Intel Core i7-5600U testing with a LENOVO 20BSCTO1WW (N14ET49W 1.27 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 2007150-NE-LINUXLAPT36
Linux Laptop
Intel Core i7-5600U testing with a LENOVO 20BSCTO1WW (N14ET49W 1.27 BIOS) and Intel HD 5500 3GB on Ubuntu 20.04 via the Phoronix Test Suite.
,,"Intel I218-LM - Intel Core i7-5600U"
Processor,,Intel Core i7-5600U @ 3.20GHz (2 Cores / 4 Threads)
Motherboard,,LENOVO 20BSCTO1WW (N14ET49W 1.27 BIOS)
Chipset,,Intel Broadwell-U-OPI
Memory,,8GB
Disk,,128GB SAMSUNG MZNTE128
Graphics,,Intel HD 5500 3GB (950MHz)
Audio,,Intel Broadwell-U Audio
Network,,Intel I218-LM + Intel 7265
OS,,Ubuntu 20.04
Kernel,,5.4.0-40-generic (x86_64)
Desktop,,GNOME Shell 3.36.1
Display Server,,X Server 1.20.8
Display Driver,,modesetting 1.20.8
OpenGL,,4.6 Mesa 20.0.4
OpenCL,,OpenCL 2.1
Compiler,,GCC 9.3.0
File-System,,ext4
Screen Resolution,,1920x1080
,,"Intel I218-LM - Intel Core i7-5600U"
"Tesseract OCR - Time To OCR 7 Images (sec)",LIB,35.174
"BRL-CAD - VGR Performance Metric (VGR Performance Metric)",HIB,14650
"Hugin - Panorama Photo Assistant + Stitching Time (sec)",LIB,127.554
"Montage Astronomical Image Mosaic Engine - Mosaic of M17, K band, 1.5 deg x 1.5 deg (sec)",LIB,109.626
"OCRMyPDF - Processing 60 Page PDF Document (sec)",LIB,130.368
"Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: NDT Mapping (Test Cases/min)",HIB,495.12
"Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: Points2Image (Test Cases/min)",HIB,15931.136081342
"Darmstadt Automotive Parallel Heterogeneous Suite - Backend: OpenMP - Kernel: Euclidean Cluster (Test Cases/min)",HIB,496.18
"GNU Octave Benchmark - (sec)",LIB,10.465
"Rodinia - Test: OpenMP LavaMD (sec)",LIB,1768.173
"Rodinia - Test: OpenCL Myocyte (sec)",LIB,110.075
"Rodinia - Test: OpenMP HotSpot3D (sec)",LIB,207.518
"Rodinia - Test: OpenMP Leukocyte (sec)",LIB,625.912
"Rodinia - Test: OpenMP CFD Solver (sec)",LIB,101.297
"Rodinia - Test: OpenMP Streamcluster (sec)",LIB,40.622
"oneDNN - Harness: IP Batch 1D - Data Type: f32 - Engine: CPU (ms)",LIB,21.1719
"oneDNN - Harness: IP Batch All - Data Type: f32 - Engine: CPU (ms)",LIB,298.140
"oneDNN - Harness: IP Batch 1D - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,13.2751
"oneDNN - Harness: IP Batch All - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,195.808
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: f32 - Engine: CPU (ms)",LIB,28.1967
"oneDNN - Harness: Deconvolution Batch deconv_1d - Data Type: f32 - Engine: CPU (ms)",LIB,25.2460
"oneDNN - Harness: Deconvolution Batch deconv_3d - Data Type: f32 - Engine: CPU (ms)",LIB,33.9677
"oneDNN - Harness: Convolution Batch Shapes Auto - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,26.3471
"oneDNN - Harness: Deconvolution Batch deconv_1d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,29.2481
"oneDNN - Harness: Deconvolution Batch deconv_3d - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,25.9140
"oneDNN - Harness: Recurrent Neural Network Training - Data Type: f32 - Engine: CPU (ms)",LIB,1504.45
"oneDNN - Harness: Recurrent Neural Network Inference - Data Type: f32 - Engine: CPU (ms)",LIB,659.227
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: f32 - Engine: CPU (ms)",LIB,8.70216
"oneDNN - Harness: Matrix Multiply Batch Shapes Transformer - Data Type: u8s8f32 - Engine: CPU (ms)",LIB,14.1053
"WireGuard + Linux Networking Stack Stress Test - (sec)",LIB,385.051
"Timed Apache Compilation - Time To Compile (sec)",LIB,66.183
"Zstd Compression - Compression Level: 3 (MB/s)",HIB,1310.3
"Zstd Compression - Compression Level: 19 (MB/s)",HIB,11.8
"AOM AV1 - Encoder Mode: Speed 0 Two-Pass (FPS)",HIB,0.11
"AOM AV1 - Encoder Mode: Speed 4 Two-Pass (FPS)",HIB,1.01
"AOM AV1 - Encoder Mode: Speed 6 Realtime (FPS)",HIB,6.59
"AOM AV1 - Encoder Mode: Speed 6 Two-Pass (FPS)",HIB,1.62
"AOM AV1 - Encoder Mode: Speed 8 Realtime (FPS)",HIB,22.80
"dav1d - Video Input: Chimera 1080p (FPS)",HIB,139.86
"dav1d - Video Input: Summer Nature 4K (FPS)",HIB,35.06
"dav1d - Video Input: Summer Nature 1080p (FPS)",HIB,131.39
"dav1d - Video Input: Chimera 1080p 10-bit (FPS)",HIB,29.77
"Chaos Group V-RAY - Mode: CPU (Ksamples)",HIB,2282
"libavif avifenc - Encoder Speed: 0 (sec)",LIB,475.434
"libavif avifenc - Encoder Speed: 2 (sec)",LIB,278.495
"libavif avifenc - Encoder Speed: 8 (sec)",LIB,14.738
"libavif avifenc - Encoder Speed: 10 (sec)",LIB,13.024
"LuxCoreRender - Scene: DLSC (M samples/sec)",HIB,0.27
"LuxCoreRender - Scene: Rainbow Colors and Prism (M samples/sec)",HIB,0.30
"PyPerformance - Benchmark: go (Milliseconds)",LIB,314
"PyPerformance - Benchmark: 2to3 (Milliseconds)",LIB,433
"PyPerformance - Benchmark: chaos (Milliseconds)",LIB,139
"PyPerformance - Benchmark: float (Milliseconds)",LIB,152
"PyPerformance - Benchmark: nbody (Milliseconds)",LIB,160
"PyPerformance - Benchmark: pathlib (Milliseconds)",LIB,26.8
"PyPerformance - Benchmark: raytrace (Milliseconds)",LIB,603
"PyPerformance - Benchmark: json_loads (Milliseconds)",LIB,31.2
"PyPerformance - Benchmark: crypto_pyaes (Milliseconds)",LIB,139
"PyPerformance - Benchmark: regex_compile (Milliseconds)",LIB,225
"PyPerformance - Benchmark: python_startup (Milliseconds)",LIB,11.7
"PyPerformance - Benchmark: django_template (Milliseconds)",LIB,64.8
"PyPerformance - Benchmark: pickle_pure_python (Milliseconds)",LIB,571