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ResNeXt101

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@@ -35,39 +35,39 @@ 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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- | ResNeXt101 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 6.482 ms | 0 - 35 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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- | ResNeXt101 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 6.707 ms | 0 - 34 MB | FP16 | NPU | [ResNeXt101.so](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.so) |
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- | ResNeXt101 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 7.108 ms | 0 - 439 MB | FP16 | NPU | [ResNeXt101.onnx](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.onnx) |
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- | ResNeXt101 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 4.677 ms | 0 - 89 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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- | ResNeXt101 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 4.713 ms | 25 - 116 MB | FP16 | NPU | [ResNeXt101.so](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.so) |
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- | ResNeXt101 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 5.094 ms | 0 - 94 MB | FP16 | NPU | [ResNeXt101.onnx](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.onnx) |
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- | ResNeXt101 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 4.625 ms | 0 - 99 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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- | ResNeXt101 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 4.687 ms | 0 - 98 MB | FP16 | NPU | Use Export Script |
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- | ResNeXt101 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 5.141 ms | 1 - 101 MB | FP16 | NPU | [ResNeXt101.onnx](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.onnx) |
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- | ResNeXt101 | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 6.512 ms | 0 - 35 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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- | ResNeXt101 | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 6.822 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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- | ResNeXt101 | SA7255P ADP | SA7255P | TFLITE | 272.485 ms | 0 - 97 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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- | ResNeXt101 | SA7255P ADP | SA7255P | QNN | 273.005 ms | 1 - 10 MB | FP16 | NPU | Use Export Script |
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- | ResNeXt101 | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 6.464 ms | 0 - 34 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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- | ResNeXt101 | SA8255 (Proxy) | SA8255P Proxy | QNN | 6.869 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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- | ResNeXt101 | SA8295P ADP | SA8295P | TFLITE | 10.725 ms | 0 - 52 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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- | ResNeXt101 | SA8295P ADP | SA8295P | QNN | 10.826 ms | 1 - 15 MB | FP16 | NPU | Use Export Script |
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- | ResNeXt101 | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 6.49 ms | 0 - 34 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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  | ResNeXt101 | SA8650 (Proxy) | SA8650P Proxy | QNN | 6.788 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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- | ResNeXt101 | SA8775P ADP | SA8775P | TFLITE | 12.378 ms | 0 - 97 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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- | ResNeXt101 | SA8775P ADP | SA8775P | QNN | 12.418 ms | 1 - 10 MB | FP16 | NPU | Use Export Script |
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- | ResNeXt101 | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 9.19 ms | 0 - 58 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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- | ResNeXt101 | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 9.252 ms | 0 - 55 MB | FP16 | NPU | Use Export Script |
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- | ResNeXt101 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 6.826 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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- | ResNeXt101 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 6.837 ms | 174 - 174 MB | FP16 | NPU | [ResNeXt101.onnx](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.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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  ```
@@ -124,7 +124,7 @@ ResNeXt101
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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  Estimated inference time (ms) : 6.5
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- Estimated peak memory usage (MB): [0, 35]
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  Total # Ops : 147
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  Compute Unit(s) : NPU (147 ops)
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  ```
@@ -151,7 +151,7 @@ from qai_hub_models.models.resnext101 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 +243,8 @@ 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 ResNeXt101 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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+ | ResNeXt101 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 6.498 ms | 0 - 33 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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+ | ResNeXt101 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 6.631 ms | 0 - 33 MB | FP16 | NPU | [ResNeXt101.so](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.so) |
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+ | ResNeXt101 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 7.003 ms | 0 - 436 MB | FP16 | NPU | [ResNeXt101.onnx](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.onnx) |
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+ | ResNeXt101 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 4.615 ms | 0 - 89 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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+ | ResNeXt101 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 4.73 ms | 0 - 92 MB | FP16 | NPU | [ResNeXt101.so](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.so) |
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+ | ResNeXt101 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 4.995 ms | 0 - 93 MB | FP16 | NPU | [ResNeXt101.onnx](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.onnx) |
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+ | ResNeXt101 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 3.985 ms | 0 - 99 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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+ | ResNeXt101 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 3.996 ms | 1 - 98 MB | FP16 | NPU | Use Export Script |
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+ | ResNeXt101 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 4.379 ms | 1 - 101 MB | FP16 | NPU | [ResNeXt101.onnx](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.onnx) |
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+ | ResNeXt101 | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 6.523 ms | 0 - 35 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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+ | ResNeXt101 | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 6.793 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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+ | ResNeXt101 | SA7255P ADP | SA7255P | TFLITE | 272.554 ms | 0 - 96 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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+ | ResNeXt101 | SA7255P ADP | SA7255P | QNN | 272.958 ms | 1 - 10 MB | FP16 | NPU | Use Export Script |
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+ | ResNeXt101 | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 6.495 ms | 0 - 35 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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+ | ResNeXt101 | SA8255 (Proxy) | SA8255P Proxy | QNN | 6.857 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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+ | ResNeXt101 | SA8295P ADP | SA8295P | TFLITE | 10.666 ms | 0 - 52 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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+ | ResNeXt101 | SA8295P ADP | SA8295P | QNN | 11.415 ms | 1 - 15 MB | FP16 | NPU | Use Export Script |
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+ | ResNeXt101 | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 6.492 ms | 0 - 34 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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  | ResNeXt101 | SA8650 (Proxy) | SA8650P Proxy | QNN | 6.788 ms | 1 - 3 MB | FP16 | NPU | Use Export Script |
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+ | ResNeXt101 | SA8775P ADP | SA8775P | TFLITE | 12.35 ms | 0 - 96 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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+ | ResNeXt101 | SA8775P ADP | SA8775P | QNN | 12.378 ms | 1 - 10 MB | FP16 | NPU | Use Export Script |
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+ | ResNeXt101 | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 9.164 ms | 0 - 53 MB | FP16 | NPU | [ResNeXt101.tflite](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.tflite) |
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+ | ResNeXt101 | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 9.382 ms | 0 - 57 MB | FP16 | NPU | Use Export Script |
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+ | ResNeXt101 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 6.84 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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+ | ResNeXt101 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 6.803 ms | 173 - 173 MB | FP16 | NPU | [ResNeXt101.onnx](https://huggingface.co/qualcomm/ResNeXt101/blob/main/ResNeXt101.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) : 6.5
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+ Estimated peak memory usage (MB): [0, 33]
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  Total # Ops : 147
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  Compute Unit(s) : NPU (147 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 ResNeXt101 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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