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Upload README.md with huggingface_hub

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@@ -1,6 +1,6 @@
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  ---
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  library_name: pytorch
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- license: bsd-3-clause
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  tags:
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  - backbone
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  - android
@@ -26,34 +26,47 @@ More details on model performance across various devices, can be found
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  ### Model Details
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- - **Model Type:** Image classification
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  - **Model Stats:**
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  - Model checkpoint: Imagenet
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  - Input resolution: 384x384
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  - Number of parameters: 21.45M
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  - Model size: 82.7 MB
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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-V2-s | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 2.679 ms | 0 - 324 MB | FP16 | NPU | [EfficientNet-V2-s.tflite](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.tflite) |
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- | EfficientNet-V2-s | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 2.693 ms | 0 - 144 MB | FP16 | NPU | [EfficientNet-V2-s.so](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.so) |
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- | EfficientNet-V2-s | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 2.596 ms | 0 - 98 MB | FP16 | NPU | [EfficientNet-V2-s.onnx](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.onnx) |
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- | EfficientNet-V2-s | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 2.0 ms | 0 - 99 MB | FP16 | NPU | [EfficientNet-V2-s.tflite](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.tflite) |
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- | EfficientNet-V2-s | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 2.022 ms | 1 - 59 MB | FP16 | NPU | [EfficientNet-V2-s.so](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.so) |
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- | EfficientNet-V2-s | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 1.906 ms | 0 - 74 MB | FP16 | NPU | [EfficientNet-V2-s.onnx](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.onnx) |
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- | EfficientNet-V2-s | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 1.852 ms | 0 - 75 MB | FP16 | NPU | [EfficientNet-V2-s.tflite](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.tflite) |
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- | EfficientNet-V2-s | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 1.574 ms | 1 - 30 MB | FP16 | NPU | Use Export Script |
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- | EfficientNet-V2-s | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 1.854 ms | 0 - 37 MB | FP16 | NPU | [EfficientNet-V2-s.onnx](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.onnx) |
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- | EfficientNet-V2-s | QCS8275 (Proxy) | QCS8275 Proxy | TFLITE | 60.037 ms | 0 - 71 MB | FP16 | NPU | [EfficientNet-V2-s.tflite](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.tflite) |
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- | EfficientNet-V2-s | QCS8275 (Proxy) | QCS8275 Proxy | QNN | 60.03 ms | 1 - 10 MB | FP16 | NPU | Use Export Script |
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- | EfficientNet-V2-s | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 2.667 ms | 0 - 331 MB | FP16 | NPU | [EfficientNet-V2-s.tflite](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.tflite) |
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- | EfficientNet-V2-s | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 2.519 ms | 1 - 4 MB | FP16 | NPU | Use Export Script |
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- | EfficientNet-V2-s | QCS9075 (Proxy) | QCS9075 Proxy | TFLITE | 4.61 ms | 0 - 71 MB | FP16 | NPU | [EfficientNet-V2-s.tflite](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.tflite) |
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- | EfficientNet-V2-s | QCS9075 (Proxy) | QCS9075 Proxy | QNN | 4.365 ms | 1 - 10 MB | FP16 | NPU | Use Export Script |
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- | EfficientNet-V2-s | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 5.081 ms | 0 - 89 MB | FP16 | NPU | [EfficientNet-V2-s.tflite](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.tflite) |
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- | EfficientNet-V2-s | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 5.162 ms | 1 - 42 MB | FP16 | NPU | Use Export Script |
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- | EfficientNet-V2-s | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 2.796 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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- | EfficientNet-V2-s | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 2.716 ms | 48 - 48 MB | FP16 | NPU | [EfficientNet-V2-s.onnx](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.onnx) |
 
 
 
 
 
 
 
 
 
 
 
 
 
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@@ -115,12 +128,12 @@ python -m qai_hub_models.models.efficientnet_v2_s.export
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  Profiling Results
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  ------------------------------------------------------------
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  EfficientNet-V2-s
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- Device : Samsung Galaxy S23 (13)
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- Runtime : TFLITE
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- Estimated inference time (ms) : 2.7
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- Estimated peak memory usage (MB): [0, 324]
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- Total # Ops : 508
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- Compute Unit(s) : NPU (508 ops)
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  ```
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  ---
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  library_name: pytorch
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+ license: other
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  tags:
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  - backbone
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  - android
 
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  ### Model Details
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+ - **Model Type:** Model_use_case.image_classification
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  - **Model Stats:**
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  - Model checkpoint: Imagenet
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  - Input resolution: 384x384
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  - Number of parameters: 21.45M
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  - Model size: 82.7 MB
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+ | Model | Precision | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit | Target Model
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  |---|---|---|---|---|---|---|---|---|
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+ | EfficientNet-V2-s | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | TFLITE | 10.972 ms | 0 - 71 MB | NPU | [EfficientNet-V2-s.tflite](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.tflite) |
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+ | EfficientNet-V2-s | float | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 10.795 ms | 1 - 10 MB | NPU | Use Export Script |
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+ | EfficientNet-V2-s | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | TFLITE | 5.227 ms | 0 - 86 MB | NPU | [EfficientNet-V2-s.tflite](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.tflite) |
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+ | EfficientNet-V2-s | float | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN | 5.754 ms | 1 - 43 MB | NPU | Use Export Script |
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+ | EfficientNet-V2-s | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | TFLITE | 2.666 ms | 0 - 328 MB | NPU | [EfficientNet-V2-s.tflite](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.tflite) |
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+ | EfficientNet-V2-s | float | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 2.516 ms | 1 - 9 MB | NPU | Use Export Script |
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+ | EfficientNet-V2-s | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | TFLITE | 3.858 ms | 0 - 72 MB | NPU | [EfficientNet-V2-s.tflite](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.tflite) |
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+ | EfficientNet-V2-s | float | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 3.606 ms | 1 - 15 MB | NPU | Use Export Script |
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+ | EfficientNet-V2-s | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | TFLITE | 2.679 ms | 0 - 327 MB | NPU | [EfficientNet-V2-s.tflite](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.tflite) |
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+ | EfficientNet-V2-s | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 2.544 ms | 0 - 25 MB | NPU | Use Export Script |
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+ | EfficientNet-V2-s | float | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 2.55 ms | 0 - 92 MB | NPU | [EfficientNet-V2-s.onnx](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.onnx) |
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+ | EfficientNet-V2-s | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | TFLITE | 1.999 ms | 0 - 99 MB | NPU | [EfficientNet-V2-s.tflite](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.tflite) |
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+ | EfficientNet-V2-s | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 1.862 ms | 1 - 59 MB | NPU | Use Export Script |
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+ | EfficientNet-V2-s | float | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 1.878 ms | 0 - 69 MB | NPU | [EfficientNet-V2-s.onnx](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.onnx) |
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+ | EfficientNet-V2-s | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | TFLITE | 1.853 ms | 0 - 75 MB | NPU | [EfficientNet-V2-s.tflite](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.tflite) |
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+ | EfficientNet-V2-s | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 1.494 ms | 1 - 33 MB | NPU | Use Export Script |
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+ | EfficientNet-V2-s | float | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 1.841 ms | 0 - 35 MB | NPU | [EfficientNet-V2-s.onnx](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.onnx) |
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+ | EfficientNet-V2-s | float | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 2.818 ms | 1 - 1 MB | NPU | Use Export Script |
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+ | EfficientNet-V2-s | float | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 2.736 ms | 47 - 47 MB | NPU | [EfficientNet-V2-s.onnx](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s.onnx) |
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+ | EfficientNet-V2-s | w8a16 | QCS8275 (Proxy) | Qualcomm® QCS8275 (Proxy) | QNN | 5.323 ms | 0 - 10 MB | NPU | Use Export Script |
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+ | EfficientNet-V2-s | w8a16 | QCS8450 (Proxy) | Qualcomm® QCS8450 (Proxy) | QNN | 3.367 ms | 0 - 63 MB | NPU | Use Export Script |
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+ | EfficientNet-V2-s | w8a16 | QCS8550 (Proxy) | Qualcomm® QCS8550 (Proxy) | QNN | 2.618 ms | 0 - 3 MB | NPU | Use Export Script |
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+ | EfficientNet-V2-s | w8a16 | QCS9075 (Proxy) | Qualcomm® QCS9075 (Proxy) | QNN | 2.984 ms | 0 - 15 MB | NPU | Use Export Script |
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+ | EfficientNet-V2-s | w8a16 | RB3 Gen 2 (Proxy) | Qualcomm® QCS6490 (Proxy) | QNN | 8.869 ms | 0 - 14 MB | NPU | Use Export Script |
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+ | EfficientNet-V2-s | w8a16 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | QNN | 2.644 ms | 0 - 18 MB | NPU | Use Export Script |
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+ | EfficientNet-V2-s | w8a16 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 Mobile | ONNX | 2.828 ms | 0 - 46 MB | NPU | [EfficientNet-V2-s.onnx](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s_w8a16.onnx) |
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+ | EfficientNet-V2-s | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | QNN | 1.777 ms | 0 - 62 MB | NPU | Use Export Script |
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+ | EfficientNet-V2-s | w8a16 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 Mobile | ONNX | 1.912 ms | 0 - 90 MB | NPU | [EfficientNet-V2-s.onnx](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s_w8a16.onnx) |
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+ | EfficientNet-V2-s | w8a16 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | QNN | 1.5 ms | 0 - 58 MB | NPU | Use Export Script |
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+ | EfficientNet-V2-s | w8a16 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite Mobile | ONNX | 1.816 ms | 0 - 73 MB | NPU | [EfficientNet-V2-s.onnx](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s_w8a16.onnx) |
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+ | EfficientNet-V2-s | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 2.856 ms | 0 - 0 MB | NPU | Use Export Script |
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+ | EfficientNet-V2-s | w8a16 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 3.007 ms | 25 - 25 MB | NPU | [EfficientNet-V2-s.onnx](https://huggingface.co/qualcomm/EfficientNet-V2-s/blob/main/EfficientNet-V2-s_w8a16.onnx) |
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  Profiling Results
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  ------------------------------------------------------------
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  EfficientNet-V2-s
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+ Device : cs_8275 (ANDROID 14)
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+ Runtime : TFLITE
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+ Estimated inference time (ms) : 11.0
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+ Estimated peak memory usage (MB): [0, 71]
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+ Total # Ops : 508
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+ Compute Unit(s) : npu (508 ops) gpu (0 ops) cpu (0 ops)
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  ```
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