Hugging Face's logo

qualcomm
/
MobileNet-v2

Image Classification
PyTorch
TF Lite
ONNX
backbone
real_time
android
Model card Files Community
qaihm-bot commited on
Commit
14ce8f2
•
1 Parent(s): 9ff9f99

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +24 -25
README.md CHANGED
@@ -1,7 +1,4 @@
1
  ---
2
- datasets:
3
- - imagenet-1k
4
- - imagenet-22k
5
  library_name: pytorch
6
  license: bsd-3-clause
7
  pipeline_tag: image-classification
@@ -39,27 +36,29 @@ More details on model performance across various devices, can be found
39
 
40
  | Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
41
  |---|---|---|---|---|---|---|---|---|
42
- | MobileNet-v2 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 0.905 ms | 0 - 175 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
43
- | MobileNet-v2 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 1.253 ms | 0 - 37 MB | FP16 | NPU | [MobileNet-v2.so](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.so) |
44
- | MobileNet-v2 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 0.919 ms | 0 - 2 MB | FP16 | NPU | [MobileNet-v2.onnx](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.onnx) |
45
- | MobileNet-v2 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 0.623 ms | 0 - 62 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
46
- | MobileNet-v2 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.862 ms | 1 - 15 MB | FP16 | NPU | [MobileNet-v2.so](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.so) |
47
- | MobileNet-v2 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 0.678 ms | 0 - 66 MB | FP16 | NPU | [MobileNet-v2.onnx](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.onnx) |
48
- | MobileNet-v2 | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 0.902 ms | 0 - 1 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
49
- | MobileNet-v2 | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 1.188 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
50
- | MobileNet-v2 | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 0.906 ms | 0 - 8 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
51
- | MobileNet-v2 | SA8255 (Proxy) | SA8255P Proxy | QNN | 1.188 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
52
- | MobileNet-v2 | SA8775 (Proxy) | SA8775P Proxy | TFLITE | 0.901 ms | 0 - 2 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
53
- | MobileNet-v2 | SA8775 (Proxy) | SA8775P Proxy | QNN | 1.189 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
54
- | MobileNet-v2 | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 0.902 ms | 0 - 23 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
55
- | MobileNet-v2 | SA8650 (Proxy) | SA8650P Proxy | QNN | 1.191 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
56
- | MobileNet-v2 | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 1.083 ms | 0 - 63 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
57
- | MobileNet-v2 | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 1.43 ms | 1 - 19 MB | FP16 | NPU | Use Export Script |
58
- | MobileNet-v2 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 0.503 ms | 0 - 24 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
59
- | MobileNet-v2 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.848 ms | 0 - 14 MB | FP16 | NPU | Use Export Script |
60
- | MobileNet-v2 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 0.681 ms | 0 - 24 MB | FP16 | NPU | [MobileNet-v2.onnx](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.onnx) |
61
- | MobileNet-v2 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 1.348 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
62
- | MobileNet-v2 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 0.971 ms | 9 - 9 MB | FP16 | NPU | [MobileNet-v2.onnx](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.onnx) |
 
 
63
 
64
 
65
 
@@ -124,7 +123,7 @@ MobileNet-v2
124
  Device : Samsung Galaxy S23 (13)
125
  Runtime : TFLITE
126
  Estimated inference time (ms) : 0.9
127
- Estimated peak memory usage (MB): [0, 175]
128
  Total # Ops : 72
129
  Compute Unit(s) : NPU (72 ops)
130
  ```
 
1
  ---
 
 
 
2
  library_name: pytorch
3
  license: bsd-3-clause
4
  pipeline_tag: image-classification
 
36
 
37
  | Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
38
  |---|---|---|---|---|---|---|---|---|
39
+ | MobileNet-v2 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 0.905 ms | 0 - 177 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
40
+ | MobileNet-v2 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 1.249 ms | 1 - 66 MB | FP16 | NPU | [MobileNet-v2.so](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.so) |
41
+ | MobileNet-v2 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 0.919 ms | 1 - 2 MB | FP16 | NPU | [MobileNet-v2.onnx](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.onnx) |
42
+ | MobileNet-v2 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 0.609 ms | 0 - 61 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
43
+ | MobileNet-v2 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.839 ms | 0 - 16 MB | FP16 | NPU | [MobileNet-v2.so](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.so) |
44
+ | MobileNet-v2 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 0.659 ms | 0 - 66 MB | FP16 | NPU | [MobileNet-v2.onnx](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.onnx) |
45
+ | MobileNet-v2 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 0.631 ms | 0 - 24 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
46
+ | MobileNet-v2 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.875 ms | 0 - 14 MB | FP16 | NPU | Use Export Script |
47
+ | MobileNet-v2 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 0.564 ms | 0 - 24 MB | FP16 | NPU | [MobileNet-v2.onnx](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.onnx) |
48
+ | MobileNet-v2 | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 0.903 ms | 0 - 4 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
49
+ | MobileNet-v2 | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 1.183 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
50
+ | MobileNet-v2 | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 0.903 ms | 0 - 49 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
51
+ | MobileNet-v2 | SA8255 (Proxy) | SA8255P Proxy | QNN | 1.192 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
52
+ | MobileNet-v2 | SA8775 (Proxy) | SA8775P Proxy | TFLITE | 0.906 ms | 0 - 177 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
53
+ | MobileNet-v2 | SA8775 (Proxy) | SA8775P Proxy | QNN | 1.191 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
54
+ | MobileNet-v2 | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 0.903 ms | 0 - 1 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
55
+ | MobileNet-v2 | SA8650 (Proxy) | SA8650P Proxy | QNN | 1.194 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
56
+ | MobileNet-v2 | SA8295P ADP | SA8295P | TFLITE | 1.511 ms | 0 - 24 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
57
+ | MobileNet-v2 | SA8295P ADP | SA8295P | QNN | 2.564 ms | 0 - 6 MB | FP16 | NPU | Use Export Script |
58
+ | MobileNet-v2 | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 1.074 ms | 0 - 63 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
59
+ | MobileNet-v2 | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 1.434 ms | 1 - 17 MB | FP16 | NPU | Use Export Script |
60
+ | MobileNet-v2 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 1.384 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
61
+ | MobileNet-v2 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 0.986 ms | 8 - 8 MB | FP16 | NPU | [MobileNet-v2.onnx](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.onnx) |
62
 
63
 
64
 
 
123
  Device : Samsung Galaxy S23 (13)
124
  Runtime : TFLITE
125
  Estimated inference time (ms) : 0.9
126
+ Estimated peak memory usage (MB): [0, 177]
127
  Total # Ops : 72
128
  Compute Unit(s) : NPU (72 ops)
129
  ```