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EfficientNet-B0

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ONNX
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@@ -35,39 +35,38 @@ 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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- | EfficientNet-B0 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 1.61 ms | 0 - 91 MB | FP16 | NPU | [EfficientNet-B0.tflite](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.tflite) |
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- | EfficientNet-B0 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 1.673 ms | 0 - 82 MB | FP16 | NPU | [EfficientNet-B0.so](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.so) |
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- | EfficientNet-B0 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 1.6 ms | 0 - 95 MB | FP16 | NPU | [EfficientNet-B0.onnx](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.onnx) |
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- | EfficientNet-B0 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 1.12 ms | 0 - 24 MB | FP16 | NPU | [EfficientNet-B0.tflite](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.tflite) |
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- | EfficientNet-B0 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 1.173 ms | 0 - 26 MB | FP16 | NPU | [EfficientNet-B0.so](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.so) |
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- | EfficientNet-B0 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 1.17 ms | 1 - 29 MB | FP16 | NPU | [EfficientNet-B0.onnx](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.onnx) |
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- | EfficientNet-B0 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 1.125 ms | 0 - 17 MB | FP16 | NPU | [EfficientNet-B0.tflite](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.tflite) |
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- | EfficientNet-B0 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.977 ms | 0 - 26 MB | FP16 | NPU | Use Export Script |
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- | EfficientNet-B0 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 1.179 ms | 0 - 23 MB | FP16 | NPU | [EfficientNet-B0.onnx](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.onnx) |
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- | EfficientNet-B0 | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 1.61 ms | 0 - 91 MB | FP16 | NPU | [EfficientNet-B0.tflite](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.tflite) |
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- | EfficientNet-B0 | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 1.575 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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- | EfficientNet-B0 | SA7255P ADP | SA7255P | TFLITE | 22.493 ms | 0 - 16 MB | FP16 | NPU | [EfficientNet-B0.tflite](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.tflite) |
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- | EfficientNet-B0 | SA7255P ADP | SA7255P | QNN | 22.515 ms | 1 - 10 MB | FP16 | NPU | Use Export Script |
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- | EfficientNet-B0 | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 1.604 ms | 0 - 91 MB | FP16 | NPU | [EfficientNet-B0.tflite](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.tflite) |
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- | EfficientNet-B0 | SA8255 (Proxy) | SA8255P Proxy | QNN | 1.57 ms | 0 - 2 MB | FP16 | NPU | Use Export Script |
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- | EfficientNet-B0 | SA8295P ADP | SA8295P | TFLITE | 3.769 ms | 0 - 25 MB | FP16 | NPU | [EfficientNet-B0.tflite](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.tflite) |
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- | EfficientNet-B0 | SA8295P ADP | SA8295P | QNN | 3.689 ms | 0 - 14 MB | FP16 | NPU | Use Export Script |
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- | EfficientNet-B0 | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 1.614 ms | 0 - 92 MB | FP16 | NPU | [EfficientNet-B0.tflite](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.tflite) |
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- | EfficientNet-B0 | SA8650 (Proxy) | SA8650P Proxy | QNN | 1.575 ms | 0 - 2 MB | FP16 | NPU | Use Export Script |
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- | EfficientNet-B0 | SA8775P ADP | SA8775P | TFLITE | 2.551 ms | 0 - 15 MB | FP16 | NPU | [EfficientNet-B0.tflite](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.tflite) |
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- | EfficientNet-B0 | SA8775P ADP | SA8775P | QNN | 2.693 ms | 1 - 11 MB | FP16 | NPU | Use Export Script |
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- | EfficientNet-B0 | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 3.085 ms | 0 - 27 MB | FP16 | NPU | [EfficientNet-B0.tflite](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.tflite) |
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- | EfficientNet-B0 | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 3.201 ms | 1 - 26 MB | FP16 | NPU | Use Export Script |
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- | EfficientNet-B0 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 1.764 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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- | EfficientNet-B0 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 1.672 ms | 15 - 15 MB | FP16 | NPU | [EfficientNet-B0.onnx](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.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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  ```
@@ -151,7 +150,7 @@ from qai_hub_models.models.efficientnet_b0 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()
@@ -243,7 +242,8 @@ 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 EfficientNet-B0 can be found [here](https://github.com/pytorch/vision/blob/main/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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+ | EfficientNet-B0 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 1.604 ms | 0 - 91 MB | FP16 | NPU | [EfficientNet-B0.tflite](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.tflite) |
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+ | EfficientNet-B0 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 1.672 ms | 0 - 82 MB | FP16 | NPU | [EfficientNet-B0.so](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.so) |
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+ | EfficientNet-B0 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 1.605 ms | 0 - 76 MB | FP16 | NPU | [EfficientNet-B0.onnx](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.onnx) |
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+ | EfficientNet-B0 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 1.128 ms | 0 - 22 MB | FP16 | NPU | [EfficientNet-B0.tflite](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.tflite) |
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+ | EfficientNet-B0 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 1.178 ms | 1 - 25 MB | FP16 | NPU | [EfficientNet-B0.so](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.so) |
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+ | EfficientNet-B0 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 1.14 ms | 0 - 28 MB | FP16 | NPU | [EfficientNet-B0.onnx](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.onnx) |
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+ | EfficientNet-B0 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 1.133 ms | 0 - 23 MB | FP16 | NPU | [EfficientNet-B0.tflite](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.tflite) |
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+ | EfficientNet-B0 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.964 ms | 1 - 23 MB | FP16 | NPU | Use Export Script |
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+ | EfficientNet-B0 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 1.21 ms | 1 - 27 MB | FP16 | NPU | [EfficientNet-B0.onnx](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.onnx) |
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+ | EfficientNet-B0 | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 1.603 ms | 0 - 91 MB | FP16 | NPU | [EfficientNet-B0.tflite](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.tflite) |
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+ | EfficientNet-B0 | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 1.573 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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+ | EfficientNet-B0 | SA7255P ADP | SA7255P | TFLITE | 22.4 ms | 0 - 15 MB | FP16 | NPU | [EfficientNet-B0.tflite](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.tflite) |
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+ | EfficientNet-B0 | SA7255P ADP | SA7255P | QNN | 22.377 ms | 1 - 9 MB | FP16 | NPU | Use Export Script |
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+ | EfficientNet-B0 | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 1.599 ms | 0 - 81 MB | FP16 | NPU | [EfficientNet-B0.tflite](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.tflite) |
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+ | EfficientNet-B0 | SA8255 (Proxy) | SA8255P Proxy | QNN | 1.569 ms | 0 - 2 MB | FP16 | NPU | Use Export Script |
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+ | EfficientNet-B0 | SA8295P ADP | SA8295P | TFLITE | 3.826 ms | 0 - 25 MB | FP16 | NPU | [EfficientNet-B0.tflite](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.tflite) |
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+ | EfficientNet-B0 | SA8295P ADP | SA8295P | QNN | 3.872 ms | 0 - 15 MB | FP16 | NPU | Use Export Script |
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+ | EfficientNet-B0 | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 1.6 ms | 0 - 82 MB | FP16 | NPU | [EfficientNet-B0.tflite](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.tflite) |
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+ | EfficientNet-B0 | SA8650 (Proxy) | SA8650P Proxy | QNN | 1.572 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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+ | EfficientNet-B0 | SA8775P ADP | SA8775P | TFLITE | 2.558 ms | 0 - 16 MB | FP16 | NPU | [EfficientNet-B0.tflite](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.tflite) |
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+ | EfficientNet-B0 | SA8775P ADP | SA8775P | QNN | 2.698 ms | 0 - 10 MB | FP16 | NPU | Use Export Script |
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+ | EfficientNet-B0 | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 3.189 ms | 1 - 30 MB | FP16 | NPU | Use Export Script |
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+ | EfficientNet-B0 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 1.756 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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+ | EfficientNet-B0 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 1.696 ms | 15 - 15 MB | FP16 | NPU | [EfficientNet-B0.onnx](https://huggingface.co/qualcomm/EfficientNet-B0/blob/main/EfficientNet-B0.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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  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 EfficientNet-B0 can be found
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+ [here](https://github.com/pytorch/vision/blob/main/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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