16bf16 - CPUonednn: Matrix Multiply Batch Shapes Transformer - u8s8f32 - CPUncnn: CPU - mobilenetncnn: CPU-v2-v2 - mobilenet-v2ncnn: CPU-v3-v3 - mobilenet-v3ncnn: CPU - shufflenet-v2ncnn: CPU - mnasnetncnn: CPU - efficientnet-b0ncnn: CPU - blazefacencnn: CPU - googlenetncnn: CPU - vgg16ncnn: CPU - resnet18ncnn: CPU - alexnetncnn: CPU - resnet50ncnn: CPU - yolov4-tinyncnn: CPU - squeezenet_ssdncnn: CPU - regnety_400mncnn: Vulkan GPU - mobilenetncnn: Vulkan GPU-v2-v2 - mobilenet-v2ncnn: Vulkan GPU-v3-v3 - mobilenet-v3ncnn: Vulkan GPU - shufflenet-v2ncnn: Vulkan GPU - mnasnetncnn: Vulkan GPU - efficientnet-b0ncnn: Vulkan GPU - blazefacencnn: Vulkan GPU - googlenetncnn: Vulkan GPU - vgg16ncnn: Vulkan GPU - resnet18ncnn: Vulkan GPU - alexnetncnn: Vulkan GPU - resnet50ncnn: Vulkan GPU - yolov4-tinyncnn: Vulkan GPU - squeezenet_ssdncnn: Vulkan GPU - regnety_400mhmmer: Pfam Database Searchbuild-ffmpeg: Time To Compilebuild2: Time To Compilebuild-eigen: Time To Compileencode-ape: WAV To APEencode-opus: WAV To Opus Encodesqlite-speedtest: Timed Time - Size 1,000encode-wavpack: WAV To WavPack1230.600.40.660.68144430.9675179.300.94237329211.173415.91425.977934.7261332.119813.549718.926531.026514.419112.956110419.25784.0410639.45730.728.1043510641.55907.307.3295139.3010.428.7411.418.3714.263.2929.65127.4630.4825.1061.8551.5840.6120.6939.2410.568.7711.518.5314.403.2529.81126.4830.4725.0963.2151.8340.2720.70137.774145.942388.39396.65614.0599.13280.18615.5480.600.40.660.68144054.7592079.291.14236529211.361715.65135.941464.6935532.126113.355718.953530.925014.830712.954210472.45922.9910420.85954.528.0976610647.05822.137.3356739.2910.668.6611.428.4214.323.1730.43127.5531.4225.1663.2752.9840.3020.5539.5510.508.7211.428.4114.283.1830.53128.3430.6425.6263.5553.0541.2720.75137.939146.295385.58497.28913.8739.13381.52415.5440.600.40.660.68144381.8916419.241.14216929011.593318.89285.998724.9978632.578013.292219.073730.947414.567212.901910683.55971.4410853.56041.908.8544310925.15981.807.2363139.7711.048.9111.448.6514.433.2830.19128.0230.7525.1764.1054.2341.5720.9039.6410.898.8411.498.4314.263.2430.37127.9730.6925.1163.3453.4542.1020.88137.903146.978388.95397.29913.9539.11380.10015.562OpenBenchmarking.org

simdjson

Throughput Test: Kostya

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya3210.1350.270.4050.540.675SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.600.600.601. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: LargeRandom

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: LargeRandom3210.090.180.270.360.45SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.40.40.41. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: PartialTweets

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: PartialTweets3210.14850.2970.44550.5940.7425SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.660.660.661. (CXX) g++ options: -O3 -pthread

simdjson

Throughput Test: DistinctUserID

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: DistinctUserID3210.1530.3060.4590.6120.765SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.680.680.681. (CXX) g++ options: -O3 -pthread

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second13230K60K90K120K150KSE +/- 201.95, N = 3SE +/- 511.87, N = 3SE +/- 324.47, N = 3144430.97144381.89144054.761. (CC) gcc options: -O2 -lrt" -lrt

Node.js V8 Web Tooling Benchmark

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark1233691215SE +/- 0.08, N = 3SE +/- 0.01, N = 3SE +/- 0.08, N = 39.309.299.241. Nodejs v12.18.2

CLOMP

Static OMP Speedup

OpenBenchmarking.orgSpeedup, More Is BetterCLOMP 1.2Static OMP Speedup3210.24750.4950.74250.991.2375SE +/- 0.02, N = 12SE +/- 0.04, N = 9SE +/- 0.04, N = 111.11.10.91. (CC) gcc options: -fopenmp -O3 -lm

BRL-CAD

VGR Performance Metric

OpenBenchmarking.orgVGR Performance Metric, More Is BetterBRL-CAD 7.30.8VGR Performance Metric1239K18K27K36K45K4237342365421691. (CXX) g++ options: -std=c++11 -pipe -fno-strict-aliasing -fno-common -fexceptions -ftemplate-depth-128 -m64 -ggdb3 -O3 -fipa-pta -fstrength-reduce -finline-functions -flto -pedantic -rdynamic -lSM -lICE -lXi -lGLU -lGL -lGLdispatch -lX11 -lXext -lXrender -lpthread -ldl -luuid -lm

VKMark

Resolution: 1920 x 1080

OpenBenchmarking.orgVKMark Score, More Is BetterVKMark 2020-05-21Resolution: 1920 x 108021360120180240300SE +/- 0.67, N = 3SE +/- 0.33, N = 32922922901. (CXX) g++ options: -pthread -ldl -pipe -std=c++14 -MD -MQ -MF

oneDNN

Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU1233691215SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.02, N = 311.1711.3611.59MIN: 9.59MIN: 9.64MIN: 9.811. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: f32 - Engine: CPU213510152025SE +/- 0.23, N = 3SE +/- 0.19, N = 3SE +/- 0.18, N = 915.6515.9118.89MIN: 14.56MIN: 14.84MIN: 17.561. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: u8s8f32 - Engine: CPU2131.34972.69944.04915.39886.7485SE +/- 0.01650, N = 3SE +/- 0.00573, N = 3SE +/- 0.02064, N = 35.941465.977935.99872MIN: 5.35MIN: 5.37MIN: 5.391. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 3D - Data Type: u8s8f32 - Engine: CPU2131.12452.2493.37354.4985.6225SE +/- 0.01254, N = 3SE +/- 0.00568, N = 3SE +/- 0.00347, N = 34.693554.726134.99786MIN: 4.15MIN: 4.17MIN: 4.391. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU123816243240SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 332.1232.1332.58MIN: 30.77MIN: 30.76MIN: 31.181. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: f32 - Engine: CPU3213691215SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.05, N = 313.2913.3613.55MIN: 11.34MIN: 11.47MIN: 11.761. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: f32 - Engine: CPU123510152025SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 318.9318.9519.07MIN: 17.94MIN: 17.8MIN: 17.711. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU231714212835SE +/- 0.03, N = 3SE +/- 0.25, N = 3SE +/- 0.04, N = 330.9330.9531.03MIN: 29.31MIN: 29.08MIN: 29.171. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_1d - Data Type: u8s8f32 - Engine: CPU13248121620SE +/- 0.08, N = 3SE +/- 0.19, N = 3SE +/- 0.16, N = 714.4214.5714.83MIN: 12.59MIN: 12.66MIN: 12.641. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Deconvolution Batch shapes_3d - Data Type: u8s8f32 - Engine: CPU3213691215SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 312.9012.9512.96MIN: 11.73MIN: 11.96MIN: 11.961. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU1232K4K6K8K10KSE +/- 107.95, N = 3SE +/- 143.78, N = 3SE +/- 103.29, N = 310419.210472.410683.5MIN: 10130.6MIN: 10130.6MIN: 10271.51. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU12313002600390052006500SE +/- 67.54, N = 3SE +/- 39.11, N = 3SE +/- 76.96, N = 35784.045922.995971.44MIN: 5574.2MIN: 5689.07MIN: 5746.721. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: u8s8f32 - Engine: CPU2132K4K6K8K10KSE +/- 55.37, N = 3SE +/- 126.69, N = 3SE +/- 89.46, N = 310420.810639.410853.5MIN: 10122.1MIN: 10142.8MIN: 10230.81. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: u8s8f32 - Engine: CPU12313002600390052006500SE +/- 34.96, N = 3SE +/- 28.84, N = 3SE +/- 103.03, N = 35730.725954.526041.90MIN: 5610.11MIN: 5716.33MIN: 5795.411. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU213246810SE +/- 0.00568, N = 3SE +/- 0.02583, N = 3SE +/- 0.08022, N = 108.097668.104358.85443MIN: 7.36MIN: 7.33MIN: 7.411. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Training - Data Type: bf16bf16bf16 - Engine: CPU1232K4K6K8K10KSE +/- 84.33, N = 3SE +/- 79.82, N = 3SE +/- 134.60, N = 310641.510647.010925.1MIN: 10074.8MIN: 10136.8MIN: 10351.41. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Recurrent Neural Network Inference - Data Type: bf16bf16bf16 - Engine: CPU21313002600390052006500SE +/- 36.61, N = 3SE +/- 36.51, N = 3SE +/- 45.12, N = 35822.135907.305981.80MIN: 5676.41MIN: 5685.76MIN: 5790.741. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

oneDNN

Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU312246810SE +/- 0.02346, N = 3SE +/- 0.01240, N = 3SE +/- 0.02785, N = 37.236317.329517.33567MIN: 6.08MIN: 6.09MIN: 6.131. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet213918273645SE +/- 0.17, N = 3SE +/- 0.17, N = 3SE +/- 0.05, N = 339.2939.3039.77MIN: 37.69 / MAX: 53.53MIN: 37.67 / MAX: 52.04MIN: 38.23 / MAX: 54.991. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v2-v2 - Model: mobilenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v2-v2 - Model: mobilenet-v21233691215SE +/- 0.01, N = 3SE +/- 0.12, N = 3SE +/- 0.11, N = 310.4210.6611.04MIN: 9 / MAX: 26.06MIN: 9.15 / MAX: 22.02MIN: 9.49 / MAX: 23.361. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU-v3-v3 - Model: mobilenet-v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU-v3-v3 - Model: mobilenet-v3213246810SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.08, N = 38.668.748.91MIN: 7.66 / MAX: 11.93MIN: 7.43 / MAX: 21.86MIN: 7.68 / MAX: 24.141. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v21233691215SE +/- 0.05, N = 3SE +/- 0.09, N = 3SE +/- 0.10, N = 311.4111.4211.44MIN: 9.61 / MAX: 24.27MIN: 9.78 / MAX: 21.73MIN: 10.2 / MAX: 14.31. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet123246810SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.14, N = 38.378.428.65MIN: 7.43 / MAX: 11.53MIN: 7.43 / MAX: 10.7MIN: 7.52 / MAX: 22.411. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b012348121620SE +/- 0.06, N = 3SE +/- 0.17, N = 3SE +/- 0.07, N = 314.2614.3214.43MIN: 12.32 / MAX: 58.63MIN: 12.71 / MAX: 21.22MIN: 12.96 / MAX: 26.11. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface2310.74031.48062.22092.96123.7015SE +/- 0.02, N = 3SE +/- 0.07, N = 3SE +/- 0.05, N = 33.173.283.29MIN: 2.84 / MAX: 5.58MIN: 2.87 / MAX: 6.08MIN: 2.93 / MAX: 5.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet132714212835SE +/- 0.12, N = 3SE +/- 0.38, N = 3SE +/- 0.05, N = 329.6530.1930.43MIN: 27.35 / MAX: 44.36MIN: 27.95 / MAX: 43.65MIN: 27.97 / MAX: 44.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16123306090120150SE +/- 0.47, N = 3SE +/- 0.12, N = 3SE +/- 0.28, N = 3127.46127.55128.02MIN: 123.62 / MAX: 155.82MIN: 124.34 / MAX: 142.98MIN: 124.75 / MAX: 141.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18132714212835SE +/- 0.48, N = 3SE +/- 0.49, N = 3SE +/- 0.35, N = 330.4830.7531.42MIN: 28.51 / MAX: 48.91MIN: 28.65 / MAX: 43.26MIN: 29.38 / MAX: 44.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet123612182430SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.07, N = 325.1025.1625.17MIN: 23.66 / MAX: 35.12MIN: 23.92 / MAX: 36.39MIN: 23.93 / MAX: 36.811. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet501231428425670SE +/- 0.32, N = 3SE +/- 0.36, N = 3SE +/- 0.63, N = 361.8563.2764.10MIN: 59.67 / MAX: 77.54MIN: 60.14 / MAX: 79.04MIN: 60.8 / MAX: 78.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny1231224364860SE +/- 0.60, N = 3SE +/- 0.61, N = 3SE +/- 0.49, N = 351.5852.9854.23MIN: 49.32 / MAX: 73.38MIN: 49.76 / MAX: 62.27MIN: 51.36 / MAX: 69.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd213918273645SE +/- 0.31, N = 3SE +/- 0.38, N = 3SE +/- 0.08, N = 340.3040.6141.57MIN: 38.88 / MAX: 50.48MIN: 38.69 / MAX: 57.91MIN: 39.79 / MAX: 51.011. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m213510152025SE +/- 0.11, N = 3SE +/- 0.10, N = 3SE +/- 0.26, N = 320.5520.6920.90MIN: 19.68 / MAX: 41.87MIN: 19.76 / MAX: 32.47MIN: 19.89 / MAX: 33.221. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mobilenet123918273645SE +/- 0.08, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 339.2439.5539.64MIN: 37.61 / MAX: 75.08MIN: 37.98 / MAX: 52.81MIN: 38.24 / MAX: 53.681. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v2-v2 - Model: mobilenet-v22133691215SE +/- 0.13, N = 3SE +/- 0.07, N = 3SE +/- 0.09, N = 310.5010.5610.89MIN: 9.06 / MAX: 19.24MIN: 9.17 / MAX: 22.12MIN: 9.36 / MAX: 27.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3213246810SE +/- 0.06, N = 3SE +/- 0.13, N = 3SE +/- 0.04, N = 38.728.778.84MIN: 7.36 / MAX: 21.89MIN: 7.65 / MAX: 16.44MIN: 7.72 / MAX: 20.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: shufflenet-v22313691215SE +/- 0.09, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 311.4211.4911.51MIN: 10.18 / MAX: 14.51MIN: 10.27 / MAX: 24.45MIN: 9.89 / MAX: 25.371. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: mnasnet231246810SE +/- 0.08, N = 3SE +/- 0.06, N = 3SE +/- 0.04, N = 38.418.438.53MIN: 7.37 / MAX: 18.13MIN: 7.18 / MAX: 23.58MIN: 7.67 / MAX: 11.271. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: efficientnet-b032148121620SE +/- 0.09, N = 3SE +/- 0.05, N = 3SE +/- 0.06, N = 314.2614.2814.40MIN: 12.68 / MAX: 28.42MIN: 12.77 / MAX: 26.63MIN: 12.89 / MAX: 32.021. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: blazeface2310.73131.46262.19392.92523.6565SE +/- 0.02, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 33.183.243.25MIN: 2.85 / MAX: 7.23MIN: 2.74 / MAX: 13.7MIN: 2.92 / MAX: 5.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: googlenet132714212835SE +/- 0.08, N = 3SE +/- 0.30, N = 3SE +/- 0.15, N = 329.8130.3730.53MIN: 27.66 / MAX: 43.24MIN: 27.85 / MAX: 41.19MIN: 27.72 / MAX: 49.161. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: vgg16132306090120150SE +/- 0.12, N = 3SE +/- 0.22, N = 3SE +/- 0.19, N = 3126.48127.97128.34MIN: 123.52 / MAX: 147.25MIN: 124.99 / MAX: 146.71MIN: 124.8 / MAX: 144.281. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet18123714212835SE +/- 0.34, N = 3SE +/- 0.25, N = 3SE +/- 0.32, N = 330.4730.6430.69MIN: 28.73 / MAX: 39.99MIN: 29 / MAX: 45.72MIN: 29.02 / MAX: 42.891. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: alexnet132612182430SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.30, N = 325.0925.1125.62MIN: 24.07 / MAX: 34.98MIN: 23.93 / MAX: 31.49MIN: 24.03 / MAX: 37.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: resnet501321428425670SE +/- 1.40, N = 3SE +/- 0.70, N = 3SE +/- 0.50, N = 363.2163.3463.55MIN: 59.61 / MAX: 81.53MIN: 59.91 / MAX: 77.11MIN: 59.8 / MAX: 83.821. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: yolov4-tiny1231224364860SE +/- 0.34, N = 3SE +/- 0.51, N = 3SE +/- 0.37, N = 351.8353.0553.45MIN: 49.56 / MAX: 65.5MIN: 49.64 / MAX: 66.59MIN: 50.95 / MAX: 68.331. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: squeezenet_ssd1231020304050SE +/- 0.38, N = 3SE +/- 0.71, N = 3SE +/- 0.42, N = 340.2741.2742.10MIN: 38.86 / MAX: 55.4MIN: 38.91 / MAX: 54.13MIN: 39.99 / MAX: 60.71. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: Vulkan GPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: Vulkan GPU - Model: regnety_400m123510152025SE +/- 0.08, N = 3SE +/- 0.10, N = 3SE +/- 0.11, N = 320.7020.7520.88MIN: 19.92 / MAX: 33.36MIN: 19.66 / MAX: 33.43MIN: 19.92 / MAX: 33.661. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search132306090120150SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.10, N = 3137.77137.90137.941. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile123306090120150SE +/- 2.20, N = 3SE +/- 2.25, N = 3SE +/- 1.80, N = 3145.94146.30146.98

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile21380160240320400SE +/- 1.77, N = 3SE +/- 2.56, N = 3SE +/- 1.04, N = 3385.58388.39388.95

Timed Eigen Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Eigen Compilation 3.3.9Time To Compile12320406080100SE +/- 0.15, N = 3SE +/- 0.33, N = 3SE +/- 0.28, N = 396.6697.2997.30

Monkey Audio Encoding

WAV To APE

OpenBenchmarking.orgSeconds, Fewer Is BetterMonkey Audio Encoding 3.99.6WAV To APE23148121620SE +/- 0.01, N = 5SE +/- 0.04, N = 5SE +/- 0.09, N = 513.8713.9514.061. (CXX) g++ options: -O3 -pedantic -rdynamic -lrt

Opus Codec Encoding

WAV To Opus Encode

OpenBenchmarking.orgSeconds, Fewer Is BetterOpus Codec Encoding 1.3.1WAV To Opus Encode3123691215SE +/- 0.008, N = 5SE +/- 0.019, N = 5SE +/- 0.008, N = 59.1139.1329.1331. (CXX) g++ options: -fvisibility=hidden -logg -lm

SQLite Speedtest

Timed Time - Size 1,000

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,00031220406080100SE +/- 0.67, N = 3SE +/- 0.66, N = 3SE +/- 0.42, N = 380.1080.1981.521. (CC) gcc options: -O2 -ldl -lz -lpthread

WavPack Audio Encoding

WAV To WavPack

OpenBenchmarking.orgSeconds, Fewer Is BetterWavPack Audio Encoding 5.3WAV To WavPack21348121620SE +/- 0.03, N = 5SE +/- 0.03, N = 5SE +/- 0.04, N = 515.5415.5515.561. (CXX) g++ options: -rdynamic

Phoronix Test Suite v10.8.4