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 2009251-FI-BROLAPTOP53
bro 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.
,,"1","2","3"
Processor,,Intel Core i7-5600U @ 3.20GHz (2 Cores / 4 Threads),Intel Core i7-5600U @ 3.20GHz (2 Cores / 4 Threads),Intel Core i7-5600U @ 3.20GHz (2 Cores / 4 Threads)
Motherboard,,LENOVO 20BSCTO1WW (N14ET49W 1.27 BIOS),LENOVO 20BSCTO1WW (N14ET49W 1.27 BIOS),LENOVO 20BSCTO1WW (N14ET49W 1.27 BIOS)
Chipset,,Intel Broadwell-U-OPI,Intel Broadwell-U-OPI,Intel Broadwell-U-OPI
Memory,,8GB,8GB,8GB
Disk,,128GB SAMSUNG MZNTE128,128GB SAMSUNG MZNTE128,128GB SAMSUNG MZNTE128
Graphics,,Intel HD 5500 3GB (950MHz),Intel HD 5500 3GB (950MHz),Intel HD 5500 3GB (950MHz)
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,,5.9.0-rc5-14sep-patch (x86_64) 20200914,5.9.0-rc5-14sep-patch (x86_64) 20200914,5.9.0-rc5-14sep-patch (x86_64) 20200914
Desktop,,GNOME Shell 3.36.4,GNOME Shell 3.36.4,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
OpenCL,,OpenCL 2.1,OpenCL 2.1,OpenCL 2.1
Vulkan,,1.2.131,1.2.131,1.2.131
Compiler,,GCC 9.3.0,GCC 9.3.0,GCC 9.3.0
File-System,,ext4,ext4,ext4
Screen Resolution,,1920x1080,1920x1080,1920x1080
,,"1","2","3"
"RealSR-NCNN - Scale: 4x - TAA: No (sec)",LIB,17.244,17.116,17.256
"OSBench - Test: Create Files (us/Event)",LIB,20.750777,20.488328,20.512010
"OSBench - Test: Create Threads (us/Event)",LIB,19.390583,19.609928,19.489129
"OSBench - Test: Launch Programs (us/Event)",LIB,142.443180,143.745740,144.054095
"OSBench - Test: Create Processes (us/Event)",LIB,43.747425,46.114604,43.709278
"OSBench - Test: Memory Allocations (Ns/Event)",LIB,95.694939,92.982610,93.064388
"WebP Image Encode - Encode Settings: Default (Encode Time - sec)",LIB,2.189,2.179,2.185
"WebP Image Encode - Encode Settings: Quality 100 (Encode Time - sec)",LIB,3.322,3.355,3.328
"WebP Image Encode - Encode Settings: Quality 100, Lossless (Encode Time - sec)",LIB,25.142,24.937,25.059
"WebP Image Encode - Encode Settings: Quality 100, Highest Compression (Encode Time - sec)",LIB,9.880,9.832,9.842
"WebP Image Encode - Encode Settings: Quality 100, Lossless, Highest Compression (Encode Time - sec)",LIB,66.439,62.935,63.107
"LibRaw - Post-Processing Benchmark (Mpix/sec)",HIB,15.20,15.25,15.22
"eSpeak-NG Speech Engine - Text-To-Speech Synthesis (sec)",LIB,45.304,45.198,48.154
"MPV - Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only (FPS)",HIB,66.16,66.12,66.14
"MPV - Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only (FPS)",HIB,168.09,169.09,167.91
"NCNN - Target: CPU - Model: squeezenet (ms)",LIB,93.59,93.02,93.19
"NCNN - Target: CPU - Model: mobilenet (ms)",LIB,61.65,61.36,61.35
"NCNN - Target: CPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,15.40,15.13,15.21
"NCNN - Target: CPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,13.58,13.43,13.58
"NCNN - Target: CPU - Model: shufflenet-v2 (ms)",LIB,9.55,9.55,9.55
"NCNN - Target: CPU - Model: mnasnet (ms)",LIB,14.62,14.47,14.73
"NCNN - Target: CPU - Model: efficientnet-b0 (ms)",LIB,22.72,22.52,22.42
"NCNN - Target: CPU - Model: blazeface (ms)",LIB,3.89,3.89,3.91
"NCNN - Target: CPU - Model: googlenet (ms)",LIB,130.66,130.39,130.54
"NCNN - Target: CPU - Model: vgg16 (ms)",LIB,593.36,585.64,585.76
"NCNN - Target: CPU - Model: resnet18 (ms)",LIB,91.67,91.32,91.18
"NCNN - Target: CPU - Model: alexnet (ms)",LIB,39.92,39.64,39.75
"NCNN - Target: CPU - Model: resnet50 (ms)",LIB,275.97,276.14,275.78
"NCNN - Target: CPU - Model: yolov4-tiny (ms)",LIB,81.27,81.46,81.29
"NCNN - Target: Vulkan GPU - Model: squeezenet (ms)",LIB,92.25,91.76,95.41
"NCNN - Target: Vulkan GPU - Model: mobilenet (ms)",LIB,56.74,52.97,52.88
"NCNN - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 (ms)",LIB,14.52,14.54,14.51
"NCNN - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 (ms)",LIB,15.27,15.28,15.24
"NCNN - Target: Vulkan GPU - Model: shufflenet-v2 (ms)",LIB,10.41,9.86,9.65
"NCNN - Target: Vulkan GPU - Model: mnasnet (ms)",LIB,14.43,14.49,14.50
"NCNN - Target: Vulkan GPU - Model: efficientnet-b0 (ms)",LIB,26.87,26.80,26.79
"NCNN - Target: Vulkan GPU - Model: blazeface (ms)",LIB,6.75,3.53,3.73
"NCNN - Target: Vulkan GPU - Model: googlenet (ms)",LIB,125.52,125.32,125.83
"NCNN - Target: Vulkan GPU - Model: vgg16 (ms)",LIB,578.67,574.27,576.74
"NCNN - Target: Vulkan GPU - Model: resnet18 (ms)",LIB,90.33,90.41,90.35
"NCNN - Target: Vulkan GPU - Model: alexnet (ms)",LIB,45.46,45.57,45.48
"NCNN - Target: Vulkan GPU - Model: resnet50 (ms)",LIB,274.26,274.39,274.17
"NCNN - Target: Vulkan GPU - Model: yolov4-tiny (ms)",LIB,88.30,82.25,82.63
"TNN - Target: CPU - Model: MobileNet v2 (ms)",LIB,361.053,360.759,360.518
"TNN - Target: CPU - Model: SqueezeNet v1.1 (ms)",LIB,343.597,344.441,341.555
"OpenCV - Test: DNN - Deep Neural Network (ms)",LIB,93708,71704,71129
"InfluxDB - Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,401170.7,412256.1,392971.0
"InfluxDB - Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,417381.4,417905.6,420358.6
"InfluxDB - Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 (val/sec)",HIB,125067.4,101463.5,87151.6