AMD Ryzen 7 PRO 5850U testing with a HP 8A78 (F.04 BIOS) and AMD Cezanne 512MB on Ubuntu 22.04 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 2208132-PTS-HPDEVONE31
hp dev one mnn ncnn,
"NCNN 20220729 - Target: Vulkan GPU - Model: FastestDet",
Lower Results Are Better
"A",3.92,4.16,3.96
"B",4.45,3.85,4.11
"C",4.02,3.89,3.94
"NCNN 20220729 - Target: Vulkan GPU - Model: vision_transformer",
Lower Results Are Better
"A",596.29,589.72,580.61
"B",587.63,589.87,589.58
"C",588.56,595.27,592.74
"NCNN 20220729 - Target: Vulkan GPU - Model: regnety_400m",
Lower Results Are Better
"A",5.17,4.78,5.2
"B",4.78,4.88,4.94
"C",5.08,4.97,5.03
"NCNN 20220729 - Target: Vulkan GPU - Model: squeezenet_ssd",
Lower Results Are Better
"A",15.64,15.72,15.79
"B",15.69,15.67,15.69
"C",15.61,15.89,15.69
"NCNN 20220729 - Target: Vulkan GPU - Model: yolov4-tiny",
Lower Results Are Better
"A",18.63,18.9,18.99
"B",19.57,18.81,19.1
"C",19.11,18.81,18.88
"NCNN 20220729 - Target: Vulkan GPU - Model: resnet50",
Lower Results Are Better
"A",13.14,13.05,12.82
"B",12.6,12.65,12.98
"C",13.14,13.25,13.53
"NCNN 20220729 - Target: Vulkan GPU - Model: alexnet",
Lower Results Are Better
"A",6.74,6.74,6.69
"B",6.69,6.88,6.89
"C",7.11,6.59,6.94
"NCNN 20220729 - Target: Vulkan GPU - Model: resnet18",
Lower Results Are Better
"A",5.97,5.85,6.02
"B",5.56,5.77,5.52
"C",6,5.71,6.04
"NCNN 20220729 - Target: Vulkan GPU - Model: vgg16",
Lower Results Are Better
"A",27.15,26.83,27.23
"B",27.01,27.1,27.21
"C",26.84,27.39,27.45
"NCNN 20220729 - Target: Vulkan GPU - Model: googlenet",
Lower Results Are Better
"A",8.37,8.03,8.21
"B",8.69,8.61,8.44
"C",8.28,8.78,9.76
"NCNN 20220729 - Target: Vulkan GPU - Model: blazeface",
Lower Results Are Better
"A",1.74,1.86,1.86
"B",1.87,1.87,1.89
"C",1.82,1.9,1.89
"NCNN 20220729 - Target: Vulkan GPU - Model: efficientnet-b0",
Lower Results Are Better
"A",10.32,10.17,10.41
"B",10.17,10.27,10.24
"C",10.29,10.3,10.58
"NCNN 20220729 - Target: Vulkan GPU - Model: mnasnet",
Lower Results Are Better
"A",3.49,3.43,3.43
"B",3.54,3.44,3.45
"C",3.43,3.64
"NCNN 20220729 - Target: Vulkan GPU - Model: shufflenet-v2",
Lower Results Are Better
"A",2.76,2.5,2.64
"B",2.67,2.49,2.79
"C",2.55,2.59,2.71
"NCNN 20220729 - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3",
Lower Results Are Better
"A",3.69,3.93,3.79
"B",3.8,3.76,3.76
"C",3.8,3.77,3.78
"NCNN 20220729 - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2",
Lower Results Are Better
"A",3.68,3.64,3.36
"B",3.38,3.38,3.56
"C",3.54,3.43,3.62
"NCNN 20220729 - Target: Vulkan GPU - Model: mobilenet",
Lower Results Are Better
"A",10.9,11.24,11.12
"B",11.02,11,10.62
"C",11.01,11.08,10.89
"NCNN 20220729 - Target: CPU - Model: FastestDet",
Lower Results Are Better
"A",3.16,3.16,3.45
"B",3.09,3.34,3.19
"C",3.41,3.14,3.26
"NCNN 20220729 - Target: CPU - Model: vision_transformer",
Lower Results Are Better
"A",230.53,229.88,229.6
"B",231.35,231.55,231.45
"C",231.26,231.12,231.34
"NCNN 20220729 - Target: CPU - Model: regnety_400m",
Lower Results Are Better
"A",8.35,8.16,8.36
"B",8.22,8.47,8.27
"C",8.23,8.24,8.47
"NCNN 20220729 - Target: CPU - Model: squeezenet_ssd",
Lower Results Are Better
"A",18.59,18.36,18.56
"B",18.56,18.35,18.28
"C",18.36,18.24,18.52
"NCNN 20220729 - Target: CPU - Model: yolov4-tiny",
Lower Results Are Better
"A",25.56,25.92,25.7
"B",25.8,25.12,25.58
"C",25.25,25.2,25.77
"NCNN 20220729 - Target: CPU - Model: resnet50",
Lower Results Are Better
"A",21.97,21.89,22.9
"B",22.64,21.94,22.11
"C",22.5,22.3,22.67
"NCNN 20220729 - Target: CPU - Model: alexnet",
Lower Results Are Better
"A",9.56,9.82,10.01
"B",9.65,9.73,9.96
"C",9.58,9.9,10.13
"NCNN 20220729 - Target: CPU - Model: resnet18",
Lower Results Are Better
"A",11.54,11.34,12.01
"B",11.27,11.36,11.44
"C",11.42,11.27,12.22
"NCNN 20220729 - Target: CPU - Model: vgg16",
Lower Results Are Better
"A",61.2,61.02,61.66
"B",61.94,61.2,61.54
"C",61.31,60.99,61.96
"NCNN 20220729 - Target: CPU - Model: googlenet",
Lower Results Are Better
"A",12.74,12.58,12.99
"B",12.51,12.88,12.67
"C",12.6,12.8,13.42
"NCNN 20220729 - Target: CPU - Model: blazeface",
Lower Results Are Better
"A",0.9,0.94,0.9
"B",0.9,0.94,0.9
"C",0.93,0.89,1.05
"NCNN 20220729 - Target: CPU - Model: efficientnet-b0",
Lower Results Are Better
"A",6.57,6.42,6.57
"B",6.62,6.5,6.57
"C",6.47,6.44,6.97
"NCNN 20220729 - Target: CPU - Model: mnasnet",
Lower Results Are Better
"A",3.28,3.18,3.3
"B",3.2,3.44,3.25
"C",3.28,3.69
"NCNN 20220729 - Target: CPU - Model: shufflenet-v2",
Lower Results Are Better
"A",2.63,2.69,2.62
"B",2.65,2.8,2.73
"C",2.6,2.63,2.69
"NCNN 20220729 - Target: CPU-v3-v3 - Model: mobilenet-v3",
Lower Results Are Better
"A",3.34,3.25,3.36
"B",3.19,3.4,3.32
"C",3.32,3.33,3.58
"NCNN 20220729 - Target: CPU-v2-v2 - Model: mobilenet-v2",
Lower Results Are Better
"A",4.14,4.06,4.12
"B",4.09,4.26,4.13
"C",4.05,4.11,4.7
"NCNN 20220729 - Target: CPU - Model: mobilenet",
Lower Results Are Better
"A",15.48,15.81,15.98
"B",15.94,15.39,16.15
"C",15.31,15.01,15.59
"Mobile Neural Network 2.0 - Model: inception-v3",
Lower Results Are Better
"A",35.551,35.678,36.323
"B",35.563,36.418,36.054
"C",35.982,36.412,35.792
"Mobile Neural Network 2.0 - Model: mobilenet-v1-1.0",
Lower Results Are Better
"A",2.935,2.908,2.905
"B",2.934,2.957,2.901
"C",2.925,2.913,2.915
"Mobile Neural Network 2.0 - Model: MobileNetV2_224",
Lower Results Are Better
"A",2.978,2.991,3.12
"B",3.054,3.108,3.009
"C",3.018,3.022,2.986
"Mobile Neural Network 2.0 - Model: SqueezeNetV1.0",
Lower Results Are Better
"A",6.048,6.069,6.095
"B",6.075,6.19,6.079
"C",6.126,6.085,6.073
"Mobile Neural Network 2.0 - Model: resnet-v2-50",
Lower Results Are Better
"A",26.163,26.156,26.24
"B",26.116,26.323,26.269
"C",26.397,26.284,26.25
"Mobile Neural Network 2.0 - Model: squeezenetv1.1",
Lower Results Are Better
"A",3.074,3.054,3.202
"B",3.064,3.241,3.116
"C",3.095,3.184,3.061
"Mobile Neural Network 2.0 - Model: mobilenetV3",
Lower Results Are Better
"A",1.513,1.55,1.556
"B",1.552,1.57,1.543
"C",1.546,1.548,1.545