Core i5 Laptop

Intel Core i5-5300U testing with a HP 2216 (M71 Ver. 01.27 BIOS) and Intel HD 5500 3GB on Ubuntu 20.04 via the Phoronix Test Suite.

HTML result view exported from: https://openbenchmarking.org/result/2008300-FI-COREI5LAP35&sor.

Core i5 LaptopProcessorMotherboardChipsetMemoryDiskGraphicsAudioNetworkOSKernelDesktopDisplay ServerDisplay DriverOpenGLCompilerFile-SystemScreen ResolutionRun 1Run 2Run 3Intel Core i5-5300U @ 2.90GHz (2 Cores / 4 Threads)HP 2216 (M71 Ver. 01.27 BIOS)Intel Broadwell-U-OPI8GB256GB MTFDDAK256MAM-1KIntel HD 5500 3GB (900MHz)Intel Broadwell-U AudioIntel I218-LM + Intel 7265Ubuntu 20.045.4.0-33-generic (x86_64)GNOME Shell 3.36.1X Server 1.20.8modesetting 1.20.84.6 Mesa 20.0.4GCC 9.3.0ext41366x768GNOME Shell 3.36.4OpenBenchmarking.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: 0x2ePython Details- Python 3.8.2Security Details- itlb_multihit: KVM: Mitigation of Split huge pages + 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 + tsx_async_abort: Mitigation of Clear buffers; SMT vulnerable

Core i5 Laptoprodinia: OpenMP LavaMDrodinia: OpenMP HotSpot3Drodinia: OpenMP Leukocyterodinia: OpenMP CFD Solverrodinia: OpenMP Streamclusternamd: ATPase Simulation - 327,506 Atomsonednn: IP Batch 1D - f32 - CPUonednn: IP Batch All - f32 - CPUonednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch deconv_1d - f32 - CPUonednn: Deconvolution Batch deconv_3d - f32 - CPUonednn: Recurrent Neural Network Training - f32 - CPUonednn: Recurrent Neural Network Inference - f32 - CPUonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUavifenc: 0avifenc: 2avifenc: 8avifenc: 10build-apache: Time To Compilebuild-linux-kernel: Time To Compilemontage: Mosaic of M17, K band, 1.5 deg x 1.5 degdaphne: OpenMP - NDT Mappingdaphne: OpenMP - Points2Imagedaphne: OpenMP - Euclidean Clustertensorflow-lite: SqueezeNettensorflow-lite: Inception V4tensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Floattensorflow-lite: Mobilenet Quanttensorflow-lite: Inception ResNet V2astcenc: Fastastcenc: Mediumastcenc: Thoroughastcenc: Exhaustiveecp-candle: P1B2ecp-candle: P3B1geekbench: CPU Multi Coregeekbench: CPU Multi Core - Gaussian Blurgeekbench: CPU Multi Core - Face Detectiongeekbench: CPU Multi Core - Horizon Detectiongeekbench: CPU Single Coregeekbench: CPU Single Core - Gaussian Blurgeekbench: CPU Single Core - Face Detectiongeekbench: CPU Single Core - Horizon DetectionRun 1Run 2Run 31838.834226.859645.608124.40547.07811.1300023.2964307.09034.927427.856937.94061554.43810.73810.7684489.475284.94116.64214.73474.292567.770122.011427.6814193.871976404436.8814398372082793310075809765759475221885200010.4928.63196.201600.3374.8382586.135163377.812.743.278932.85.8619.31918.784225.704643.287116.72746.79211.1371722.9018304.02033.813027.755537.72861532.18811.32510.2545476.985283.32716.64114.74073.879564.364122.223427.5514197.078561502436.5814405172084836710076539766299449251885196710.4928.65196.441601.4472.772551.636163077.612.642.978532.15.9219.21841.514227.506643.340116.12147.02211.1293322.7773311.40435.095327.775837.84191628.52824.35811.0660477.142282.66116.64814.74974.871569.985122.073427.8714118.098715708435.6014397172084803310082109766049445431885320010.5028.62196.171601.5674.8162549.293163077.812.743.178531.75.8919.3OpenBenchmarking.org

Rodinia

Test: OpenMP LavaMD

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDRun 1Run 3Run 2400800120016002000SE +/- 1.35, N = 3SE +/- 1.64, N = 3SE +/- 64.46, N = 91838.831841.511918.781. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP HotSpot3D

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DRun 2Run 1Run 350100150200250SE +/- 0.94, N = 3SE +/- 1.00, N = 3SE +/- 0.26, N = 3225.70226.86227.511. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP Leukocyte

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteRun 2Run 3Run 1140280420560700SE +/- 1.18, N = 3SE +/- 0.92, N = 3SE +/- 1.40, N = 3643.29643.34645.611. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP CFD Solver

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverRun 3Run 2Run 1306090120150SE +/- 1.09, N = 3SE +/- 1.05, N = 3SE +/- 0.50, N = 3116.12116.73124.411. (CXX) g++ options: -O2 -lOpenCL

Rodinia

Test: OpenMP Streamcluster

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterRun 2Run 3Run 11122334455SE +/- 0.03, N = 3SE +/- 0.05, N = 3SE +/- 0.02, N = 346.7947.0247.081. (CXX) g++ options: -O2 -lOpenCL

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsRun 3Run 1Run 23691215SE +/- 0.02, N = 3SE +/- 0.02, N = 3SE +/- 0.00, N = 311.1311.1311.14

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch 1D - Data Type: f32 - Engine: CPURun 3Run 2Run 1612182430SE +/- 0.09, N = 3SE +/- 0.06, N = 3SE +/- 0.37, N = 322.7822.9023.30MIN: 22.01MIN: 22.05MIN: 21.981. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: IP Batch All - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: IP Batch All - Data Type: f32 - Engine: CPURun 2Run 1Run 370140210280350SE +/- 0.58, N = 3SE +/- 0.82, N = 3SE +/- 1.46, N = 3304.02307.09311.40MIN: 300.13MIN: 301.63MIN: 302.31. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPURun 2Run 1Run 3816243240SE +/- 0.13, N = 3SE +/- 0.14, N = 3SE +/- 0.17, N = 333.8134.9335.10MIN: 33.41MIN: 34.35MIN: 34.361. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPURun 2Run 3Run 1714212835SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.05, N = 327.7627.7827.86MIN: 27.42MIN: 27.39MIN: 27.511. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPURun 2Run 3Run 1918273645SE +/- 0.01, N = 3SE +/- 0.04, N = 3SE +/- 0.11, N = 337.7337.8437.94MIN: 37.58MIN: 37.62MIN: 37.651. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPURun 2Run 1Run 330060090012001500SE +/- 9.40, N = 3SE +/- 23.16, N = 3SE +/- 19.04, N = 151532.181554.431628.52MIN: 1501.04MIN: 1515.46MIN: 1523.421. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPURun 1Run 2Run 32004006008001000SE +/- 3.35, N = 3SE +/- 7.02, N = 3SE +/- 4.82, N = 3810.74811.33824.36MIN: 803.3MIN: 798.93MIN: 810.251. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

oneDNN

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

OpenBenchmarking.orgms, Fewer Is BetteroneDNN 1.5Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPURun 2Run 1Run 33691215SE +/- 0.02, N = 3SE +/- 0.04, N = 3SE +/- 0.12, N = 1510.2510.7711.07MIN: 9.98MIN: 10.23MIN: 10.021. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

libavif avifenc

Encoder Speed: 0

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Run 2Run 3Run 1110220330440550SE +/- 0.60, N = 3SE +/- 0.39, N = 3SE +/- 5.93, N = 3476.99477.14489.481. (CXX) g++ options: -O3 -fPIC

libavif avifenc

Encoder Speed: 2

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Run 3Run 2Run 160120180240300SE +/- 0.03, N = 3SE +/- 0.11, N = 3SE +/- 0.43, N = 3282.66283.33284.941. (CXX) g++ options: -O3 -fPIC

libavif avifenc

Encoder Speed: 8

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 8Run 2Run 1Run 348121620SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.02, N = 316.6416.6416.651. (CXX) g++ options: -O3 -fPIC

libavif avifenc

Encoder Speed: 10

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 10Run 1Run 2Run 348121620SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 314.7314.7414.751. (CXX) g++ options: -O3 -fPIC

Timed Apache Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileRun 2Run 1Run 320406080100SE +/- 0.05, N = 3SE +/- 0.07, N = 3SE +/- 0.04, N = 373.8874.2974.87

Timed Linux Kernel Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileRun 2Run 1Run 3120240360480600SE +/- 1.24, N = 3SE +/- 1.11, N = 3SE +/- 1.19, N = 3564.36567.77569.99

Montage Astronomical Image Mosaic Engine

Mosaic of M17, K band, 1.5 deg x 1.5 deg

OpenBenchmarking.orgSeconds, Fewer Is BetterMontage Astronomical Image Mosaic Engine 6.0Mosaic of M17, K band, 1.5 deg x 1.5 degRun 1Run 3Run 2306090120150SE +/- 0.11, N = 3SE +/- 0.05, N = 3SE +/- 0.09, N = 3122.01122.07122.221. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: NDT Mapping

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: NDT MappingRun 3Run 1Run 290180270360450SE +/- 0.72, N = 3SE +/- 0.20, N = 3SE +/- 0.32, N = 3427.87427.68427.551. (CXX) g++ options: -O3 -std=c++11 -fopenmp

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Points2Image

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageRun 2Run 1Run 33K6K9K12K15KSE +/- 6.44, N = 3SE +/- 20.11, N = 3SE +/- 7.85, N = 314197.0814193.8714118.101. (CXX) g++ options: -O3 -std=c++11 -fopenmp

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Euclidean Cluster

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Euclidean ClusterRun 1Run 2Run 390180270360450SE +/- 0.43, N = 3SE +/- 0.77, N = 3SE +/- 0.03, N = 3436.88436.58435.601. (CXX) g++ options: -O3 -std=c++11 -fopenmp

TensorFlow Lite

Model: SqueezeNet

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetRun 3Run 1Run 2300K600K900K1200K1500KSE +/- 29.63, N = 3SE +/- 221.84, N = 3SE +/- 632.46, N = 3143971714398371440517

TensorFlow Lite

Model: Inception V4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Run 1Run 3Run 24M8M12M16M20MSE +/- 3349.79, N = 3SE +/- 17197.80, N = 3SE +/- 19070.95, N = 3208279332084803320848367

TensorFlow Lite

Model: NASNet Mobile

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: NASNet MobileRun 1Run 2Run 3200K400K600K800K1000KSE +/- 283.08, N = 3SE +/- 255.36, N = 3SE +/- 152.75, N = 3100758010076531008210

TensorFlow Lite

Model: Mobilenet Float

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRun 1Run 3Run 2200K400K600K800K1000KSE +/- 151.72, N = 3SE +/- 73.18, N = 3SE +/- 93.51, N = 3976575976604976629

TensorFlow Lite

Model: Mobilenet Quant

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRun 3Run 2Run 1200K400K600K800K1000KSE +/- 262.66, N = 3SE +/- 231.29, N = 3SE +/- 2867.44, N = 3944543944925947522

TensorFlow Lite

Model: Inception ResNet V2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Run 2Run 1Run 34M8M12M16M20MSE +/- 5166.99, N = 3SE +/- 1331.67, N = 3SE +/- 1823.00, N = 3188519671885200018853200

ASTC Encoder

Preset: Fast

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: FastRun 1Run 2Run 33691215SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.00, N = 310.4910.4910.501. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumRun 3Run 1Run 2714212835SE +/- 0.01, N = 3SE +/- 0.01, N = 3SE +/- 0.02, N = 328.6228.6328.651. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughRun 3Run 1Run 24080120160200SE +/- 0.05, N = 3SE +/- 0.12, N = 3SE +/- 0.20, N = 3196.17196.20196.441. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ASTC Encoder

Preset: Exhaustive

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ExhaustiveRun 1Run 2Run 330060090012001500SE +/- 1.31, N = 3SE +/- 0.24, N = 3SE +/- 0.83, N = 31600.331601.441601.561. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

ECP-CANDLE

Benchmark: P1B2

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P1B2Run 2Run 3Run 12040608010072.7774.8274.84

ECP-CANDLE

Benchmark: P3B1

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P3B1Run 3Run 2Run 160012001800240030002549.292551.642586.14

Geekbench

Test: CPU Multi Core

OpenBenchmarking.orgScore, More Is BetterGeekbench 5Test: CPU Multi CoreRun 1Run 3Run 2400800120016002000SE +/- 1.33, N = 3SE +/- 2.19, N = 3163316301630

Geekbench

Test: CPU Multi Core - Gaussian Blur

OpenBenchmarking.orgMpixels/sec, More Is BetterGeekbench 5Test: CPU Multi Core - Gaussian BlurRun 3Run 1Run 220406080100SE +/- 0.18, N = 3SE +/- 0.19, N = 3SE +/- 0.15, N = 377.877.877.6

Geekbench

Test: CPU Multi Core - Face Detection

OpenBenchmarking.orgimages/sec, More Is BetterGeekbench 5Test: CPU Multi Core - Face DetectionRun 3Run 1Run 23691215SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.03, N = 312.712.712.6

Geekbench

Test: CPU Multi Core - Horizon Detection

OpenBenchmarking.orgGpixels/sec, More Is BetterGeekbench 5Test: CPU Multi Core - Horizon DetectionRun 1Run 3Run 21020304050SE +/- 0.03, N = 3SE +/- 0.00, N = 3SE +/- 0.21, N = 343.243.142.9

Geekbench

Test: CPU Single Core

OpenBenchmarking.orgScore, More Is BetterGeekbench 5Test: CPU Single CoreRun 1Run 3Run 22004006008001000SE +/- 0.67, N = 3SE +/- 1.00, N = 3SE +/- 0.58, N = 3789785785

Geekbench

Test: CPU Single Core - Gaussian Blur

OpenBenchmarking.orgMpixels/sec, More Is BetterGeekbench 5Test: CPU Single Core - Gaussian BlurRun 1Run 2Run 3816243240SE +/- 1.39, N = 3SE +/- 0.37, N = 3SE +/- 0.34, N = 332.832.131.7

Geekbench

Test: CPU Single Core - Face Detection

OpenBenchmarking.orgimages/sec, More Is BetterGeekbench 5Test: CPU Single Core - Face DetectionRun 2Run 3Run 11.3322.6643.9965.3286.66SE +/- 0.01, N = 3SE +/- 0.00, N = 3SE +/- 0.07, N = 35.925.895.86

Geekbench

Test: CPU Single Core - Horizon Detection

OpenBenchmarking.orgGpixels/sec, More Is BetterGeekbench 5Test: CPU Single Core - Horizon DetectionRun 3Run 1Run 2510152025SE +/- 0.03, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 319.319.319.2

Phoronix Test Suite v10.8.4