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MobileNet-v2

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@@ -36,39 +36,39 @@ More details on model performance across various devices, can be found
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  | Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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  |---|---|---|---|---|---|---|---|---|
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- | MobileNet-v2 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 0.877 ms | 0 - 40 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
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- | MobileNet-v2 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 1.09 ms | 1 - 49 MB | FP16 | NPU | [MobileNet-v2.so](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.so) |
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- | MobileNet-v2 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 0.907 ms | 0 - 35 MB | FP16 | NPU | [MobileNet-v2.onnx](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.onnx) |
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- | MobileNet-v2 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 0.587 ms | 0 - 26 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
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- | MobileNet-v2 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.721 ms | 0 - 22 MB | FP16 | NPU | [MobileNet-v2.so](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.so) |
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- | MobileNet-v2 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 0.611 ms | 0 - 26 MB | FP16 | NPU | [MobileNet-v2.onnx](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.onnx) |
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- | MobileNet-v2 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 0.605 ms | 0 - 24 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
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- | MobileNet-v2 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.733 ms | 0 - 21 MB | FP16 | NPU | Use Export Script |
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- | MobileNet-v2 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 0.563 ms | 1 - 24 MB | FP16 | NPU | [MobileNet-v2.onnx](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.onnx) |
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- | MobileNet-v2 | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 0.883 ms | 0 - 50 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
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- | MobileNet-v2 | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 1.043 ms | 1 - 4 MB | FP16 | NPU | Use Export Script |
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- | MobileNet-v2 | SA7255P ADP | SA7255P | TFLITE | 12.919 ms | 0 - 13 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
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- | MobileNet-v2 | SA7255P ADP | SA7255P | QNN | 13.26 ms | 1 - 10 MB | FP16 | NPU | Use Export Script |
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- | MobileNet-v2 | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 0.881 ms | 0 - 49 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
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- | MobileNet-v2 | SA8255 (Proxy) | SA8255P Proxy | QNN | 1.034 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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- | MobileNet-v2 | SA8295P ADP | SA8295P | TFLITE | 1.469 ms | 0 - 19 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
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- | MobileNet-v2 | SA8295P ADP | SA8295P | QNN | 1.923 ms | 0 - 14 MB | FP16 | NPU | Use Export Script |
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- | MobileNet-v2 | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 0.882 ms | 0 - 50 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
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- | MobileNet-v2 | SA8650 (Proxy) | SA8650P Proxy | QNN | 1.049 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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- | MobileNet-v2 | SA8775P ADP | SA8775P | TFLITE | 1.469 ms | 0 - 14 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
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- | MobileNet-v2 | SA8775P ADP | SA8775P | QNN | 1.876 ms | 1 - 11 MB | FP16 | NPU | Use Export Script |
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- | MobileNet-v2 | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 1.081 ms | 0 - 24 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
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- | MobileNet-v2 | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 1.28 ms | 1 - 23 MB | FP16 | NPU | Use Export Script |
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- | MobileNet-v2 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 1.189 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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- | MobileNet-v2 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 0.967 ms | 9 - 9 MB | FP16 | NPU | [MobileNet-v2.onnx](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.onnx) |
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  ## Installation
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- This model can be installed as a Python package via pip.
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  ```bash
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  pip install qai-hub-models
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  ```
@@ -125,7 +125,7 @@ MobileNet-v2
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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  Estimated inference time (ms) : 0.9
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- Estimated peak memory usage (MB): [0, 40]
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  Total # Ops : 71
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  Compute Unit(s) : NPU (71 ops)
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  ```
@@ -152,7 +152,7 @@ from qai_hub_models.models.mobilenet_v2 import Model
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  torch_model = Model.from_pretrained()
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  # Device
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- device = hub.Device("Samsung Galaxy S23")
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  # Trace model
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  input_shape = torch_model.get_input_spec()
@@ -244,7 +244,8 @@ Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)
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  ## License
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- * The license for the original implementation of MobileNet-v2 can be found [here](https://github.com/tonylins/pytorch-mobilenet-v2/blob/master/LICENSE).
 
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  * The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf)
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  | Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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  |---|---|---|---|---|---|---|---|---|
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+ | MobileNet-v2 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 0.883 ms | 0 - 39 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
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+ | MobileNet-v2 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 1.093 ms | 1 - 49 MB | FP16 | NPU | [MobileNet-v2.so](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.so) |
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+ | MobileNet-v2 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 0.897 ms | 0 - 35 MB | FP16 | NPU | [MobileNet-v2.onnx](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.onnx) |
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+ | MobileNet-v2 | Samsung Galaxy S24 | Snapdragon�� 8 Gen 3 | TFLITE | 0.586 ms | 0 - 26 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
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+ | MobileNet-v2 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.723 ms | 1 - 23 MB | FP16 | NPU | [MobileNet-v2.so](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.so) |
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+ | MobileNet-v2 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 0.617 ms | 0 - 27 MB | FP16 | NPU | [MobileNet-v2.onnx](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.onnx) |
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+ | MobileNet-v2 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 0.636 ms | 0 - 23 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
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+ | MobileNet-v2 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.733 ms | 1 - 22 MB | FP16 | NPU | Use Export Script |
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+ | MobileNet-v2 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 0.641 ms | 0 - 21 MB | FP16 | NPU | [MobileNet-v2.onnx](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.onnx) |
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+ | MobileNet-v2 | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 0.884 ms | 0 - 40 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
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+ | MobileNet-v2 | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 1.042 ms | 1 - 4 MB | FP16 | NPU | Use Export Script |
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+ | MobileNet-v2 | SA7255P ADP | SA7255P | TFLITE | 12.777 ms | 0 - 13 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
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+ | MobileNet-v2 | SA7255P ADP | SA7255P | QNN | 13.166 ms | 1 - 10 MB | FP16 | NPU | Use Export Script |
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+ | MobileNet-v2 | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 0.887 ms | 0 - 5 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
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+ | MobileNet-v2 | SA8255 (Proxy) | SA8255P Proxy | QNN | 1.041 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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+ | MobileNet-v2 | SA8295P ADP | SA8295P | TFLITE | 1.472 ms | 0 - 19 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
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+ | MobileNet-v2 | SA8295P ADP | SA8295P | QNN | 1.905 ms | 0 - 14 MB | FP16 | NPU | Use Export Script |
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+ | MobileNet-v2 | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 0.881 ms | 0 - 50 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
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+ | MobileNet-v2 | SA8650 (Proxy) | SA8650P Proxy | QNN | 1.035 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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+ | MobileNet-v2 | SA8775P ADP | SA8775P | TFLITE | 1.478 ms | 0 - 14 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
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+ | MobileNet-v2 | SA8775P ADP | SA8775P | QNN | 1.872 ms | 1 - 11 MB | FP16 | NPU | Use Export Script |
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+ | MobileNet-v2 | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 1.045 ms | 0 - 17 MB | FP16 | NPU | [MobileNet-v2.tflite](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.tflite) |
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+ | MobileNet-v2 | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 1.268 ms | 1 - 25 MB | FP16 | NPU | Use Export Script |
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+ | MobileNet-v2 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 1.225 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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+ | MobileNet-v2 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 0.963 ms | 9 - 9 MB | FP16 | NPU | [MobileNet-v2.onnx](https://huggingface.co/qualcomm/MobileNet-v2/blob/main/MobileNet-v2.onnx) |
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  ## Installation
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+ Install the package via pip:
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  ```bash
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  pip install qai-hub-models
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  ```
 
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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  Estimated inference time (ms) : 0.9
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+ Estimated peak memory usage (MB): [0, 39]
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  Total # Ops : 71
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  Compute Unit(s) : NPU (71 ops)
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  ```
 
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  torch_model = Model.from_pretrained()
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  # Device
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+ device = hub.Device("Samsung Galaxy S24")
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  # Trace model
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  input_shape = torch_model.get_input_spec()
 
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  ## License
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+ * The license for the original implementation of MobileNet-v2 can be found
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+ [here](https://github.com/tonylins/pytorch-mobilenet-v2/blob/master/LICENSE).
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  * The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf)
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