Core i5 7600K NCNN, "NCNN 20201218 - Target: CPU - Model: blazeface", Lower Results Are Better "1",2.14,2.13,2.16 "2",2.14,2.13,2.17 "3",2.14,2.14,2.14 "4",2.12,2.14,2.13 "NCNN 20201218 - Target: Vulkan GPU - Model: efficientnet-b0", Lower Results Are Better "1",13.21,13.24,13.25 "2",13.29,13.26,13.33 "3",13.34,13.32,13.3 "4",13.3,13.31,13.26 "NCNN 20201218 - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "1",8.02,8.07,8.07 "2",8.07,8.01,8.05 "3",8.09,8.05,8.09 "4",8.08,8.08,8.06 "NCNN 20201218 - Target: Vulkan GPU - Model: blazeface", Lower Results Are Better "1",2.13,2.13,2.14 "2",2.14,2.15,2.14 "3",2.15,2.15,2.13 "4",2.14,2.13,2.14 "NCNN 20201218 - Target: CPU - Model: vgg16", Lower Results Are Better "1",152.01,152.77,153.09 "2",153.19,153.62,152.34 "3",153.49,153.39,153.07 "4",153.13,153.55,152.97 "NCNN 20201218 - Target: Vulkan GPU - Model: mobilenet", Lower Results Are Better "1",37.16,37.03,37.25 "2",37.26,37.11,37.19 "3",37.22,37.3,37.36 "4",37.23,37.27,37.3 "NCNN 20201218 - Target: CPU-v3-v3 - Model: mobilenet-v3", Lower Results Are Better "1",8.04,8.09,8.05 "2",7.98,8.1,8.04 "3",8.03,8.08,8.04 "4",8.05,8.07,8.1 "NCNN 20201218 - Target: CPU - Model: resnet18", Lower Results Are Better "1",32.17,32.36,32.17 "2",32.17,32.17,32.23 "3",32.37,32.21,32.22 "4",32.45,32.28,32.21 "NCNN 20201218 - Target: Vulkan GPU - Model: squeezenet_ssd", Lower Results Are Better "1",45.95,46.12,46 "2",46.14,46.12,46.09 "3",46.32,46.2,46.04 "4",46.04,46,46.13 "NCNN 20201218 - Target: Vulkan GPU - Model: shufflenet-v2", Lower Results Are Better "1",8.69,8.69,8.7 "2",8.7,8.72,8.73 "3",8.7,8.73,8.71 "4",8.71,8.69,8.71 "NCNN 20201218 - Target: CPU - Model: googlenet", Lower Results Are Better "1",27.72,27.65,27.69 "2",27.66,27.69,27.66 "3",27.58,27.64,27.63 "4",27.72,27.7,27.7 "NCNN 20201218 - Target: Vulkan GPU - Model: yolov4-tiny", Lower Results Are Better "1",53.41,53.39,53.38 "2",53.66,53.6,53.43 "3",53.42,53.46,53.55 "4",53.48,53.52,53.38 "NCNN 20201218 - Target: CPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "1",9.82,9.95,9.88 "2",9.78,9.86,9.91 "3",9.8,9.86,9.88 "4",9.81,9.89,9.9 "NCNN 20201218 - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2", Lower Results Are Better "1",9.86,9.84,9.93 "2",9.84,9.86,9.87 "3",9.85,9.85,9.87 "4",9.92,9.87,9.89 "NCNN 20201218 - Target: CPU - Model: efficientnet-b0", Lower Results Are Better "1",13.3,13.29,13.27 "2",13.29,13.27,13.28 "3",13.24,13.27,13.24 "4",13.25,13.26,13.26 "NCNN 20201218 - Target: Vulkan GPU - Model: vgg16", Lower Results Are Better "1",152.73,152.61,153.39 "2",153.05,153.55,153.5 "3",153.41,153.05,153.16 "4",153.15,152.76,152.99 "NCNN 20201218 - Target: CPU - Model: squeezenet_ssd", Lower Results Are Better "1",45.95,46.18,46.28 "2",46.1,46.03,46.38 "3",46.34,46.26,46.2 "4",46.17,46.19,46.27 "NCNN 20201218 - Target: Vulkan GPU - Model: mnasnet", Lower Results Are Better "1",7.45,7.46,7.44 "2",7.47,7.45,7.45 "3",7.47,7.46,7.46 "4",7.48,7.45,7.48 "NCNN 20201218 - Target: CPU - Model: mnasnet", Lower Results Are Better "1",7.45,7.51,7.52 "2",7.46,7.47,7.47 "3",7.47,7.45,7.48 "4",7.49,7.46,7.47 "NCNN 20201218 - Target: CPU - Model: yolov4-tiny", Lower Results Are Better "1",53.51,53.52,53.73 "2",53.42,53.47,53.46 "3",53.48,53.44,53.47 "4",53.44,53.62,53.66 "NCNN 20201218 - Target: Vulkan GPU - Model: googlenet", Lower Results Are Better "1",27.74,27.67,27.64 "2",27.71,27.72,27.61 "3",27.6,27.58,27.66 "4",27.74,27.64,27.64 "NCNN 20201218 - Target: Vulkan GPU - Model: resnet18", Lower Results Are Better "1",32.16,32.4,32.16 "2",32.17,32.3,32.27 "3",32.11,32.22,32.17 "4",32.18,32.19,32.16 "NCNN 20201218 - Target: CPU - Model: mobilenet", Lower Results Are Better "1",37.46,37.14,37.08 "2",37.19,37.11,37.2 "3",37.1,37.24,37.09 "4",37.11,37.26,37.28 "NCNN 20201218 - Target: Vulkan GPU - Model: resnet50", Lower Results Are Better "1",62.53,62.47,62.6 "2",62.37,62.29,62.47 "3",62.41,62.32,62.51 "4",62.51,62.45,62.39 "NCNN 20201218 - Target: CPU - Model: shufflenet-v2", Lower Results Are Better "1",8.71,8.73,8.75 "2",8.76,8.7,8.71 "3",8.71,8.71,8.72 "4",8.7,8.71,8.77 "NCNN 20201218 - Target: CPU - Model: alexnet", Lower Results Are Better "1",26.81,26.87,26.88 "2",27,26.85,26.89 "3",26.84,26.85,26.88 "4",26.83,26.86,26.89 "NCNN 20201218 - Target: CPU - Model: resnet50", Lower Results Are Better "1",62.44,62.51,62.64 "2",62.35,62.49,62.55 "3",62.62,62.49,62.51 "4",62.59,62.65,62.53 "NCNN 20201218 - Target: Vulkan GPU - Model: regnety_400m", Lower Results Are Better "1",14.47,14.44,14.46 "2",14.47,14.4,14.46 "3",14.46,14.45,14.44 "4",14.5,14.46,14.43 "NCNN 20201218 - Target: CPU - Model: regnety_400m", Lower Results Are Better "1",14.43,14.45,14.4 "2",14.41,14.43,14.46 "3",14.46,14.41,14.42 "4",14.38,14.54,14.41 "NCNN 20201218 - Target: Vulkan GPU - Model: alexnet", Lower Results Are Better "1",26.84,26.83,26.84 "2",26.85,26.82,26.86 "3",26.82,26.84,26.84 "4",26.83,26.85,26.85