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This folder contains building code for MobileNetV2, based on
This is the timing of vs MobileNetV2 using TF-Lite on the large core of Pixel 1 phone.
MACs, also sometimes known as MADDs - the number of multiply-accumulates needed to compute an inference on a single image is a common metric to measure the efficiency of the model.
Classification Checkpoint
MACs (M)
Parameters (M)
Top 1 Accuracy
Top 5 Accuracy
Mobile CPU (ms) Pixel 1
582
6.06
75.0
92.5
138.0
509
5.34
74.4
92.1
123.0
300
3.47
71.8
91.0
73.8
221
3.47
70.7
90.1
55.1
154
3.47
68.8
89.0
40.2
99
3.47
65.3
86.9
27.6
56
3.47
60.3
83.2
17.6
209
2.61
69.8
89.6
55.8
153
2.61
68.7
88.9
41.6
107
2.61
66.4
87.3
30.4
69
2.61
63.2
85.3
21.9
39
2.61
58.8
81.6
14.2
97
1.95
65.4
86.4
28.7
71
1.95
63.9
85.4
21.1
50
1.95
61.0
83.2
14.9
32
1.95
57.7
80.8
9.9
18
1.95
51.2
75.8
6.4
59
1.66
60.3
82.9
19.7
43
1.66
58.2
81.2
14.6
30
1.66
55.7
79.1
10.5
20
1.66
50.8
75.0
6.9
11
1.66
45.5
70.4
4.5
Below is the graph comparing V2 vs a few selected networks. The size of each blob represents the number of parameters. Note for there are no published size numbers. We estimate it to be comparable to MobileNetV2 numbers.
See this or open and run the network directly in .
