AMD Ryzen 9 5900HX testing with a ASUS G513QY v1.0 (G513QY.318 BIOS) and ASUS AMD Cezanne 512MB on Arch rolling 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 2208131-NE-NCNNMNN5973
ncnn mnn 5900HX,
"Mobile Neural Network 2.0 - Model: mobilenetV3",
Lower Results Are Better
"A",1.133,1.131,1.144
"B",1.129,1.144,1.137
"C",1.134,1.133,1.157
"Mobile Neural Network 2.0 - Model: squeezenetv1.1",
Lower Results Are Better
"A",2.406,2.329,2.411
"B",2.37,2.441,2.418
"C",2.403,2.406,2.406
"Mobile Neural Network 2.0 - Model: resnet-v2-50",
Lower Results Are Better
"A",21.101,21.222,21.458
"B",21.363,21.38,21.323
"C",21.003,21.217,21.457
"Mobile Neural Network 2.0 - Model: SqueezeNetV1.0",
Lower Results Are Better
"A",4.471,4.372,4.547
"B",4.465,4.598,4.507
"C",4.488,4.496,4.534
"Mobile Neural Network 2.0 - Model: MobileNetV2_224",
Lower Results Are Better
"A",2.515,2.455,2.499
"B",2.401,2.442,2.485
"C",2.457,2.484,2.472
"Mobile Neural Network 2.0 - Model: mobilenet-v1-1.0",
Lower Results Are Better
"A",2.368,2.364,2.376
"B",2.359,2.317,2.378
"C",2.387,2.267,2.348
"Mobile Neural Network 2.0 - Model: inception-v3",
Lower Results Are Better
"A",27.903,28.061,28.047
"B",28.491,28.17,28.696
"C",28.801,29.284,28.278
"NCNN 20220729 - Target: CPU - Model: mobilenet",
Lower Results Are Better
"A",15.06,14.9,14.97
"B",15.67,14.96,15.08
"C",15.72,15.06,15.11
"NCNN 20220729 - Target: CPU-v2-v2 - Model: mobilenet-v2",
Lower Results Are Better
"A",4.17,4.21,4.13
"B",4.18,4.19,4.19
"C",4.18,4.13,4.1
"NCNN 20220729 - Target: CPU-v3-v3 - Model: mobilenet-v3",
Lower Results Are Better
"A",3.05,3.12,3.04
"B",3.03,2.94,3.07
"C",3.01,3.12,2.94
"NCNN 20220729 - Target: CPU - Model: shufflenet-v2",
Lower Results Are Better
"A",2.21,2.29,2.26
"B",2.22,2.17,2.23
"C",2.36,2.2,2.28
"NCNN 20220729 - Target: CPU - Model: mnasnet",
Lower Results Are Better
"A",2.75,2.81,2.88
"B",2.77,2.7,2.72
"C",2.73,2.74,2.69
"NCNN 20220729 - Target: CPU - Model: efficientnet-b0",
Lower Results Are Better
"A",5.8,5.81,5.73
"B",5.84,5.72,5.79
"C",5.8,5.76,5.68
"NCNN 20220729 - Target: CPU - Model: blazeface",
Lower Results Are Better
"A",0.77,0.76,0.77
"B",0.76,0.78,0.77
"C",0.76,0.76,0.76
"NCNN 20220729 - Target: CPU - Model: googlenet",
Lower Results Are Better
"A",13.94,13.99,13.95
"B",14.11,13.89,14.02
"C",14.05,13.88,14.08
"NCNN 20220729 - Target: CPU - Model: vgg16",
Lower Results Are Better
"A",73.04,73.04,73.25
"B",73.26,72.96,72.94
"C",72.93,73,72.86
"NCNN 20220729 - Target: CPU - Model: resnet18",
Lower Results Are Better
"A",12.45,12.43,12.48
"B",12.67,12.67,12.66
"C",12.46,12.58,12.58
"NCNN 20220729 - Target: CPU - Model: alexnet",
Lower Results Are Better
"A",10.66,10.64,10.7
"B",10.87,10.79,10.8
"C",10.65,10.65,10.64
"NCNN 20220729 - Target: CPU - Model: resnet50",
Lower Results Are Better
"A",22.85,22.94,23.06
"B",23.37,22.98,23.01
"C",22.88,22.75,22.76
"NCNN 20220729 - Target: CPU - Model: yolov4-tiny",
Lower Results Are Better
"A",27.48,27.42,27.37
"B",27.31,27.37,27.7
"C",27.81,27.44,27.52
"NCNN 20220729 - Target: CPU - Model: squeezenet_ssd",
Lower Results Are Better
"A",20.9,20.84,20.87
"B",21.06,20.88,20.89
"C",21.22,20.81,20.78
"NCNN 20220729 - Target: CPU - Model: regnety_400m",
Lower Results Are Better
"A",7.08,7.13,7.15
"B",7.15,7.01,7.14
"C",7.08,7.14,7.02
"NCNN 20220729 - Target: CPU - Model: vision_transformer",
Lower Results Are Better
"A",166,165.37,165.57
"B",168.81,165.26,169.89
"C",165.76,165.71,166.3
"NCNN 20220729 - Target: CPU - Model: FastestDet",
Lower Results Are Better
"A",2.57,2.56,2.57
"B",2.6,2.58,2.61
"C",2.77,2.57,2.72
"NCNN 20220729 - Target: Vulkan GPU - Model: mobilenet",
Lower Results Are Better
"A",4.46,4.47,4.5
"B",4.52,4.44,4.49
"C",4.5,4.51,4.47
"NCNN 20220729 - Target: Vulkan GPU-v2-v2 - Model: mobilenet-v2",
Lower Results Are Better
"A",1.88,1.88,1.88
"B",1.92,1.92,1.92
"C",1.92,1.92,1.93
"NCNN 20220729 - Target: Vulkan GPU-v3-v3 - Model: mobilenet-v3",
Lower Results Are Better
"A",2.29,2.3,2.3
"B",2.34,2.34,2.34
"C",2.35,2.35,2.36
"NCNN 20220729 - Target: Vulkan GPU - Model: shufflenet-v2",
Lower Results Are Better
"A",1.77,1.77,1.77
"B",1.82,1.82,1.82
"C",1.82,1.82,1.84
"NCNN 20220729 - Target: Vulkan GPU - Model: mnasnet",
Lower Results Are Better
"A",1.9,1.89,1.89
"B",1.93,1.93,1.93
"C",1.94,1.93,1.95
"NCNN 20220729 - Target: Vulkan GPU - Model: efficientnet-b0",
Lower Results Are Better
"A",5.03,5.02,5.02
"B",5.08,5.05,5.05
"C",5.08,5.09,5.09
"NCNN 20220729 - Target: Vulkan GPU - Model: blazeface",
Lower Results Are Better
"A",1.06,1.06,1.1
"B",1.11,1.11,1.11
"C",1.1,1.11,1.13
"NCNN 20220729 - Target: Vulkan GPU - Model: googlenet",
Lower Results Are Better
"A",3.87,3.59,3.9
"B",3.93,3.95,3.95
"C",3.93,3.96,4
"NCNN 20220729 - Target: Vulkan GPU - Model: vgg16",
Lower Results Are Better
"A",7.09,7.29,7.16
"B",7.31,7.12,7.21
"C",7.22,7.13,7.3
"NCNN 20220729 - Target: Vulkan GPU - Model: resnet18",
Lower Results Are Better
"A",2.3,2.35
"B",2.3,2.3,2.3
"C",2.31,2.3,2.35
"NCNN 20220729 - Target: Vulkan GPU - Model: alexnet",
Lower Results Are Better
"A",1.64,1.65,1.68
"B",1.65,1.65,1.65
"C",1.64,1.65,1.68
"NCNN 20220729 - Target: Vulkan GPU - Model: yolov4-tiny",
Lower Results Are Better
"A",6.66,6.66,6.69
"B",6.65,6.64,6.66
"C",6.67,6.67,6.69
"NCNN 20220729 - Target: Vulkan GPU - Model: squeezenet_ssd",
Lower Results Are Better
"A",4.03,4.03,4.08
"B",4.1,4.07,4.07
"C",4.12,4.13,3.7
"NCNN 20220729 - Target: Vulkan GPU - Model: regnety_400m",
Lower Results Are Better
"A",2.99,2.99,3.03
"B",3.03,3.04,3.03
"C",3.04,3.04,3.09
"NCNN 20220729 - Target: Vulkan GPU - Model: vision_transformer",
Lower Results Are Better
"A",148.97,146.82,147.7
"B",146.09,146.35,145.55
"C",145.99,145.36,146.12
"NCNN 20220729 - Target: Vulkan GPU - Model: FastestDet",
Lower Results Are Better
"A",1.86,1.87,1.85
"B",1.91,1.9
"C",1.9,1.91,1.91
"NCNN 20220729 - Target: Vulkan GPU - Model: resnet50",
Lower Results Are Better
"A",5.06,5.05
"B",5.03,5.08
"C",5.08,5.07