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.
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phoronix-test-suite benchmark 2008300-FI-COREI5LAP35 Core i5 Laptop - Phoronix Test Suite 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&rdt&grs .
Core i5 Laptop Processor Motherboard Chipset Memory Disk Graphics Audio Network OS Kernel Desktop Display Server Display Driver OpenGL Compiler File-System Screen Resolution Run 1 Run 2 Run 3 Intel Core i5-5300U @ 2.90GHz (2 Cores / 4 Threads) HP 2216 (M71 Ver. 01.27 BIOS) Intel Broadwell-U-OPI 8GB 256GB MTFDDAK256MAM-1K Intel HD 5500 3GB (900MHz) Intel Broadwell-U Audio Intel I218-LM + Intel 7265 Ubuntu 20.04 5.4.0-33-generic (x86_64) GNOME Shell 3.36.1 X Server 1.20.8 modesetting 1.20.8 4.6 Mesa 20.0.4 GCC 9.3.0 ext4 1366x768 GNOME Shell 3.36.4 OpenBenchmarking.org Compiler 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: 0x2e Python Details - Python 3.8.2 Security 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 Laptop onednn: Matrix Multiply Batch Shapes Transformer - f32 - CPU rodinia: OpenMP CFD Solver onednn: Recurrent Neural Network Training - f32 - CPU onednn: Convolution Batch Shapes Auto - f32 - CPU ecp-candle: P1B2 avifenc: 0 onednn: IP Batch All - f32 - CPU onednn: IP Batch 1D - f32 - CPU onednn: Recurrent Neural Network Inference - f32 - CPU ecp-candle: P3B1 build-apache: Time To Compile geekbench: CPU Single Core - Face Detection build-linux-kernel: Time To Compile avifenc: 2 rodinia: OpenMP HotSpot3D geekbench: CPU Multi Core - Face Detection geekbench: CPU Multi Core - Horizon Detection rodinia: OpenMP Streamcluster onednn: Deconvolution Batch deconv_3d - f32 - CPU daphne: OpenMP - Points2Image geekbench: CPU Single Core - Horizon Detection geekbench: CPU Single Core onednn: Deconvolution Batch deconv_1d - f32 - CPU rodinia: OpenMP Leukocyte tensorflow-lite: Mobilenet Quant daphne: OpenMP - Euclidean Cluster geekbench: CPU Multi Core - Gaussian Blur geekbench: CPU Multi Core montage: Mosaic of M17, K band, 1.5 deg x 1.5 deg astcenc: Thorough astcenc: Medium avifenc: 10 tensorflow-lite: Inception V4 astcenc: Fast astcenc: Exhaustive daphne: OpenMP - NDT Mapping namd: ATPase Simulation - 327,506 Atoms tensorflow-lite: NASNet Mobile tensorflow-lite: SqueezeNet avifenc: 8 tensorflow-lite: Inception ResNet V2 tensorflow-lite: Mobilenet Float geekbench: CPU Single Core - Gaussian Blur rodinia: OpenMP LavaMD Run 1 Run 2 Run 3 10.7684 124.405 1554.43 34.9274 74.838 489.475 307.090 23.2964 810.738 2586.135 74.292 5.86 567.770 284.941 226.859 12.7 43.2 47.078 37.9406 14193.871976404 19.3 789 27.8569 645.608 947522 436.88 77.8 1633 122.011 196.20 28.63 14.734 20827933 10.49 1600.33 427.68 11.13000 1007580 1439837 16.642 18852000 976575 32.8 1838.834 10.2545 116.727 1532.18 33.8130 72.77 476.985 304.020 22.9018 811.325 2551.636 73.879 5.92 564.364 283.327 225.704 12.6 42.9 46.792 37.7286 14197.078561502 19.2 785 27.7555 643.287 944925 436.58 77.6 1630 122.223 196.44 28.65 14.740 20848367 10.49 1601.44 427.55 11.13717 1007653 1440517 16.641 18851967 976629 32.1 1918.784 11.0660 116.121 1628.52 35.0953 74.816 477.142 311.404 22.7773 824.358 2549.293 74.871 5.89 569.985 282.661 227.506 12.7 43.1 47.022 37.8419 14118.098715708 19.3 785 27.7758 643.340 944543 435.60 77.8 1630 122.073 196.17 28.62 14.749 20848033 10.50 1601.56 427.87 11.12933 1008210 1439717 16.648 18853200 976604 31.7 1841.514 OpenBenchmarking.org
oneDNN Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU Run 1 Run 2 Run 3 3 6 9 12 15 SE +/- 0.04, N = 3 SE +/- 0.02, N = 3 SE +/- 0.12, N = 15 10.77 10.25 11.07 MIN: 10.23 MIN: 9.98 MIN: 10.02 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Rodinia Test: OpenMP CFD Solver OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP CFD Solver Run 1 Run 2 Run 3 30 60 90 120 150 SE +/- 0.50, N = 3 SE +/- 1.05, N = 3 SE +/- 1.09, N = 3 124.41 116.73 116.12 1. (CXX) g++ options: -O2 -lOpenCL
oneDNN Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU Run 1 Run 2 Run 3 300 600 900 1200 1500 SE +/- 23.16, N = 3 SE +/- 9.40, N = 3 SE +/- 19.04, N = 15 1554.43 1532.18 1628.52 MIN: 1515.46 MIN: 1501.04 MIN: 1523.42 1. (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.org ms, Fewer Is Better oneDNN 1.5 Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU Run 1 Run 2 Run 3 8 16 24 32 40 SE +/- 0.14, N = 3 SE +/- 0.13, N = 3 SE +/- 0.17, N = 3 34.93 33.81 35.10 MIN: 34.35 MIN: 33.41 MIN: 34.36 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
ECP-CANDLE Benchmark: P1B2 OpenBenchmarking.org Seconds, Fewer Is Better ECP-CANDLE 0.3 Benchmark: P1B2 Run 1 Run 2 Run 3 20 40 60 80 100 74.84 72.77 74.82
libavif avifenc Encoder Speed: 0 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 0 Run 1 Run 2 Run 3 110 220 330 440 550 SE +/- 5.93, N = 3 SE +/- 0.60, N = 3 SE +/- 0.39, N = 3 489.48 476.99 477.14 1. (CXX) g++ options: -O3 -fPIC
oneDNN Harness: IP Batch All - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch All - Data Type: f32 - Engine: CPU Run 1 Run 2 Run 3 70 140 210 280 350 SE +/- 0.82, N = 3 SE +/- 0.58, N = 3 SE +/- 1.46, N = 3 307.09 304.02 311.40 MIN: 301.63 MIN: 300.13 MIN: 302.3 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
oneDNN Harness: IP Batch 1D - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: IP Batch 1D - Data Type: f32 - Engine: CPU Run 1 Run 2 Run 3 6 12 18 24 30 SE +/- 0.37, N = 3 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 23.30 22.90 22.78 MIN: 21.98 MIN: 22.05 MIN: 22.01 1. (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.org ms, Fewer Is Better oneDNN 1.5 Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU Run 1 Run 2 Run 3 200 400 600 800 1000 SE +/- 3.35, N = 3 SE +/- 7.02, N = 3 SE +/- 4.82, N = 3 810.74 811.33 824.36 MIN: 803.3 MIN: 798.93 MIN: 810.25 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
ECP-CANDLE Benchmark: P3B1 OpenBenchmarking.org Seconds, Fewer Is Better ECP-CANDLE 0.3 Benchmark: P3B1 Run 1 Run 2 Run 3 600 1200 1800 2400 3000 2586.14 2551.64 2549.29
Timed Apache Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Apache Compilation 2.4.41 Time To Compile Run 1 Run 2 Run 3 20 40 60 80 100 SE +/- 0.07, N = 3 SE +/- 0.05, N = 3 SE +/- 0.04, N = 3 74.29 73.88 74.87
Geekbench Test: CPU Single Core - Face Detection OpenBenchmarking.org images/sec, More Is Better Geekbench 5 Test: CPU Single Core - Face Detection Run 1 Run 2 Run 3 1.332 2.664 3.996 5.328 6.66 SE +/- 0.07, N = 3 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 5.86 5.92 5.89
Timed Linux Kernel Compilation Time To Compile OpenBenchmarking.org Seconds, Fewer Is Better Timed Linux Kernel Compilation 5.4 Time To Compile Run 1 Run 2 Run 3 120 240 360 480 600 SE +/- 1.11, N = 3 SE +/- 1.24, N = 3 SE +/- 1.19, N = 3 567.77 564.36 569.99
libavif avifenc Encoder Speed: 2 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 2 Run 1 Run 2 Run 3 60 120 180 240 300 SE +/- 0.43, N = 3 SE +/- 0.11, N = 3 SE +/- 0.03, N = 3 284.94 283.33 282.66 1. (CXX) g++ options: -O3 -fPIC
Rodinia Test: OpenMP HotSpot3D OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP HotSpot3D Run 1 Run 2 Run 3 50 100 150 200 250 SE +/- 1.00, N = 3 SE +/- 0.94, N = 3 SE +/- 0.26, N = 3 226.86 225.70 227.51 1. (CXX) g++ options: -O2 -lOpenCL
Geekbench Test: CPU Multi Core - Face Detection OpenBenchmarking.org images/sec, More Is Better Geekbench 5 Test: CPU Multi Core - Face Detection Run 1 Run 2 Run 3 3 6 9 12 15 SE +/- 0.00, N = 3 SE +/- 0.03, N = 3 SE +/- 0.03, N = 3 12.7 12.6 12.7
Geekbench Test: CPU Multi Core - Horizon Detection OpenBenchmarking.org Gpixels/sec, More Is Better Geekbench 5 Test: CPU Multi Core - Horizon Detection Run 1 Run 2 Run 3 10 20 30 40 50 SE +/- 0.03, N = 3 SE +/- 0.21, N = 3 SE +/- 0.00, N = 3 43.2 42.9 43.1
Rodinia Test: OpenMP Streamcluster OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Streamcluster Run 1 Run 2 Run 3 11 22 33 44 55 SE +/- 0.02, N = 3 SE +/- 0.03, N = 3 SE +/- 0.05, N = 3 47.08 46.79 47.02 1. (CXX) g++ options: -O2 -lOpenCL
oneDNN Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU Run 1 Run 2 Run 3 9 18 27 36 45 SE +/- 0.11, N = 3 SE +/- 0.01, N = 3 SE +/- 0.04, N = 3 37.94 37.73 37.84 MIN: 37.65 MIN: 37.58 MIN: 37.62 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Points2Image OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Points2Image Run 1 Run 2 Run 3 3K 6K 9K 12K 15K SE +/- 20.11, N = 3 SE +/- 6.44, N = 3 SE +/- 7.85, N = 3 14193.87 14197.08 14118.10 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp
Geekbench Test: CPU Single Core - Horizon Detection OpenBenchmarking.org Gpixels/sec, More Is Better Geekbench 5 Test: CPU Single Core - Horizon Detection Run 1 Run 2 Run 3 5 10 15 20 25 SE +/- 0.06, N = 3 SE +/- 0.09, N = 3 SE +/- 0.03, N = 3 19.3 19.2 19.3
Geekbench Test: CPU Single Core OpenBenchmarking.org Score, More Is Better Geekbench 5 Test: CPU Single Core Run 1 Run 2 Run 3 200 400 600 800 1000 SE +/- 0.67, N = 3 SE +/- 0.58, N = 3 SE +/- 1.00, N = 3 789 785 785
oneDNN Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU OpenBenchmarking.org ms, Fewer Is Better oneDNN 1.5 Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU Run 1 Run 2 Run 3 7 14 21 28 35 SE +/- 0.05, N = 3 SE +/- 0.03, N = 3 SE +/- 0.11, N = 3 27.86 27.76 27.78 MIN: 27.51 MIN: 27.42 MIN: 27.39 1. (CXX) g++ options: -O3 -march=native -std=c++11 -fopenmp -msse4.1 -fPIC -pie -lpthread -ldl
Rodinia Test: OpenMP Leukocyte OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP Leukocyte Run 1 Run 2 Run 3 140 280 420 560 700 SE +/- 1.40, N = 3 SE +/- 1.18, N = 3 SE +/- 0.92, N = 3 645.61 643.29 643.34 1. (CXX) g++ options: -O2 -lOpenCL
TensorFlow Lite Model: Mobilenet Quant OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Quant Run 1 Run 2 Run 3 200K 400K 600K 800K 1000K SE +/- 2867.44, N = 3 SE +/- 231.29, N = 3 SE +/- 262.66, N = 3 947522 944925 944543
Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Euclidean Cluster OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: Euclidean Cluster Run 1 Run 2 Run 3 90 180 270 360 450 SE +/- 0.43, N = 3 SE +/- 0.77, N = 3 SE +/- 0.03, N = 3 436.88 436.58 435.60 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp
Geekbench Test: CPU Multi Core - Gaussian Blur OpenBenchmarking.org Mpixels/sec, More Is Better Geekbench 5 Test: CPU Multi Core - Gaussian Blur Run 1 Run 2 Run 3 20 40 60 80 100 SE +/- 0.19, N = 3 SE +/- 0.15, N = 3 SE +/- 0.18, N = 3 77.8 77.6 77.8
Geekbench Test: CPU Multi Core OpenBenchmarking.org Score, More Is Better Geekbench 5 Test: CPU Multi Core Run 1 Run 2 Run 3 400 800 1200 1600 2000 SE +/- 1.33, N = 3 SE +/- 2.19, N = 3 1633 1630 1630
Montage Astronomical Image Mosaic Engine Mosaic of M17, K band, 1.5 deg x 1.5 deg OpenBenchmarking.org Seconds, Fewer Is Better Montage Astronomical Image Mosaic Engine 6.0 Mosaic of M17, K band, 1.5 deg x 1.5 deg Run 1 Run 2 Run 3 30 60 90 120 150 SE +/- 0.11, N = 3 SE +/- 0.09, N = 3 SE +/- 0.05, N = 3 122.01 122.22 122.07 1. (CC) gcc options: -std=gnu99 -lcfitsio -lm -O2
ASTC Encoder Preset: Thorough OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Thorough Run 1 Run 2 Run 3 40 80 120 160 200 SE +/- 0.12, N = 3 SE +/- 0.20, N = 3 SE +/- 0.05, N = 3 196.20 196.44 196.17 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
ASTC Encoder Preset: Medium OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Medium Run 1 Run 2 Run 3 7 14 21 28 35 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 28.63 28.65 28.62 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
libavif avifenc Encoder Speed: 10 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 10 Run 1 Run 2 Run 3 4 8 12 16 20 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 14.73 14.74 14.75 1. (CXX) g++ options: -O3 -fPIC
TensorFlow Lite Model: Inception V4 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception V4 Run 1 Run 2 Run 3 4M 8M 12M 16M 20M SE +/- 3349.79, N = 3 SE +/- 19070.95, N = 3 SE +/- 17197.80, N = 3 20827933 20848367 20848033
ASTC Encoder Preset: Fast OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Fast Run 1 Run 2 Run 3 3 6 9 12 15 SE +/- 0.01, N = 3 SE +/- 0.00, N = 3 SE +/- 0.00, N = 3 10.49 10.49 10.50 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
ASTC Encoder Preset: Exhaustive OpenBenchmarking.org Seconds, Fewer Is Better ASTC Encoder 2.0 Preset: Exhaustive Run 1 Run 2 Run 3 300 600 900 1200 1500 SE +/- 1.31, N = 3 SE +/- 0.24, N = 3 SE +/- 0.83, N = 3 1600.33 1601.44 1601.56 1. (CXX) g++ options: -std=c++14 -fvisibility=hidden -O3 -flto -mfpmath=sse -mavx2 -mpopcnt -lpthread
Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: NDT Mapping OpenBenchmarking.org Test Cases Per Minute, More Is Better Darmstadt Automotive Parallel Heterogeneous Suite Backend: OpenMP - Kernel: NDT Mapping Run 1 Run 2 Run 3 90 180 270 360 450 SE +/- 0.20, N = 3 SE +/- 0.32, N = 3 SE +/- 0.72, N = 3 427.68 427.55 427.87 1. (CXX) g++ options: -O3 -std=c++11 -fopenmp
NAMD ATPase Simulation - 327,506 Atoms OpenBenchmarking.org days/ns, Fewer Is Better NAMD 2.14 ATPase Simulation - 327,506 Atoms Run 1 Run 2 Run 3 3 6 9 12 15 SE +/- 0.02, N = 3 SE +/- 0.00, N = 3 SE +/- 0.02, N = 3 11.13 11.14 11.13
TensorFlow Lite Model: NASNet Mobile OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: NASNet Mobile Run 1 Run 2 Run 3 200K 400K 600K 800K 1000K SE +/- 283.08, N = 3 SE +/- 255.36, N = 3 SE +/- 152.75, N = 3 1007580 1007653 1008210
TensorFlow Lite Model: SqueezeNet OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: SqueezeNet Run 1 Run 2 Run 3 300K 600K 900K 1200K 1500K SE +/- 221.84, N = 3 SE +/- 632.46, N = 3 SE +/- 29.63, N = 3 1439837 1440517 1439717
libavif avifenc Encoder Speed: 8 OpenBenchmarking.org Seconds, Fewer Is Better libavif avifenc 0.7.3 Encoder Speed: 8 Run 1 Run 2 Run 3 4 8 12 16 20 SE +/- 0.02, N = 3 SE +/- 0.01, N = 3 SE +/- 0.02, N = 3 16.64 16.64 16.65 1. (CXX) g++ options: -O3 -fPIC
TensorFlow Lite Model: Inception ResNet V2 OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Inception ResNet V2 Run 1 Run 2 Run 3 4M 8M 12M 16M 20M SE +/- 1331.67, N = 3 SE +/- 5166.99, N = 3 SE +/- 1823.00, N = 3 18852000 18851967 18853200
TensorFlow Lite Model: Mobilenet Float OpenBenchmarking.org Microseconds, Fewer Is Better TensorFlow Lite 2020-08-23 Model: Mobilenet Float Run 1 Run 2 Run 3 200K 400K 600K 800K 1000K SE +/- 151.72, N = 3 SE +/- 93.51, N = 3 SE +/- 73.18, N = 3 976575 976629 976604
Geekbench Test: CPU Single Core - Gaussian Blur OpenBenchmarking.org Mpixels/sec, More Is Better Geekbench 5 Test: CPU Single Core - Gaussian Blur Run 1 Run 2 Run 3 8 16 24 32 40 SE +/- 1.39, N = 3 SE +/- 0.37, N = 3 SE +/- 0.34, N = 3 32.8 32.1 31.7
Rodinia Test: OpenMP LavaMD OpenBenchmarking.org Seconds, Fewer Is Better Rodinia 3.1 Test: OpenMP LavaMD Run 1 Run 2 Run 3 400 800 1200 1600 2000 SE +/- 1.35, N = 3 SE +/- 64.46, N = 9 SE +/- 1.64, N = 3 1838.83 1918.78 1841.51 1. (CXX) g++ options: -O2 -lOpenCL
Phoronix Test Suite v10.8.4