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&sro&grr.

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 LavaMDastcenc: Exhaustiveecp-candle: P3B1rodinia: OpenMP Leukocytebuild-linux-kernel: Time To Compilenamd: ATPase Simulation - 327,506 Atomsavifenc: 0avifenc: 2rodinia: OpenMP HotSpot3Dastcenc: Thoroughtensorflow-lite: Inception V4tensorflow-lite: Inception ResNet V2daphne: OpenMP - Points2Imagemontage: Mosaic of M17, K band, 1.5 deg x 1.5 degrodinia: OpenMP CFD Solvergeekbench: CPU Multi Core - Horizon Detectiongeekbench: CPU Multi Core - Face Detectiongeekbench: CPU Multi Core - Gaussian Blurgeekbench: CPU Multi Coreonednn: Recurrent Neural Network Training - f32 - CPUbuild-apache: Time To Compiletensorflow-lite: SqueezeNetgeekbench: CPU Single Core - Horizon Detectiongeekbench: CPU Single Core - Face Detectiongeekbench: CPU Single Core - Gaussian Blurgeekbench: CPU Single Coretensorflow-lite: Mobilenet Floattensorflow-lite: NASNet Mobiletensorflow-lite: Mobilenet Quantonednn: IP Batch All - f32 - CPUdaphne: OpenMP - Euclidean Clusterrodinia: OpenMP Streamclusterdaphne: OpenMP - NDT Mappingonednn: Recurrent Neural Network Inference - f32 - CPUastcenc: Mediumonednn: Matrix Multiply Batch Shapes Transformer - f32 - CPUecp-candle: P1B2onednn: Deconvolution Batch deconv_1d - f32 - CPUavifenc: 8astcenc: Fastonednn: IP Batch 1D - f32 - CPUavifenc: 10onednn: Convolution Batch Shapes Auto - f32 - CPUonednn: Deconvolution Batch deconv_3d - f32 - CPURun 1Run 2Run 31838.8341600.332586.135645.608567.77011.13000489.475284.941226.859196.20208279331885200014193.871976404122.011124.40543.212.777.816331554.4374.292143983719.35.8632.87899765751007580947522307.090436.8847.078427.68810.73828.6310.768474.83827.856916.64210.4923.296414.73434.927437.94061918.7841601.442551.636643.287564.36411.13717476.985283.327225.704196.44208483671885196714197.078561502122.223116.72742.912.677.616301532.1873.879144051719.25.9232.17859766291007653944925304.020436.5846.792427.55811.32528.6510.254572.7727.755516.64110.4922.901814.74033.813037.72861841.5141601.562549.293643.340569.98511.12933477.142282.661227.506196.17208480331885320014118.098715708122.073116.12143.112.777.816301628.5274.871143971719.35.8931.77859766041008210944543311.404435.6047.022427.87824.35828.6211.066074.81627.775816.64810.5022.777314.74935.095337.8419OpenBenchmarking.org

Rodinia

Test: OpenMP LavaMD

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LavaMDRun 1Run 2Run 3400800120016002000SE +/- 1.35, N = 3SE +/- 64.46, N = 9SE +/- 1.64, N = 31838.831918.781841.511. (CXX) g++ options: -O2 -lOpenCL

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: P3B1

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P3B1Run 1Run 2Run 360012001800240030002586.142551.642549.29

Rodinia

Test: OpenMP Leukocyte

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP LeukocyteRun 1Run 2Run 3140280420560700SE +/- 1.40, N = 3SE +/- 1.18, N = 3SE +/- 0.92, N = 3645.61643.29643.341. (CXX) g++ options: -O2 -lOpenCL

Timed Linux Kernel Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Linux Kernel Compilation 5.4Time To CompileRun 1Run 2Run 3120240360480600SE +/- 1.11, N = 3SE +/- 1.24, N = 3SE +/- 1.19, N = 3567.77564.36569.99

NAMD

ATPase Simulation - 327,506 Atoms

OpenBenchmarking.orgdays/ns, Fewer Is BetterNAMD 2.14ATPase Simulation - 327,506 AtomsRun 1Run 2Run 33691215SE +/- 0.02, N = 3SE +/- 0.00, N = 3SE +/- 0.02, N = 311.1311.1411.13

libavif avifenc

Encoder Speed: 0

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 0Run 1Run 2Run 3110220330440550SE +/- 5.93, N = 3SE +/- 0.60, N = 3SE +/- 0.39, N = 3489.48476.99477.141. (CXX) g++ options: -O3 -fPIC

libavif avifenc

Encoder Speed: 2

OpenBenchmarking.orgSeconds, Fewer Is Betterlibavif avifenc 0.7.3Encoder Speed: 2Run 1Run 2Run 360120180240300SE +/- 0.43, N = 3SE +/- 0.11, N = 3SE +/- 0.03, N = 3284.94283.33282.661. (CXX) g++ options: -O3 -fPIC

Rodinia

Test: OpenMP HotSpot3D

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP HotSpot3DRun 1Run 2Run 350100150200250SE +/- 1.00, N = 3SE +/- 0.94, N = 3SE +/- 0.26, N = 3226.86225.70227.511. (CXX) g++ options: -O2 -lOpenCL

ASTC Encoder

Preset: Thorough

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: ThoroughRun 1Run 2Run 34080120160200SE +/- 0.12, N = 3SE +/- 0.20, N = 3SE +/- 0.05, N = 3196.20196.44196.171. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

TensorFlow Lite

Model: Inception V4

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception V4Run 1Run 2Run 34M8M12M16M20MSE +/- 3349.79, N = 3SE +/- 19070.95, N = 3SE +/- 17197.80, N = 3208279332084836720848033

TensorFlow Lite

Model: Inception ResNet V2

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Inception ResNet V2Run 1Run 2Run 34M8M12M16M20MSE +/- 1331.67, N = 3SE +/- 5166.99, N = 3SE +/- 1823.00, N = 3188520001885196718853200

Darmstadt Automotive Parallel Heterogeneous Suite

Backend: OpenMP - Kernel: Points2Image

OpenBenchmarking.orgTest Cases Per Minute, More Is BetterDarmstadt Automotive Parallel Heterogeneous SuiteBackend: OpenMP - Kernel: Points2ImageRun 1Run 2Run 33K6K9K12K15KSE +/- 20.11, N = 3SE +/- 6.44, N = 3SE +/- 7.85, N = 314193.8714197.0814118.101. (CXX) g++ options: -O3 -std=c++11 -fopenmp

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 2Run 3306090120150SE +/- 0.11, N = 3SE +/- 0.09, N = 3SE +/- 0.05, N = 3122.01122.22122.071. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2

Rodinia

Test: OpenMP CFD Solver

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP CFD SolverRun 1Run 2Run 3306090120150SE +/- 0.50, N = 3SE +/- 1.05, N = 3SE +/- 1.09, N = 3124.41116.73116.121. (CXX) g++ options: -O2 -lOpenCL

Geekbench

Test: CPU Multi Core - Horizon Detection

OpenBenchmarking.orgGpixels/sec, More Is BetterGeekbench 5Test: CPU Multi Core - Horizon DetectionRun 1Run 2Run 31020304050SE +/- 0.03, N = 3SE +/- 0.21, N = 3SE +/- 0.00, N = 343.242.943.1

Geekbench

Test: CPU Multi Core - Face Detection

OpenBenchmarking.orgimages/sec, More Is BetterGeekbench 5Test: CPU Multi Core - Face DetectionRun 1Run 2Run 33691215SE +/- 0.00, N = 3SE +/- 0.03, N = 3SE +/- 0.03, N = 312.712.612.7

Geekbench

Test: CPU Multi Core - Gaussian Blur

OpenBenchmarking.orgMpixels/sec, More Is BetterGeekbench 5Test: CPU Multi Core - Gaussian BlurRun 1Run 2Run 320406080100SE +/- 0.19, N = 3SE +/- 0.15, N = 3SE +/- 0.18, N = 377.877.677.8

Geekbench

Test: CPU Multi Core

OpenBenchmarking.orgScore, More Is BetterGeekbench 5Test: CPU Multi CoreRun 1Run 2Run 3400800120016002000SE +/- 1.33, N = 3SE +/- 2.19, N = 3163316301630

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 1Run 2Run 330060090012001500SE +/- 23.16, N = 3SE +/- 9.40, N = 3SE +/- 19.04, N = 151554.431532.181628.52MIN: 1515.46MIN: 1501.04MIN: 1523.421. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Timed Apache Compilation

Time To Compile

OpenBenchmarking.orgSeconds, Fewer Is BetterTimed Apache Compilation 2.4.41Time To CompileRun 1Run 2Run 320406080100SE +/- 0.07, N = 3SE +/- 0.05, N = 3SE +/- 0.04, N = 374.2973.8874.87

TensorFlow Lite

Model: SqueezeNet

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: SqueezeNetRun 1Run 2Run 3300K600K900K1200K1500KSE +/- 221.84, N = 3SE +/- 632.46, N = 3SE +/- 29.63, N = 3143983714405171439717

Geekbench

Test: CPU Single Core - Horizon Detection

OpenBenchmarking.orgGpixels/sec, More Is BetterGeekbench 5Test: CPU Single Core - Horizon DetectionRun 1Run 2Run 3510152025SE +/- 0.06, N = 3SE +/- 0.09, N = 3SE +/- 0.03, N = 319.319.219.3

Geekbench

Test: CPU Single Core - Face Detection

OpenBenchmarking.orgimages/sec, More Is BetterGeekbench 5Test: CPU Single Core - Face DetectionRun 1Run 2Run 31.3322.6643.9965.3286.66SE +/- 0.07, N = 3SE +/- 0.01, N = 3SE +/- 0.00, N = 35.865.925.89

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

OpenBenchmarking.orgScore, More Is BetterGeekbench 5Test: CPU Single CoreRun 1Run 2Run 32004006008001000SE +/- 0.67, N = 3SE +/- 0.58, N = 3SE +/- 1.00, N = 3789785785

TensorFlow Lite

Model: Mobilenet Float

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet FloatRun 1Run 2Run 3200K400K600K800K1000KSE +/- 151.72, N = 3SE +/- 93.51, N = 3SE +/- 73.18, N = 3976575976629976604

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 Quant

OpenBenchmarking.orgMicroseconds, Fewer Is BetterTensorFlow Lite 2020-08-23Model: Mobilenet QuantRun 1Run 2Run 3200K400K600K800K1000KSE +/- 2867.44, N = 3SE +/- 231.29, N = 3SE +/- 262.66, N = 3947522944925944543

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 1Run 2Run 370140210280350SE +/- 0.82, N = 3SE +/- 0.58, N = 3SE +/- 1.46, N = 3307.09304.02311.40MIN: 301.63MIN: 300.13MIN: 302.31. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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

Rodinia

Test: OpenMP Streamcluster

OpenBenchmarking.orgSeconds, Fewer Is BetterRodinia 3.1Test: OpenMP StreamclusterRun 1Run 2Run 31122334455SE +/- 0.02, N = 3SE +/- 0.03, N = 3SE +/- 0.05, N = 347.0846.7947.021. (CXX) g++ options: -O2 -lOpenCL

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 1Run 2Run 390180270360450SE +/- 0.20, N = 3SE +/- 0.32, N = 3SE +/- 0.72, N = 3427.68427.55427.871. (CXX) g++ options: -O3 -std=c++11 -fopenmp

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

ASTC Encoder

Preset: Medium

OpenBenchmarking.orgSeconds, Fewer Is BetterASTC Encoder 2.0Preset: MediumRun 1Run 2Run 3714212835SE +/- 0.01, N = 3SE +/- 0.02, N = 3SE +/- 0.01, N = 328.6328.6528.621. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread

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 1Run 2Run 33691215SE +/- 0.04, N = 3SE +/- 0.02, N = 3SE +/- 0.12, N = 1510.7710.2511.07MIN: 10.23MIN: 9.98MIN: 10.021. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

ECP-CANDLE

Benchmark: P1B2

OpenBenchmarking.orgSeconds, Fewer Is BetterECP-CANDLE 0.3Benchmark: P1B2Run 1Run 2Run 32040608010074.8472.7774.82

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 1Run 2Run 3714212835SE +/- 0.05, N = 3SE +/- 0.03, N = 3SE +/- 0.11, N = 327.8627.7627.78MIN: 27.51MIN: 27.42MIN: 27.391. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

libavif avifenc

Encoder Speed: 8

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

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

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 1Run 2Run 3612182430SE +/- 0.37, N = 3SE +/- 0.06, N = 3SE +/- 0.09, N = 323.3022.9022.78MIN: 21.98MIN: 22.05MIN: 22.011. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

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

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 1Run 2Run 3816243240SE +/- 0.14, N = 3SE +/- 0.13, N = 3SE +/- 0.17, N = 334.9333.8135.10MIN: 34.35MIN: 33.41MIN: 34.361. (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 1Run 2Run 3918273645SE +/- 0.11, N = 3SE +/- 0.01, N = 3SE +/- 0.04, N = 337.9437.7337.84MIN: 37.65MIN: 37.58MIN: 37.621. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl

Phoronix Test Suite v10.8.4