Core i3 7100 September

Intel Core i3-7100 testing with a Gigabyte B250M-DS3H-CF (F9 BIOS) and Gigabyte Intel HD 630 3GB on Ubuntu 19.10 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2009230-FI-COREI371045&grs.

Core i3 7100 SeptemberProcessorMotherboardChipsetMemoryDiskGraphicsAudioMonitorNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionCore i3 7100v5.9v5.9 Try 2Intel Core i3-7100 @ 3.90GHz (2 Cores / 4 Threads)Gigabyte B250M-DS3H-CF (F9 BIOS)Intel Xeon E3-1200 v6/7th + B2508GB250GB Western Digital WDS250G1B0A-Gigabyte Intel HD 630 3GB (1100MHz)Realtek ALC887-VDVA2431Realtek RTL8111/8168/8411Ubuntu 19.105.9.0-050900rc1daily20200822-generic (x86_64) 20200821GNOME Shell 3.34.1X Server 1.20.5modesetting 1.20.54.5 Mesa 19.2.8GCC 9.2.1 20191008ext41920x1080OpenBenchmarking.orgCompiler Details- --build=x86_64-linux-gnu --disable-vtable-verify --disable-werror --enable-bootstrap --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-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: 0xd6Python Details- Python 2.7.17rc1 + Python 3.7.5Security 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 i3 7100 Septembernamd: ATPase Simulation - 327,506 Atomsosbench: Launch Programsopencv: Object Detectionincompact3d: Cylinderosbench: Create Processesopencv: DNN - Deep Neural Networkosbench: Memory Allocationsespeak: Text-To-Speech Synthesismnn: inception-v3opencv: Features 2Dosbench: Create Threadsmnn: MobileNetV2_224webp: Quality 100, Lossless, Highest Compressionncnn: CPU - mnasnetmnn: resnet-v2-50webp: Quality 100, Losslesslibraw: Post-Processing Benchmarkcompress-zstd: 19mnn: SqueezeNetV1.0ncnn: CPU - mobilenet_v3ncnn: CPU - squeezenetglmark2: 1920 x 1080mnn: mobilenet-v1-1.0lammps: Rhodopsin Proteinncnn: CPU - alexnetwebp: Quality 100, Highest Compressionmocassin: Dust 2D tau100.0ncnn: CPU - blazefaceaom-av1: Speed 8 Realtimencnn: CPU - mobilenetv2_yolov3ncnn: CPU - resnet18_int8compress-zstd: 3osbench: Create Filesncnn: CPU - vgg16_int8system-decompress-gzip: ncnn: CPU - resnet50_int8ncnn: CPU - googlenet_int8ncnn: CPU - squeezenet_int8system-decompress-zlib: webp: Defaultwebp: Quality 100aom-av1: Speed 6 Realtimetensorflow-lite: NASNet Mobiledcraw: RAW To PPM Image Conversiontensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: SqueezeNettensorflow-lite: Inception ResNet V2tensorflow-lite: Inception V4aom-av1: Speed 6 Two-Passaom-av1: Speed 4 Two-Passaom-av1: Speed 0 Two-PassCore i3 7100v5.9v5.9 Try 27.52863116.080443529811346.3419234.066041715483.00201132.10689.54519271114.2987577.78454.5669.7566.73522.82118.8812.615.1349.106.2747710.8731.52426.158.2544152.6229.8842.9459.171544.316.462315381.443.295189.7886.5931.411920.4550711.7252.71610.2365524242.70162371064075991539611975567132304672.331.450.167.11332119.992892532521314.6977933.290386730681.31829932.20188.25619003314.2502787.70654.0119.6666.13222.61818.9112.715.0729.046.2347810.8141.52526.028.2174142.6229.9042.7958.971548.616.483896382.213.296189.4686.5131.361918.0870741.7242.71410.2265561042.72462338664095191560811974733132315672.331.450.167.12481117.874146546451313.1705733.803781719381.31265731.56288.20618985614.0905387.69054.2359.6966.18122.71319.0312.615.0319.066.2448010.8441.53226.148.2134162.6129.7942.8259.021549.016.446564382.103.301189.5086.4531.371919.2768241.7262.71310.2365573442.70962346664100591562711973867132300002.331.450.16OpenBenchmarking.org

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsCore i3 7100v5.9v5.9 Try 2246810SE +/- 0.10701, N = 3SE +/- 0.00743, N = 3SE +/- 0.01481, N = 37.528637.113327.12481

OSBench

Test: Launch Programs

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Launch ProgramsCore i3 7100v5.9v5.9 Try 2306090120150SE +/- 0.65, N = 3SE +/- 0.82, N = 3SE +/- 1.75, N = 3116.08119.99117.871. (CC) gcc options: -lm

OpenCV

Test: Object Detection

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: Object DetectionCore i3 7100v5.9v5.9 Try 212K24K36K48K60KSE +/- 613.72, N = 15SE +/- 668.37, N = 15SE +/- 669.60, N = 45298153252546451. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

Incompact3D

Input: Cylinder

OpenBenchmarking.orgSeconds, Fewer Is BetterIncompact3D 2020-09-17Input: CylinderCore i3 7100v5.9v5.9 Try 230060090012001500SE +/- 2.53, N = 3SE +/- 2.19, N = 3SE +/- 0.54, N = 31346.341314.701313.171. (F9X) gfortran options: -cpp -funroll-loops -floop-optimize -fcray-pointer -fbacktrace -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

OSBench

Test: Create Processes

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create ProcessesCore i3 7100v5.9v5.9 Try 2816243240SE +/- 0.54, N = 3SE +/- 0.07, N = 3SE +/- 0.14, N = 334.0733.2933.801. (CC) gcc options: -lm

OpenCV

Test: DNN - Deep Neural Network

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: DNN - Deep Neural NetworkCore i3 7100v5.9v5.9 Try 216003200480064008000SE +/- 48.67, N = 3SE +/- 102.33, N = 3SE +/- 74.60, N = 37154730671931. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

OSBench

Test: Memory Allocations

OpenBenchmarking.orgNs Per Event, Fewer Is BetterOSBenchTest: Memory AllocationsCore i3 7100v5.9v5.9 Try 220406080100SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.04, N = 383.0081.3281.311. (CC) gcc options: -lm

eSpeak-NG Speech Engine

Text-To-Speech Synthesis

OpenBenchmarking.orgSeconds, Fewer Is BettereSpeak-NG Speech Engine 20200907Text-To-Speech SynthesisCore i3 7100v5.9v5.9 Try 2714212835SE +/- 0.29, N = 4SE +/- 0.16, N = 4SE +/- 0.26, N = 432.1132.2031.561. (CC) gcc options: -O2 -std=c99

Mobile Neural Network

Model: inception-v3

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: inception-v3Core i3 7100v5.9v5.9 Try 220406080100SE +/- 0.19, N = 3SE +/- 0.04, N = 3SE +/- 0.03, N = 389.5588.2688.21MIN: 88.66 / MAX: 281.78MIN: 87.84 / MAX: 106.52MIN: 87.73 / MAX: 106.121. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

OpenCV

Test: Features 2D

OpenBenchmarking.orgms, Fewer Is BetterOpenCV 4.4Test: Features 2DCore i3 7100v5.9v5.9 Try 240K80K120K160K200KSE +/- 3170.64, N = 12SE +/- 2927.06, N = 12SE +/- 2284.45, N = 121927111900331898561. (CXX) g++ options: -fsigned-char -pthread -fomit-frame-pointer -ffunction-sections -fdata-sections -msse -msse2 -msse3 -fvisibility=hidden -O3 -ldl -lm -lpthread -lrt

OSBench

Test: Create Threads

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create ThreadsCore i3 7100v5.9v5.9 Try 248121620SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.02, N = 314.3014.2514.091. (CC) gcc options: -lm

Mobile Neural Network

Model: MobileNetV2_224

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: MobileNetV2_224Core i3 7100v5.9v5.9 Try 2246810SE +/- 0.017, N = 3SE +/- 0.015, N = 3SE +/- 0.011, N = 37.7847.7067.690MIN: 7.64 / MAX: 48.48MIN: 7.61 / MAX: 10.62MIN: 7.59 / MAX: 25.971. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

WebP Image Encode

Encode Settings: Quality 100, Lossless, Highest Compression

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Lossless, Highest CompressionCore i3 7100v5.9v5.9 Try 21224364860SE +/- 0.28, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 354.5754.0154.241. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

NCNN

Target: CPU - Model: mnasnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mnasnetCore i3 7100v5.9v5.9 Try 23691215SE +/- 0.00, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 39.759.669.69MIN: 9.71 / MAX: 10.48MIN: 9.61 / MAX: 20.07MIN: 9.62 / MAX: 11.531. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Mobile Neural Network

Model: resnet-v2-50

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: resnet-v2-50Core i3 7100v5.9v5.9 Try 21530456075SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.02, N = 366.7466.1366.18MIN: 66.42 / MAX: 125.08MIN: 65.86 / MAX: 84.63MIN: 65.93 / MAX: 98.621. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

WebP Image Encode

Encode Settings: Quality 100, Lossless

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, LosslessCore i3 7100v5.9v5.9 Try 2510152025SE +/- 0.01, N = 3SE +/- 0.05, N = 3SE +/- 0.03, N = 322.8222.6222.711. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

LibRaw

Post-Processing Benchmark

OpenBenchmarking.orgMpix/sec, More Is BetterLibRaw 0.20Post-Processing BenchmarkCore i3 7100v5.9v5.9 Try 2510152025SE +/- 0.06, N = 3SE +/- 0.04, N = 3SE +/- 0.01, N = 318.8818.9119.031. (CXX) g++ options: -O2 -fopenmp -ljpeg -lz -lm

Zstd Compression

Compression Level: 19

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 19Core i3 7100v5.9v5.9 Try 23691215SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 312.612.712.61. (CC) gcc options: -O3 -pthread -lz -llzma

Mobile Neural Network

Model: SqueezeNetV1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: SqueezeNetV1.0Core i3 7100v5.9v5.9 Try 248121620SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.01, N = 315.1315.0715.03MIN: 15 / MAX: 33.36MIN: 14.95 / MAX: 55.49MIN: 14.94 / MAX: 32.931. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

NCNN

Target: CPU - Model: mobilenet_v3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenet_v3Core i3 7100v5.9v5.9 Try 23691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 39.109.049.06MIN: 9.04 / MAX: 9.41MIN: 8.97 / MAX: 10.58MIN: 8.98 / MAX: 19.241. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenetCore i3 7100v5.9v5.9 Try 2246810SE +/- 0.02, N = 3SE +/- 0.01, N = 3SE +/- 0.01, N = 36.276.236.24MIN: 6.22 / MAX: 6.57MIN: 6.18 / MAX: 6.49MIN: 6.18 / MAX: 6.471. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

GLmark2

Resolution: 1920 x 1080

OpenBenchmarking.orgScore, More Is BetterGLmark2 2020.04Resolution: 1920 x 1080Core i3 7100v5.9v5.9 Try 2100200300400500477478480

Mobile Neural Network

Model: mobilenet-v1-1.0

OpenBenchmarking.orgms, Fewer Is BetterMobile Neural Network 2020-09-17Model: mobilenet-v1-1.0Core i3 7100v5.9v5.9 Try 23691215SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 310.8710.8110.84MIN: 10.8 / MAX: 11.16MIN: 10.74 / MAX: 29.24MIN: 10.75 / MAX: 37.071. (CXX) g++ options: -std=c++11 -O3 -fvisibility=hidden -fomit-frame-pointer -fstrict-aliasing -ffunction-sections -fdata-sections -ffast-math -fno-rtti -fno-exceptions -rdynamic -pthread -ldl

LAMMPS Molecular Dynamics Simulator

Model: Rhodopsin Protein

OpenBenchmarking.orgns/day, More Is BetterLAMMPS Molecular Dynamics Simulator 24Aug2020Model: Rhodopsin ProteinCore i3 7100v5.9v5.9 Try 20.34470.68941.03411.37881.7235SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.006, N = 31.5241.5251.5321. (CXX) g++ options: -O3 -pthread -lm

NCNN

Target: CPU - Model: alexnet

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: alexnetCore i3 7100v5.9v5.9 Try 2612182430SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.03, N = 326.1526.0226.14MIN: 25.99 / MAX: 34.84MIN: 25.79 / MAX: 36.44MIN: 25.88 / MAX: 33.671. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

WebP Image Encode

Encode Settings: Quality 100, Highest Compression

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100, Highest CompressionCore i3 7100v5.9v5.9 Try 2246810SE +/- 0.013, N = 3SE +/- 0.008, N = 3SE +/- 0.001, N = 38.2548.2178.2131. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

Monte Carlo Simulations of Ionised Nebulae

Input: Dust 2D tau100.0

OpenBenchmarking.orgSeconds, Fewer Is BetterMonte Carlo Simulations of Ionised Nebulae 2019-03-24Input: Dust 2D tau100.0Core i3 7100v5.9v5.9 Try 290180270360450SE +/- 0.58, N = 3SE +/- 0.88, N = 34154144161. (F9X) gfortran options: -cpp -Jsource/ -ffree-line-length-0 -lm -std=legacy -O3 -O2 -pthread -lmpi_usempif08 -lmpi_mpifh -lmpi

NCNN

Target: CPU - Model: blazeface

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: blazefaceCore i3 7100v5.9v5.9 Try 20.58951.1791.76852.3582.9475SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 32.622.622.61MIN: 2.6 / MAX: 2.72MIN: 2.59 / MAX: 2.66MIN: 2.59 / MAX: 2.651. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

AOM AV1

Encoder Mode: Speed 8 Realtime

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 8 RealtimeCore i3 7100v5.9v5.9 Try 2714212835SE +/- 0.04, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 329.8829.9029.791. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

NCNN

Target: CPU - Model: mobilenetv2_yolov3

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: mobilenetv2_yolov3Core i3 7100v5.9v5.9 Try 21020304050SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 342.9442.7942.82MIN: 42.82 / MAX: 52.91MIN: 42.66 / MAX: 45.31MIN: 42.64 / MAX: 53.511. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: resnet18_int8

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet18_int8Core i3 7100v5.9v5.9 Try 21326395265SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 359.1758.9759.02MIN: 58.97 / MAX: 69.5MIN: 58.84 / MAX: 60.7MIN: 58.86 / MAX: 68.641. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

Zstd Compression

Compression Level: 3

OpenBenchmarking.orgMB/s, More Is BetterZstd Compression 1.4.5Compression Level: 3Core i3 7100v5.9v5.9 Try 230060090012001500SE +/- 7.95, N = 3SE +/- 4.45, N = 3SE +/- 4.02, N = 31544.31548.61549.01. (CC) gcc options: -O3 -pthread -lz -llzma

OSBench

Test: Create Files

OpenBenchmarking.orgus Per Event, Fewer Is BetterOSBenchTest: Create FilesCore i3 7100v5.9v5.9 Try 248121620SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.02, N = 316.4616.4816.451. (CC) gcc options: -lm

NCNN

Target: CPU - Model: vgg16_int8

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: vgg16_int8Core i3 7100v5.9v5.9 Try 280160240320400SE +/- 0.15, N = 3SE +/- 1.60, N = 3SE +/- 1.16, N = 3381.44382.21382.10MIN: 380.34 / MAX: 393.15MIN: 378.27 / MAX: 413.65MIN: 379.28 / MAX: 395.551. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

System GZIP Decompression

OpenBenchmarking.orgSeconds, Fewer Is BetterSystem GZIP DecompressionCore i3 7100v5.9v5.9 Try 20.74271.48542.22812.97083.7135SE +/- 0.034, N = 14SE +/- 0.034, N = 13SE +/- 0.038, N = 133.2953.2963.301

NCNN

Target: CPU - Model: resnet50_int8

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: resnet50_int8Core i3 7100v5.9v5.9 Try 24080120160200SE +/- 0.07, N = 3SE +/- 0.04, N = 3SE +/- 0.04, N = 3189.78189.46189.50MIN: 189.33 / MAX: 251.14MIN: 189.15 / MAX: 198.97MIN: 189.17 / MAX: 199.591. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: googlenet_int8

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: googlenet_int8Core i3 7100v5.9v5.9 Try 220406080100SE +/- 0.01, N = 3SE +/- 0.08, N = 3SE +/- 0.04, N = 386.5986.5186.45MIN: 86.39 / MAX: 97.01MIN: 86.2 / MAX: 143.65MIN: 86.22 / MAX: 96.831. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

NCNN

Target: CPU - Model: squeezenet_int8

OpenBenchmarking.orgms, Fewer Is BetterNCNN 20200916Target: CPU - Model: squeezenet_int8Core i3 7100v5.9v5.9 Try 2714212835SE +/- 0.04, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 331.4131.3631.37MIN: 31.27 / MAX: 41.76MIN: 31.2 / MAX: 41.44MIN: 31.24 / MAX: 41.781. (CXX) g++ options: -O3 -rdynamic -lgomp -lpthread

System ZLIB Decompression

OpenBenchmarking.orgms, Fewer Is BetterSystem ZLIB Decompression 1.2.7Core i3 7100v5.9v5.9 Try 2400800120016002000SE +/- 10.94, N = 10SE +/- 8.07, N = 10SE +/- 8.09, N = 101920.461918.091919.28

WebP Image Encode

Encode Settings: Default

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: DefaultCore i3 7100v5.9v5.9 Try 20.38840.77681.16521.55361.942SE +/- 0.001, N = 3SE +/- 0.001, N = 3SE +/- 0.001, N = 31.7251.7241.7261. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

WebP Image Encode

Encode Settings: Quality 100

OpenBenchmarking.orgEncode Time - Seconds, Fewer Is BetterWebP Image Encode 1.1Encode Settings: Quality 100Core i3 7100v5.9v5.9 Try 20.61111.22221.83332.44443.0555SE +/- 0.001, N = 3SE +/- 0.002, N = 3SE +/- 0.001, N = 32.7162.7142.7131. (CC) gcc options: -fvisibility=hidden -O2 -pthread -lm -ljpeg -lpng16 -ltiff

AOM AV1

Encoder Mode: Speed 6 Realtime

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 RealtimeCore i3 7100v5.9v5.9 Try 23691215SE +/- 0.00, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 310.2310.2210.231. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

TensorFlow Lite

Model: NASNet Mobile

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileCore i3 7100v5.9v5.9 Try 2140K280K420K560K700KSE +/- 216.58, N = 3SE +/- 70.90, N = 3SE +/- 111.30, N = 3655242655610655734

dcraw

RAW To PPM Image Conversion

OpenBenchmarking.orgSeconds, Fewer Is BetterdcrawRAW To PPM Image ConversionCore i3 7100v5.9v5.9 Try 21020304050SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.03, N = 342.7042.7242.711. (CC) gcc options: -lm

TensorFlow Lite

Model: Mobilenet Float

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatCore i3 7100v5.9v5.9 Try 2130K260K390K520K650KSE +/- 358.36, N = 3SE +/- 52.17, N = 3SE +/- 50.94, N = 3623710623386623466

TensorFlow Lite

Model: Mobilenet Quant

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantCore i3 7100v5.9v5.9 Try 2140K280K420K560K700KSE +/- 113.86, N = 3SE +/- 92.16, N = 3SE +/- 82.78, N = 3640759640951641005

TensorFlow Lite

Model: SqueezeNet

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetCore i3 7100v5.9v5.9 Try 2200K400K600K800K1000KSE +/- 17.04, N = 3SE +/- 125.13, N = 3SE +/- 123.30, N = 3915396915608915627

TensorFlow Lite

Model: Inception ResNet V2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Core i3 7100v5.9v5.9 Try 23M6M9M12M15MSE +/- 328.30, N = 3SE +/- 762.31, N = 3SE +/- 600.93, N = 3119755671197473311973867

TensorFlow Lite

Model: Inception V4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Core i3 7100v5.9v5.9 Try 23M6M9M12M15MSE +/- 120.19, N = 3SE +/- 523.87, N = 3SE +/- 1153.26, N = 3132304671323156713230000

AOM AV1

Encoder Mode: Speed 6 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 6 Two-PassCore i3 7100v5.9v5.9 Try 20.52431.04861.57292.09722.6215SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 32.332.332.331. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

AOM AV1

Encoder Mode: Speed 4 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 4 Two-PassCore i3 7100v5.9v5.9 Try 20.32630.65260.97891.30521.6315SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 31.451.451.451. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

AOM AV1

Encoder Mode: Speed 0 Two-Pass

OpenBenchmarking.orgFrames Per Second, More Is BetterAOM AV1 2.0Encoder Mode: Speed 0 Two-PassCore i3 7100v5.9v5.9 Try 20.0360.0720.1080.1440.18SE +/- 0.00, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 30.160.160.161. (CXX) g++ options: -O3 -std=c++11 -U_FORTIFY_SOURCE -lm -lpthread

Phoronix Test Suite v10.8.4