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
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"
"Geekbench - Test: CPU Multi Core (Score)",HIB,1633,1630,1630
"Geekbench - Test: CPU Multi Core - Gaussian Blur (Mpixels/sec)",HIB,77.8,77.6,77.8
"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
"Geekbench - Test: CPU Single Core (Score)",HIB,789,785,785
"Geekbench - Test: CPU Single Core - Gaussian Blur (Mpixels/sec)",HIB,32.8,32.1,31.7
"Geekbench - Test: CPU Single Core - Face Detection (images/sec)",HIB,5.86,5.92,5.89
"Geekbench - Test: CPU Single Core - Horizon Detection (Gpixels/sec)",HIB,19.3,19.2,19.3
"ASTC Encoder - Preset: Fast (sec)",LIB,10.49,10.49,10.50
"ASTC Encoder - Preset: Medium (sec)",LIB,28.63,28.65,28.62
"ASTC Encoder - Preset: Thorough (sec)",LIB,196.20,196.44,196.17
"ASTC Encoder - Preset: Exhaustive (sec)",LIB,1600.33,1601.44,1601.56
"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
"Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: NDT Mapping (Test Cases/min)",HIB,427.68,427.55,427.87
"Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: Points2Image (Test Cases/min)",HIB,14193.871976404,14197.078561502,14118.098715708
"Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: Euclidean Cluster (Test Cases/min)",HIB,436.88,436.58,435.60
"ECP-CANDLE - Benchmark: P1B2 (sec)",LIB,74.838,72.77,74.816
"ECP-CANDLE - Benchmark: P3B1 (sec)",LIB,2586.135,2551.636,2549.293
"TensorFlow Lite - Model: SqueezeNet (us)",LIB,1439837,1440517,1439717
"TensorFlow Lite - Model: Inception V4 (us)",LIB,20827933,20848367,20848033
"TensorFlow Lite - Model: NASNet Mobile (us)",LIB,1007580,1007653,1008210
"TensorFlow Lite - Model: Mobilenet Float (us)",LIB,976575,976629,976604
"TensorFlow Lite - Model: Mobilenet Quant (us)",LIB,947522,944925,944543
"TensorFlow Lite - Model: Inception ResNet V2 (us)",LIB,18852000,18851967,18853200
"Rodinia - Test: OpenMP LavaMD (sec)",LIB,1838.834,1918.784,1841.514
"Rodinia - Test: OpenMP HotSpot3D (sec)",LIB,226.859,225.704,227.506
"Rodinia - Test: OpenMP Leukocyte (sec)",LIB,645.608,643.287,643.340
"Rodinia - Test: OpenMP CFD Solver (sec)",LIB,124.405,116.727,116.121
"Rodinia - Test: OpenMP Streamcluster (sec)",LIB,47.078,46.792,47.022
"NAMD - ATPase Simulation - 327,506 Atoms (days/ns)",LIB,11.13000,11.13717,11.12933
"oneDNN - Harness: IP Batch 1D - Data Type: f32 - Engine: CPU (ms)",LIB,23.2964,22.9018,22.7773
"oneDNN - Harness: IP Batch All - Data Type: f32 - Engine: CPU (ms)",LIB,307.090,304.020,311.404
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,34.9274,33.8130,35.0953
"oneDNN - Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU (ms)",LIB,27.8569,27.7555,27.7758
"oneDNN - Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU (ms)",LIB,37.9406,37.7286,37.8419
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,1554.43,1532.18,1628.52
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,810.738,811.325,824.358
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,10.7684,10.2545,11.0660
"Timed Apache Compilation - Time To Compile (sec)",LIB,74.292,73.879,74.871
"Timed Linux Kernel Compilation - Time To Compile (sec)",LIB,567.770,564.364,569.985
"libavif avifenc - Encoder Speed: 0 (sec)",LIB,489.475,476.985,477.142
"libavif avifenc - Encoder Speed: 2 (sec)",LIB,284.941,283.327,282.661
"libavif avifenc - Encoder Speed: 8 (sec)",LIB,16.642,16.641,16.648
"libavif avifenc - Encoder Speed: 10 (sec)",LIB,14.734,14.740,14.749