core-i5-4670-december

Intel Core i5-4670 testing with a MSI B85M-P33 (MS-7817) v1.0 (V4.9 BIOS) and MSI Intel HD 4600 2GB on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2012193-HA-COREI546718&sor.

core-i5-4670-december ProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen Resolution11a234Intel Core i5-4670 @ 3.80GHz (4 Cores)MSI B85M-P33 (MS-7817) v1.0 (V4.9 BIOS)Intel 4th Gen Core DRAM8GB2000GB Samsung SSD 860MSI Intel HD 4600 2GB (1200MHz)Intel Xeon E3-1200 v3/4thDELL S2409WRealtek RTL8111/8168/8411Ubuntu 20.045.9.0-050900rc7daily20201002-generic (x86_64) 20201001GNOME Shell 3.36.3X Server 1.20.8modesetting 1.20.84.5 Mesa 20.0.8GCC 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_cpufreq ondemand - CPU Microcode: 0x28 - Thermald 1.9.1 Security 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

core-i5-4670-december hmmer: Pfam Database Searchmafft: Multiple Sequence Alignment - LSU RNAsimdjson: Kostyaonednn: 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 - CPUcoremark: CoreMark Size 666 - Iterations Per Secondbuild-ffmpeg: Time To Compilebuild2: Time To Compilenode-web-tooling: sqlite-speedtest: Timed Time - Size 1,000ncnn: 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_400m11a234140.05812.6170.5910.774613.64206.280974.9239230.304612.585017.550530.541315.202413.89038703.905460.159031.765407.387.700139078.495466.347.5144295428.240380163.119364.7689.7078.85136.339.308.1010.787.9313.242.6828.73134.3831.2325.1963.2352.3151.9416.15140.50512.5180.5911.238316.37266.355995.6591731.436412.681517.693331.274415.154314.03398840.595558.779114.825542.587.819789159.955604.527.5139995542.960974162.233361.9959.8078.64636.959.328.2110.787.9213.412.6828.59134.0431.3425.7163.3052.2752.2516.20140.25612.4390.5911.075917.26576.378525.7244131.425712.688017.728431.282015.158413.91768933.935557.659232.945624.847.845059174.755563.077.5146694952.494565162.075364.1649.8479.19136.879.598.2010.818.0613.392.6928.61133.9330.9125.5362.5653.5652.0016.51140.24012.4630.5911.400517.10326.330315.7343931.374312.640018.302931.205715.149014.05758939.745587.259209.445562.337.826759171.845652.747.5769095883.774516162.655368.1099.7479.10536.939.588.2210.797.7713.372.6828.60134.4831.0925.3262.5452.4451.4016.17OpenBenchmarking.org

Timed HMMer Search

Pfam Database Search

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed HMMer Search 3.3.1Pfam Database Search1432306090120150SE +/- 0.03, N = 3SE +/- 0.18, N = 3SE +/- 0.10, N = 3SE +/- 0.17, N = 3140.06140.24140.26140.511. (CC) gcc options: -O3 -pthread -lhmmer -leasel -lm

Timed MAFFT Alignment

Multiple Sequence Alignment - LSU RNA

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed MAFFT Alignment 7.471Multiple Sequence Alignment - LSU RNA34213691215SE +/- 0.10, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 3SE +/- 0.18, N = 312.4412.4612.5212.621. (CC) gcc options: -std=c99 -O3 -lm -lpthread

simdjson

Throughput Test: Kostya

OpenBenchmarking.orgGB/s, More Is Bettersimdjson 0.7.1Throughput Test: Kostya43210.13280.26560.39840.53120.664SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.590.590.590.591. (CXX) g++ options: -O3 -pthread

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 2.0Harness: IP Shapes 1D - Data Type: f32 - Engine: CPU1a3243691215SE +/- 0.03, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.17, N = 310.7711.0811.2411.40MIN: 10.6MIN: 10.83MIN: 11.08MIN: 10.841. (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: CPU1a24348121620SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 313.6416.3717.1017.27MIN: 13.52MIN: 16.21MIN: 16.9MIN: 17.031. (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: CPU1a423246810SE +/- 0.01198, N = 3SE +/- 0.03023, N = 3SE +/- 0.01670, N = 3SE +/- 0.03782, N = 36.280976.330316.355996.37852MIN: 6.23MIN: 6.22MIN: 6.28MIN: 6.291. (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: CPU1a2341.29022.58043.87065.16086.451SE +/- 0.00651, N = 3SE +/- 0.00675, N = 3SE +/- 0.00635, N = 3SE +/- 0.00987, N = 34.923925.659175.724415.73439MIN: 4.88MIN: 5.61MIN: 5.67MIN: 5.681. (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: CPU1a432714212835SE +/- 0.05, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 330.3031.3731.4331.44MIN: 29.87MIN: 31.11MIN: 31.24MIN: 31.291. (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: CPU1a4233691215SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 312.5912.6412.6812.69MIN: 12.45MIN: 12.5MIN: 12.57MIN: 12.561. (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: CPU1a234510152025SE +/- 0.04, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 3SE +/- 0.15, N = 317.5517.6917.7318.30MIN: 17.38MIN: 17.54MIN: 17.51MIN: 17.821. (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: CPU1a423714212835SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 330.5431.2131.2731.28MIN: 30.28MIN: 30.96MIN: 30.95MIN: 31.061. (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: CPU4231a48121620SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 315.1515.1515.1615.20MIN: 15.09MIN: 15.1MIN: 15.1MIN: 15.091. (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: CPU1a32448121620SE +/- 0.04, N = 3SE +/- 0.07, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 313.8913.9214.0314.06MIN: 13.73MIN: 13.79MIN: 13.95MIN: 13.991. (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: CPU1a2342K4K6K8K10KSE +/- 86.69, N = 3SE +/- 91.42, N = 3SE +/- 86.21, N = 3SE +/- 113.41, N = 38703.908840.598933.938939.74MIN: 8416.9MIN: 8597.38MIN: 8695.66MIN: 8605.751. (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: CPU1a32412002400360048006000SE +/- 28.56, N = 3SE +/- 36.92, N = 3SE +/- 1.45, N = 3SE +/- 15.69, N = 35460.155557.655558.775587.25MIN: 5386.7MIN: 5449.82MIN: 5514.32MIN: 5532.381. (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: CPU1a2432K4K6K8K10KSE +/- 15.55, N = 3SE +/- 14.11, N = 3SE +/- 29.31, N = 3SE +/- 39.97, N = 39031.769114.829209.449232.94MIN: 8754.79MIN: 8823.44MIN: 8882.88MIN: 8959.281. (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: CPU1a24312002400360048006000SE +/- 28.62, N = 3SE +/- 26.83, N = 3SE +/- 42.01, N = 3SE +/- 21.34, N = 35407.385542.585562.335624.84MIN: 5323.35MIN: 5471.62MIN: 5470.24MIN: 5559.141. (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: CPU1a243246810SE +/- 0.00354, N = 3SE +/- 0.00431, N = 3SE +/- 0.00461, N = 3SE +/- 0.01551, N = 37.700137.819787.826757.84505MIN: 7.61MIN: 7.74MIN: 7.74MIN: 7.751. (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: CPU1a2432K4K6K8K10KSE +/- 88.44, N = 3SE +/- 29.34, N = 3SE +/- 25.64, N = 3SE +/- 22.47, N = 39078.499159.959171.849174.75MIN: 8599.52MIN: 8936.59MIN: 8945.74MIN: 8941.681. (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: CPU1a32412002400360048006000SE +/- 38.18, N = 3SE +/- 18.31, N = 3SE +/- 22.30, N = 3SE +/- 16.53, N = 35466.345563.075604.525652.74MIN: 5366.55MIN: 5497.5MIN: 5533.62MIN: 5550.051. (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: CPU21a34246810SE +/- 0.00444, N = 3SE +/- 0.00608, N = 3SE +/- 0.00223, N = 3SE +/- 0.02615, N = 37.513997.514427.514667.57690MIN: 7.46MIN: 7.45MIN: 7.46MIN: 7.461. (CXX) g++ options: -O3 -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread

Coremark

CoreMark Size 666 - Iterations Per Second

OpenBenchmarking.orgIterations/Sec, More Is BetterCoremark 1.0CoreMark Size 666 - Iterations Per Second421a320K40K60K80K100KSE +/- 1036.68, N = 15SE +/- 272.63, N = 3SE +/- 1175.16, N = 3SE +/- 910.46, N = 1595883.7795542.9695428.2494952.491. (CC) gcc options: -O2 -lrt" -lrt

Timed FFmpeg Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed FFmpeg Compilation 4.2.2Time To Compile3241a4080120160200SE +/- 0.08, N = 3SE +/- 0.29, N = 3SE +/- 0.09, N = 3SE +/- 0.30, N = 3162.08162.23162.66163.12

Build2

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterBuild2 0.13Time To Compile231a480160240320400SE +/- 1.03, N = 3SE +/- 1.02, N = 3SE +/- 1.06, N = 3SE +/- 0.42, N = 3362.00364.16364.77368.11

Node.js V8 Web Tooling Benchmark

OpenBenchmarking.orgruns/s, More Is BetterNode.js V8 Web Tooling Benchmark3241a3691215SE +/- 0.04, N = 3SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.07, N = 39.849.809.749.701. Nodejs v10.19.0

SQLite Speedtest

Timed Time - Size 1,000

OpenBenchmarking.orgSeconds, Fewer Is BetterSQLite Speedtest 3.30Timed Time - Size 1,00021a4320406080100SE +/- 0.16, N = 3SE +/- 0.16, N = 3SE +/- 0.17, N = 3SE +/- 0.12, N = 378.6578.8579.1179.191. (CC) gcc options: -O2 -ldl -lz -lpthread

NCNN

Target: CPU - Model: mobilenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mobilenet1a342816243240SE +/- 0.02, N = 3SE +/- 0.33, N = 3SE +/- 0.36, N = 3SE +/- 0.21, N = 336.3336.8736.9336.95MIN: 36.21 / MAX: 38.04MIN: 36.18 / MAX: 39.62MIN: 36.12 / MAX: 50.81MIN: 36.53 / MAX: 38.661. (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-v21a2433691215SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.31, N = 3SE +/- 0.30, N = 39.309.329.589.59MIN: 9.21 / MAX: 11.83MIN: 9.22 / MAX: 21.83MIN: 9.18 / MAX: 11.85MIN: 9.2 / MAX: 10.851. (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-v31a324246810SE +/- 0.02, N = 3SE +/- 0.13, N = 3SE +/- 0.13, N = 3SE +/- 0.11, N = 38.108.208.218.22MIN: 8.01 / MAX: 9.63MIN: 8 / MAX: 11.87MIN: 8.01 / MAX: 9.57MIN: 7.99 / MAX: 10.181. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: shufflenet-v2

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: shufflenet-v21a2433691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 310.7810.7810.7910.81MIN: 10.74 / MAX: 13.51MIN: 10.73 / MAX: 11.61MIN: 10.74 / MAX: 11.01MIN: 10.77 / MAX: 11.051. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: mnasnet421a3246810SE +/- 0.03, N = 3SE +/- 0.08, N = 3SE +/- 0.14, N = 3SE +/- 0.14, N = 37.777.927.938.06MIN: 7.7 / MAX: 7.85MIN: 7.76 / MAX: 8.26MIN: 7.75 / MAX: 8.36MIN: 7.76 / MAX: 101. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: efficientnet-b0

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: efficientnet-b01a4323691215SE +/- 0.05, N = 3SE +/- 0.19, N = 3SE +/- 0.15, N = 3SE +/- 0.15, N = 313.2413.3713.3913.41MIN: 13.14 / MAX: 15.99MIN: 13.14 / MAX: 13.86MIN: 13.17 / MAX: 15.94MIN: 13.16 / MAX: 13.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: blazeface1a2430.60531.21061.81592.42123.0265SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.01, N = 32.682.682.682.69MIN: 2.65 / MAX: 2.78MIN: 2.65 / MAX: 2.87MIN: 2.65 / MAX: 2.87MIN: 2.65 / MAX: 3.461. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: googlenet2431a714212835SE +/- 0.01, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 3SE +/- 0.18, N = 328.5928.6028.6128.73MIN: 28.51 / MAX: 31.16MIN: 28.48 / MAX: 41.57MIN: 28.51 / MAX: 30.66MIN: 28.43 / MAX: 30.191. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: vgg16

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: vgg16321a4306090120150SE +/- 0.13, N = 3SE +/- 0.10, N = 3SE +/- 0.25, N = 3SE +/- 0.46, N = 3133.93134.04134.38134.48MIN: 133.42 / MAX: 157.33MIN: 133.61 / MAX: 145.21MIN: 133.8 / MAX: 148.18MIN: 133.44 / MAX: 146.51. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet18341a2714212835SE +/- 0.09, N = 3SE +/- 0.37, N = 3SE +/- 0.42, N = 3SE +/- 0.12, N = 330.9131.0931.2331.34MIN: 30.66 / MAX: 31.53MIN: 30.57 / MAX: 34.74MIN: 30.71 / MAX: 32.24MIN: 31.01 / MAX: 44.791. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: alexnet1a432612182430SE +/- 0.02, N = 3SE +/- 0.08, N = 3SE +/- 0.17, N = 3SE +/- 0.01, N = 325.1925.3225.5325.71MIN: 25.08 / MAX: 33.51MIN: 25.1 / MAX: 35.86MIN: 25.1 / MAX: 32.92MIN: 25.62 / MAX: 27.631. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet50

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: resnet50431a21428425670SE +/- 0.65, N = 3SE +/- 0.74, N = 3SE +/- 0.71, N = 3SE +/- 0.84, N = 362.5462.5663.2363.30MIN: 61.66 / MAX: 65.95MIN: 61.64 / MAX: 67.01MIN: 61.59 / MAX: 66.79MIN: 61.67 / MAX: 77.711. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: yolov4-tiny

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: yolov4-tiny21a431224364860SE +/- 0.28, N = 3SE +/- 0.18, N = 3SE +/- 0.55, N = 3SE +/- 0.67, N = 352.2752.3152.4453.56MIN: 51.34 / MAX: 63.11MIN: 51.39 / MAX: 75.07MIN: 51.3 / MAX: 54.85MIN: 51.95 / MAX: 63.321. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet_ssd

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: squeezenet_ssd41a321224364860SE +/- 0.21, N = 3SE +/- 0.32, N = 3SE +/- 0.63, N = 3SE +/- 0.26, N = 351.4051.9452.0052.25MIN: 51.03 / MAX: 61MIN: 51.15 / MAX: 55.05MIN: 51.17 / MAX: 53.56MIN: 51.5 / MAX: 55.441. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: regnety_400m

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20201218Target: CPU - Model: regnety_400m1a42348121620SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.16, N = 316.1516.1716.2016.51MIN: 16.08 / MAX: 17.02MIN: 16.12 / MAX: 16.95MIN: 16.07 / MAX: 28.3MIN: 16.14 / MAX: 19.261. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Phoronix Test Suite v10.8.4