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.

Compare your own system(s) to this result file with the Phoronix Test Suite by running the command: phoronix-test-suite benchmark 2008300-FI-COREI5LAP35
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Run 1
August 28 2020
  7 Hours, 53 Minutes
Run 2
August 29 2020
  11 Hours, 6 Minutes
Run 3
August 29 2020
  8 Hours, 1 Minute
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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. ,,"Run 1","Run 2","Run 3" Processor,,Intel Core i5-5300U @ 2.90GHz (2 Cores / 4 Threads),Intel Core i5-5300U @ 2.90GHz (2 Cores / 4 Threads),Intel Core i5-5300U @ 2.90GHz (2 Cores / 4 Threads) Motherboard,,HP 2216 (M71 Ver. 01.27 BIOS),HP 2216 (M71 Ver. 01.27 BIOS),HP 2216 (M71 Ver. 01.27 BIOS) Chipset,,Intel Broadwell-U-OPI,Intel Broadwell-U-OPI,Intel Broadwell-U-OPI Memory,,8GB,8GB,8GB Disk,,256GB MTFDDAK256MAM-1K,256GB MTFDDAK256MAM-1K,256GB MTFDDAK256MAM-1K Graphics,,Intel HD 5500 3GB (900MHz),Intel HD 5500 3GB (900MHz),Intel HD 5500 3GB (900MHz) Audio,,Intel Broadwell-U Audio,Intel Broadwell-U Audio,Intel Broadwell-U Audio Network,,Intel I218-LM + Intel 7265,Intel I218-LM + Intel 7265,Intel I218-LM + Intel 7265 OS,,Ubuntu 20.04,Ubuntu 20.04,Ubuntu 20.04 Kernel,,5.4.0-33-generic (x86_64),5.4.0-33-generic (x86_64),5.4.0-33-generic (x86_64) Desktop,,GNOME Shell 3.36.1,GNOME Shell 3.36.1,GNOME Shell 3.36.4 Display Server,,X Server 1.20.8,X Server 1.20.8,X Server 1.20.8 Display Driver,,modesetting 1.20.8,modesetting 1.20.8,modesetting 1.20.8 OpenGL,,4.6 Mesa 20.0.4,4.6 Mesa 20.0.4,4.6 Mesa 20.0.4 Compiler,,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0 File-System,,ext4,ext4,ext4 Screen Resolution,,1366x768,1366x768,1366x768 ,,"Run 1","Run 2","Run 3" "oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,10.7684,10.2545,11.0660 "Rodinia - Test: OpenMP CFD Solver (sec)",LIB,124.405,116.727,116.121 "oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,1554.43,1532.18,1628.52 "oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,34.9274,33.8130,35.0953 "ECP-CANDLE - Benchmark: P1B2 (sec)",LIB,74.838,72.77,74.816 "libavif avifenc - Encoder Speed: 0 (sec)",LIB,489.475,476.985,477.142 "oneDNN - Harness: IP Batch All - Data Type: f32 - Engine: CPU (ms)",LIB,307.090,304.020,311.404 "oneDNN - Harness: IP Batch 1D - Data Type: f32 - Engine: CPU (ms)",LIB,23.2964,22.9018,22.7773 "oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,810.738,811.325,824.358 "ECP-CANDLE - Benchmark: P3B1 (sec)",LIB,2586.135,2551.636,2549.293 "Timed Apache Compilation - Time To Compile (sec)",LIB,74.292,73.879,74.871 "Geekbench - Test: CPU Single Core - Face Detection (images/sec)",HIB,5.86,5.92,5.89 "Timed Linux Kernel Compilation - Time To Compile (sec)",LIB,567.770,564.364,569.985 "libavif avifenc - Encoder Speed: 2 (sec)",LIB,284.941,283.327,282.661 "Rodinia - Test: OpenMP HotSpot3D (sec)",LIB,226.859,225.704,227.506 "Geekbench - Test: CPU Multi Core - Face Detection (images/sec)",HIB,12.7,12.6,12.7 "Geekbench - Test: CPU Multi Core - Horizon Detection (Gpixels/sec)",HIB,43.2,42.9,43.1 "Rodinia - Test: OpenMP Streamcluster (sec)",LIB,47.078,46.792,47.022 "oneDNN - Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU (ms)",LIB,37.9406,37.7286,37.8419 "Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: Points2Image (Test Cases/min)",HIB,14193.871976404,14197.078561502,14118.098715708 "Geekbench - Test: CPU Single Core - Horizon Detection (Gpixels/sec)",HIB,19.3,19.2,19.3 "Geekbench - Test: CPU Single Core (Score)",HIB,789,785,785 "oneDNN - Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU (ms)",LIB,27.8569,27.7555,27.7758 "Rodinia - Test: OpenMP Leukocyte (sec)",LIB,645.608,643.287,643.340 "TensorFlow Lite - Model: Mobilenet Quant (us)",LIB,947522,944925,944543 "Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: Euclidean Cluster (Test Cases/min)",HIB,436.88,436.58,435.60 "Geekbench - Test: CPU Multi Core - Gaussian Blur (Mpixels/sec)",HIB,77.8,77.6,77.8 "Geekbench - Test: CPU Multi Core (Score)",HIB,1633,1630,1630 "Montage Astronomical Image Mosaic Engine - Mosaic of M17, K band, 1.5 deg x 1.5 deg (sec)",LIB,122.011,122.223,122.073 "ASTC Encoder - Preset: Thorough (sec)",LIB,196.20,196.44,196.17 "ASTC Encoder - Preset: Medium (sec)",LIB,28.63,28.65,28.62 "libavif avifenc - Encoder Speed: 10 (sec)",LIB,14.734,14.740,14.749 "TensorFlow Lite - Model: Inception V4 (us)",LIB,20827933,20848367,20848033 "ASTC Encoder - Preset: Fast (sec)",LIB,10.49,10.49,10.50 "ASTC Encoder - Preset: Exhaustive (sec)",LIB,1600.33,1601.44,1601.56 "Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: NDT Mapping (Test Cases/min)",HIB,427.68,427.55,427.87 "NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,11.13000,11.13717,11.12933 "TensorFlow Lite - Model: NASNet Mobile (us)",LIB,1007580,1007653,1008210 "TensorFlow Lite - Model: SqueezeNet (us)",LIB,1439837,1440517,1439717 "libavif avifenc - Encoder Speed: 8 (sec)",LIB,16.642,16.641,16.648 "TensorFlow Lite - Model: Inception ResNet V2 (us)",LIB,18852000,18851967,18853200 "TensorFlow Lite - Model: Mobilenet Float (us)",LIB,976575,976629,976604 "Geekbench - Test: CPU Single Core - Gaussian Blur (Mpixels/sec)",HIB,32.8,32.1,31.7 "Rodinia - Test: OpenMP LavaMD (sec)",LIB,1838.834,1918.784,1841.514