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@@ -1,9 +1,9 @@
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  ---
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  library_name: pytorch
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  license: bsd-3-clause
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- pipeline_tag: image-classification
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  tags:
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  - android
 
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  ---
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@@ -34,31 +34,35 @@ 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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- | ConvNext-Tiny | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 3.346 ms | 0 - 249 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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- | ConvNext-Tiny | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 3.922 ms | 1 - 299 MB | FP16 | NPU | [ConvNext-Tiny.so](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.so) |
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- | ConvNext-Tiny | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 13.362 ms | 0 - 188 MB | FP16 | NPU | [ConvNext-Tiny.onnx](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.onnx) |
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- | ConvNext-Tiny | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 2.456 ms | 0 - 41 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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- | ConvNext-Tiny | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 2.817 ms | 1 - 42 MB | FP16 | NPU | [ConvNext-Tiny.so](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.so) |
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- | ConvNext-Tiny | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 9.678 ms | 1 - 61 MB | FP16 | NPU | [ConvNext-Tiny.onnx](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.onnx) |
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- | ConvNext-Tiny | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 2.11 ms | 0 - 40 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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- | ConvNext-Tiny | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 2.104 ms | 1 - 41 MB | FP16 | NPU | Use Export Script |
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- | ConvNext-Tiny | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 8.385 ms | 1 - 67 MB | FP16 | NPU | [ConvNext-Tiny.onnx](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.onnx) |
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- | ConvNext-Tiny | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 3.339 ms | 0 - 279 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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- | ConvNext-Tiny | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 3.692 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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- | ConvNext-Tiny | SA7255P ADP | SA7255P | TFLITE | 96.596 ms | 0 - 36 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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- | ConvNext-Tiny | SA7255P ADP | SA7255P | QNN | 97.188 ms | 1 - 10 MB | FP16 | NPU | Use Export Script |
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- | ConvNext-Tiny | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 3.336 ms | 0 - 259 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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- | ConvNext-Tiny | SA8255 (Proxy) | SA8255P Proxy | QNN | 3.655 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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- | ConvNext-Tiny | SA8295P ADP | SA8295P | TFLITE | 11.144 ms | 0 - 37 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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- | ConvNext-Tiny | SA8295P ADP | SA8295P | QNN | 9.478 ms | 1 - 15 MB | FP16 | NPU | Use Export Script |
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- | ConvNext-Tiny | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 3.334 ms | 0 - 319 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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- | ConvNext-Tiny | SA8650 (Proxy) | SA8650P Proxy | QNN | 3.663 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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- | ConvNext-Tiny | SA8775P ADP | SA8775P | TFLITE | 5.706 ms | 0 - 36 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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- | ConvNext-Tiny | SA8775P ADP | SA8775P | QNN | 6.216 ms | 1 - 11 MB | FP16 | NPU | Use Export Script |
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- | ConvNext-Tiny | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 9.768 ms | 0 - 37 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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- | ConvNext-Tiny | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 10.423 ms | 1 - 38 MB | FP16 | NPU | Use Export Script |
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- | ConvNext-Tiny | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 3.922 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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- | ConvNext-Tiny | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 16.225 ms | 58 - 58 MB | FP16 | NPU | [ConvNext-Tiny.onnx](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.onnx) |
 
 
 
 
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@@ -123,7 +127,7 @@ ConvNext-Tiny
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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  Estimated inference time (ms) : 3.3
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- Estimated peak memory usage (MB): [0, 249]
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  Total # Ops : 328
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  Compute Unit(s) : NPU (328 ops)
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  ```
 
1
  ---
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  library_name: pytorch
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  license: bsd-3-clause
 
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  tags:
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  - android
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+ pipeline_tag: image-classification
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  ---
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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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+ | ConvNext-Tiny | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 3.328 ms | 0 - 289 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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+ | ConvNext-Tiny | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 3.676 ms | 0 - 3 MB | FP16 | NPU | [ConvNext-Tiny.so](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.so) |
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+ | ConvNext-Tiny | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 13.475 ms | 0 - 149 MB | FP16 | NPU | [ConvNext-Tiny.onnx](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.onnx) |
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+ | ConvNext-Tiny | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 2.452 ms | 0 - 37 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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+ | ConvNext-Tiny | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 2.636 ms | 1 - 19 MB | FP16 | NPU | [ConvNext-Tiny.so](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.so) |
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+ | ConvNext-Tiny | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 9.64 ms | 1 - 61 MB | FP16 | NPU | [ConvNext-Tiny.onnx](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.onnx) |
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+ | ConvNext-Tiny | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 2.115 ms | 0 - 41 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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+ | ConvNext-Tiny | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 2.438 ms | 1 - 40 MB | FP16 | NPU | Use Export Script |
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+ | ConvNext-Tiny | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 7.405 ms | 1 - 67 MB | FP16 | NPU | [ConvNext-Tiny.onnx](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.onnx) |
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+ | ConvNext-Tiny | SA7255P ADP | SA7255P | TFLITE | 96.654 ms | 0 - 35 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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+ | ConvNext-Tiny | SA7255P ADP | SA7255P | QNN | 97.217 ms | 1 - 8 MB | FP16 | NPU | Use Export Script |
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+ | ConvNext-Tiny | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 3.338 ms | 0 - 259 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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+ | ConvNext-Tiny | SA8255 (Proxy) | SA8255P Proxy | QNN | 3.663 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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+ | ConvNext-Tiny | SA8295P ADP | SA8295P | TFLITE | 11.113 ms | 0 - 34 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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+ | ConvNext-Tiny | SA8295P ADP | SA8295P | QNN | 9.669 ms | 1 - 11 MB | FP16 | NPU | Use Export Script |
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+ | ConvNext-Tiny | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 3.341 ms | 0 - 299 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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+ | ConvNext-Tiny | SA8650 (Proxy) | SA8650P Proxy | QNN | 3.676 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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+ | ConvNext-Tiny | SA8775P ADP | SA8775P | TFLITE | 5.724 ms | 0 - 36 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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+ | ConvNext-Tiny | SA8775P ADP | SA8775P | QNN | 6.172 ms | 1 - 8 MB | FP16 | NPU | Use Export Script |
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+ | ConvNext-Tiny | QCS8275 (Proxy) | QCS8275 Proxy | TFLITE | 96.654 ms | 0 - 35 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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+ | ConvNext-Tiny | QCS8275 (Proxy) | QCS8275 Proxy | QNN | 97.217 ms | 1 - 8 MB | FP16 | NPU | Use Export Script |
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+ | ConvNext-Tiny | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 3.328 ms | 0 - 309 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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+ | ConvNext-Tiny | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 3.639 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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+ | ConvNext-Tiny | QCS9075 (Proxy) | QCS9075 Proxy | TFLITE | 5.724 ms | 0 - 36 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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+ | ConvNext-Tiny | QCS9075 (Proxy) | QCS9075 Proxy | QNN | 6.172 ms | 1 - 8 MB | FP16 | NPU | Use Export Script |
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+ | ConvNext-Tiny | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 9.877 ms | 0 - 36 MB | FP16 | NPU | [ConvNext-Tiny.tflite](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.tflite) |
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+ | ConvNext-Tiny | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 10.364 ms | 1 - 36 MB | FP16 | NPU | Use Export Script |
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+ | ConvNext-Tiny | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 3.934 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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+ | ConvNext-Tiny | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 16.203 ms | 59 - 59 MB | FP16 | NPU | [ConvNext-Tiny.onnx](https://huggingface.co/qualcomm/ConvNext-Tiny/blob/main/ConvNext-Tiny.onnx) |
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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  Estimated inference time (ms) : 3.3
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+ Estimated peak memory usage (MB): [0, 289]
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  Total # Ops : 328
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  Compute Unit(s) : NPU (328 ops)
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  ```