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: 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: 5.9.0-rc5-14sep-patch (x86_64) 20200914, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, OpenCL: OpenCL 2.1, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 2: 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: 5.9.0-rc5-14sep-patch (x86_64) 20200914, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, OpenCL: OpenCL 2.1, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 3: 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: 5.9.0-rc5-14sep-patch (x86_64) 20200914, Desktop: GNOME Shell 3.36.4, Display Server: X Server 1.20.8, Display Driver: modesetting 1.20.8, OpenGL: 4.6 Mesa 20.0.4, OpenCL: OpenCL 2.1, Vulkan: 1.2.131, Compiler: GCC 9.3.0, File-System: ext4, Screen Resolution: 1920x1080 RealSR-NCNN 20200818 Scale: 4x - TAA: No Seconds < Lower Is Better 1 . 17.24 |==================================================================== 2 . 17.12 |=================================================================== 3 . 17.26 |==================================================================== OSBench Test: Create Files us Per Event < Lower Is Better 1 . 20.75 |==================================================================== 2 . 20.49 |=================================================================== 3 . 20.51 |=================================================================== OSBench Test: Create Threads us Per Event < Lower Is Better 1 . 19.39 |=================================================================== 2 . 19.61 |==================================================================== 3 . 19.49 |==================================================================== OSBench Test: Launch Programs us Per Event < Lower Is Better 1 . 142.44 |================================================================== 2 . 143.75 |=================================================================== 3 . 144.05 |=================================================================== OSBench Test: Create Processes us Per Event < Lower Is Better 1 . 43.75 |================================================================= 2 . 46.11 |==================================================================== 3 . 43.71 |================================================================ OSBench Test: Memory Allocations Ns Per Event < Lower Is Better 1 . 95.69 |==================================================================== 2 . 92.98 |================================================================== 3 . 93.06 |================================================================== WebP Image Encode 1.1 Encode Settings: Default Encode Time - Seconds < Lower Is Better 1 . 2.189 |==================================================================== 2 . 2.179 |==================================================================== 3 . 2.185 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100 Encode Time - Seconds < Lower Is Better 1 . 3.322 |=================================================================== 2 . 3.355 |==================================================================== 3 . 3.328 |=================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless Encode Time - Seconds < Lower Is Better 1 . 25.14 |==================================================================== 2 . 24.94 |=================================================================== 3 . 25.06 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Highest Compression Encode Time - Seconds < Lower Is Better 1 . 9.880 |==================================================================== 2 . 9.832 |==================================================================== 3 . 9.842 |==================================================================== WebP Image Encode 1.1 Encode Settings: Quality 100, Lossless, Highest Compression Encode Time - Seconds < Lower Is Better 1 . 66.44 |==================================================================== 2 . 62.94 |================================================================ 3 . 63.11 |================================================================= LibRaw 0.20 Post-Processing Benchmark Mpix/sec > Higher Is Better 1 . 15.20 |==================================================================== 2 . 15.25 |==================================================================== 3 . 15.22 |==================================================================== eSpeak-NG Speech Engine 20200907 Text-To-Speech Synthesis Seconds < Lower Is Better 1 . 45.30 |================================================================ 2 . 45.20 |================================================================ 3 . 48.15 |==================================================================== MPV Video Input: Big Buck Bunny Sunflower 4K - Decode: Software Only FPS > Higher Is Better 1 . 66.16 |==================================================================== 2 . 66.12 |==================================================================== 3 . 66.14 |==================================================================== MPV Video Input: Big Buck Bunny Sunflower 1080p - Decode: Software Only FPS > Higher Is Better 1 . 168.09 |=================================================================== 2 . 169.09 |=================================================================== 3 . 167.91 |=================================================================== NCNN 20200916 Target: CPU - Model: squeezenet ms < Lower Is Better 1 . 93.59 |==================================================================== 2 . 93.02 |==================================================================== 3 . 93.19 |==================================================================== NCNN 20200916 Target: CPU - Model: mobilenet ms < Lower Is Better 1 . 61.65 |==================================================================== 2 . 61.36 |==================================================================== 3 . 61.35 |==================================================================== NCNN 20200916 Target: CPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 15.40 |==================================================================== 2 . 15.13 |=================================================================== 3 . 15.21 |=================================================================== NCNN 20200916 Target: CPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 13.58 |==================================================================== 2 . 13.43 |=================================================================== 3 . 13.58 |==================================================================== NCNN 20200916 Target: CPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 9.55 |===================================================================== 2 . 9.55 |===================================================================== 3 . 9.55 |===================================================================== NCNN 20200916 Target: CPU - Model: mnasnet ms < Lower Is Better 1 . 14.62 |=================================================================== 2 . 14.47 |=================================================================== 3 . 14.73 |==================================================================== NCNN 20200916 Target: CPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 22.72 |==================================================================== 2 . 22.52 |=================================================================== 3 . 22.42 |=================================================================== NCNN 20200916 Target: CPU - Model: blazeface ms < Lower Is Better 1 . 3.89 |===================================================================== 2 . 3.89 |===================================================================== 3 . 3.91 |===================================================================== NCNN 20200916 Target: CPU - Model: googlenet ms < Lower Is Better 1 . 130.66 |=================================================================== 2 . 130.39 |=================================================================== 3 . 130.54 |=================================================================== NCNN 20200916 Target: CPU - Model: vgg16 ms < Lower Is Better 1 . 593.36 |=================================================================== 2 . 585.64 |================================================================== 3 . 585.76 |================================================================== NCNN 20200916 Target: CPU - Model: resnet18 ms < Lower Is Better 1 . 91.67 |==================================================================== 2 . 91.32 |==================================================================== 3 . 91.18 |==================================================================== NCNN 20200916 Target: CPU - Model: alexnet ms < Lower Is Better 1 . 39.92 |==================================================================== 2 . 39.64 |==================================================================== 3 . 39.75 |==================================================================== NCNN 20200916 Target: CPU - Model: resnet50 ms < Lower Is Better 1 . 275.97 |=================================================================== 2 . 276.14 |=================================================================== 3 . 275.78 |=================================================================== NCNN 20200916 Target: CPU - Model: yolov4-tiny ms < Lower Is Better 1 . 81.27 |==================================================================== 2 . 81.46 |==================================================================== 3 . 81.29 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: squeezenet ms < Lower Is Better 1 . 92.25 |================================================================== 2 . 91.76 |================================================================= 3 . 95.41 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: mobilenet ms < Lower Is Better 1 . 56.74 |==================================================================== 2 . 52.97 |=============================================================== 3 . 52.88 |=============================================================== NCNN 20200916 Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2 ms < Lower Is Better 1 . 14.52 |==================================================================== 2 . 14.54 |==================================================================== 3 . 14.51 |==================================================================== NCNN 20200916 Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3 ms < Lower Is Better 1 . 15.27 |==================================================================== 2 . 15.28 |==================================================================== 3 . 15.24 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: shufflenet-v2 ms < Lower Is Better 1 . 10.41 |==================================================================== 2 . 9.86 |================================================================ 3 . 9.65 |=============================================================== NCNN 20200916 Target: Vulkan GPU - Model: mnasnet ms < Lower Is Better 1 . 14.43 |==================================================================== 2 . 14.49 |==================================================================== 3 . 14.50 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: efficientnet-b0 ms < Lower Is Better 1 . 26.87 |==================================================================== 2 . 26.80 |==================================================================== 3 . 26.79 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: blazeface ms < Lower Is Better 1 . 6.75 |===================================================================== 2 . 3.53 |==================================== 3 . 3.73 |====================================== NCNN 20200916 Target: Vulkan GPU - Model: googlenet ms < Lower Is Better 1 . 125.52 |=================================================================== 2 . 125.32 |=================================================================== 3 . 125.83 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: vgg16 ms < Lower Is Better 1 . 578.67 |=================================================================== 2 . 574.27 |================================================================== 3 . 576.74 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet18 ms < Lower Is Better 1 . 90.33 |==================================================================== 2 . 90.41 |==================================================================== 3 . 90.35 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: alexnet ms < Lower Is Better 1 . 45.46 |==================================================================== 2 . 45.57 |==================================================================== 3 . 45.48 |==================================================================== NCNN 20200916 Target: Vulkan GPU - Model: resnet50 ms < Lower Is Better 1 . 274.26 |=================================================================== 2 . 274.39 |=================================================================== 3 . 274.17 |=================================================================== NCNN 20200916 Target: Vulkan GPU - Model: yolov4-tiny ms < Lower Is Better 1 . 88.30 |==================================================================== 2 . 82.25 |=============================================================== 3 . 82.63 |================================================================ TNN 0.2.3 Target: CPU - Model: MobileNet v2 ms < Lower Is Better 1 . 361.05 |=================================================================== 2 . 360.76 |=================================================================== 3 . 360.52 |=================================================================== TNN 0.2.3 Target: CPU - Model: SqueezeNet v1.1 ms < Lower Is Better 1 . 343.60 |=================================================================== 2 . 344.44 |=================================================================== 3 . 341.56 |================================================================== OpenCV 4.4 Test: DNN - Deep Neural Network ms < Lower Is Better 1 . 93708 |==================================================================== 2 . 71704 |==================================================== 3 . 71129 |==================================================== InfluxDB 1.8.2 Concurrent Streams: 4 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better 1 . 401170.7 |=============================================================== 2 . 412256.1 |================================================================= 3 . 392971.0 |============================================================== InfluxDB 1.8.2 Concurrent Streams: 64 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better 1 . 417381.4 |================================================================= 2 . 417905.6 |================================================================= 3 . 420358.6 |================================================================= InfluxDB 1.8.2 Concurrent Streams: 1024 - Batch Size: 10000 - Tags: 2,5000,1 - Points Per Series: 10000 val/sec > Higher Is Better 1 . 125067.4 |================================================================= 2 . 101463.5 |===================================================== 3 . 87151.6 |=============================================