AMD Ryzen 3 3200U testing with a MOTILE PF4PU1F (N.1.03 BIOS) and AMD Picasso 512MB 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 2012184-HA-NCNN3200U73
ncnn 3200u dec,
"NCNN 20201218 - Target: Vulkan GPU - Model: regnety_400m",
Lower Results Are Better
"1",33.68,33.35,33.28
"2",33.47,33.43,33.53
"3",33.02,35.7,37.21
"4",35.85,33.65,36
"NCNN 20201218 - Target: Vulkan GPU - Model: squeezenet_ssd",
Lower Results Are Better
"1",89.34,89.15,89.57
"2",90.55,89.36,89.79
"3",89.63,91.52,156.03
"4",88.7,89.72,90.21
"NCNN 20201218 - Target: Vulkan GPU - Model: yolov4-tiny",
Lower Results Are Better
"1",112.64,112.68,112.72
"2",112.2,112.56,114.26
"3",112.25,113.7,113.64
"4",113.77,113.08,113.81
"NCNN 20201218 - Target: Vulkan GPU - Model: resnet50",
Lower Results Are Better
"1",184.53,186.89,186.71
"2",184.57,187.31,187.62
"3",184.11,186.39,189.02
"4",184.84,187.03,187.11
"NCNN 20201218 - Target: Vulkan GPU - Model: alexnet",
Lower Results Are Better
"1",52.97,53.25,53.38
"2",52.24,53.24,53.81
"3",52.28,53.36,53.72
"4",52.66,53.62,53.6
"NCNN 20201218 - Target: Vulkan GPU - Model: resnet18",
Lower Results Are Better
"1",66.31,66.75,66.92
"2",66.6,67.16,67.87
"3",65.26,66.68,66.93
"4",65.83,67.48,67.23
"NCNN 20201218 - Target: Vulkan GPU - Model: vgg16",
Lower Results Are Better
"1",248.74,249.82,250.61
"2",248.14,249.42,249.64
"3",248.17,248.98,405.52
"4",247.58,249.34,249.52
"NCNN 20201218 - Target: Vulkan GPU - Model: googlenet",
Lower Results Are Better
"1",74.05,74.42,74.86
"2",73.14,74.58,74.83
"3",73.13,74.75,75.18
"4",73.27,74.87,74.99
"NCNN 20201218 - Target: Vulkan GPU - Model: blazeface",
Lower Results Are Better
"1",5.75,5.67,5.62
"2",6.82,5.67,6.16
"3",5.59,5.61,5.76
"4",5.69,6.87,5.68
"NCNN 20201218 - Target: Vulkan GPU - Model: efficientnet-b0",
Lower Results Are Better
"1",35.75,35.73,36.42
"2",35.9,36.31,36.54
"3",35.71,36.32,36.85
"4",35.75,36.65,36.52
"NCNN 20201218 - Target: Vulkan GPU - Model: mnasnet",
Lower Results Are Better
"1",23.27,23.23,23.14
"2",23.66,25.06,23.31
"3",22.86,23.78,23.48
"4",22.8,23.32,24.82
"NCNN 20201218 - Target: Vulkan GPU - Model: shufflenet-v2",
Lower Results Are Better
"1",25.86,26.12,25.04
"2",24.97,25.39,25.08
"3",24.3,26.53,25.14
"4",24.49,25.36,26.79
"NCNN 20201218 - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3",
Lower Results Are Better
"1",20.04,20.47,20.8
"2",20.81,21.35,21.64
"3",19.9,21.52,21.87
"4",19.81,20.62,21.68
"NCNN 20201218 - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2",
Lower Results Are Better
"1",24.6,25.2,24.74
"2",24.11,24.98,25.76
"3",23.52,25.19,24.86
"4",23.24,24.93,25.39
"NCNN 20201218 - Target: Vulkan GPU - Model: mobilenet",
Lower Results Are Better
"1",101.01,100.87,101.36
"2",100.53,101.57,101.33
"3",101.22,100.78,101.3
"4",101.61,101.84,101.44
"NCNN 20201218 - Target: CPU - Model: regnety_400m",
Lower Results Are Better
"1",34.99,32.97,39.51
"2",32.58,33.6,33.3
"3",32.82,33.4,33.46
"4",37.69,35.84,36.04
"NCNN 20201218 - Target: CPU - Model: squeezenet_ssd",
Lower Results Are Better
"1",83.88,89.29,87.41
"2",84.54,89.86,90.88
"3",88.24,89.21,90.74
"4",85.69,89.87,89.31
"NCNN 20201218 - Target: CPU - Model: yolov4-tiny",
Lower Results Are Better
"1",111.78,112.02,113.06
"2",112.8,113.14,113.3
"3",112.93,113.27,112.96
"4",112.42,113.57,112.96
"NCNN 20201218 - Target: CPU - Model: resnet50",
Lower Results Are Better
"1",178.11,183.08,184.67
"2",176.46,185.97,188.4
"3",180.46,186.86,187.32
"4",180.95,186.52,186.79
"NCNN 20201218 - Target: CPU - Model: alexnet",
Lower Results Are Better
"1",50.76,52.32,52.66
"2",50.32,52.76,53.31
"3",51.37,53.32,53.44
"4",51.29,53.2,53.51
"NCNN 20201218 - Target: CPU - Model: resnet18",
Lower Results Are Better
"1",63.59,65.33,66.73
"2",62.63,65.96,67.41
"3",63.78,66.97,67.52
"4",63.55,67.15,67.67
"NCNN 20201218 - Target: CPU - Model: vgg16",
Lower Results Are Better
"1",241.97,270.24,248.07
"2",244.58,249.99,248.51
"3",245.41,249.44,248.98
"4",244.55,247.9,248.66
"NCNN 20201218 - Target: CPU - Model: googlenet",
Lower Results Are Better
"1",71.53,73.32,74.84
"2",71.08,74.39,75
"3",71.45,75.2,75.36
"4",71.66,74.44,75.62
"NCNN 20201218 - Target: CPU - Model: blazeface",
Lower Results Are Better
"1",5.63,6.56,7
"2",6.17,5.63,5.66
"3",5.52,5.63,6.8
"4",6.54,5.77,5.78
"NCNN 20201218 - Target: CPU - Model: efficientnet-b0",
Lower Results Are Better
"1",35.38,35.68,36.18
"2",34.84,36.32,36.17
"3",35.67,36.09,36.47
"4",36.86,36.16,36.63
"NCNN 20201218 - Target: CPU - Model: mnasnet",
Lower Results Are Better
"1",94.37,22.86,23.16
"2",22.54,23.2,23.05
"3",22.42,23.43,23.93
"4",22.25,24.39,23.71
"NCNN 20201218 - Target: CPU - Model: shufflenet-v2",
Lower Results Are Better
"1",23.71,24.68,25.86
"2",23.48,25.37,26.36
"3",24.22,25.15,26.24
"4",23.73,26.48,26.36
"NCNN 20201218 - Target: CPU-v3-v3 - Model: mobilenet-v3",
Lower Results Are Better
"1",19.14,20.48,20.45
"2",18.69,20.99,21.55
"3",19.49,21.11,20.47
"4",19.22,22.37,20.94
"NCNN 20201218 - Target: CPU-v2-v2 - Model: mobilenet-v2",
Lower Results Are Better
"1",22.52,25.01,24.67
"2",21.8,24.7,24.86
"3",22.51,25.24,25.05
"4",22.48,25.9,24.87
"NCNN 20201218 - Target: CPU - Model: mobilenet",
Lower Results Are Better
"1",98.57,100.12,100.87
"2",100.55,101.38,101.72
"3",100.86,102.63,101.72
"4",100.51,101.79,101.59