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Shufflenet-v2Quantized

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@@ -35,42 +35,42 @@ 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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- | Shufflenet-v2Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 0.631 ms | 0 - 10 MB | INT8 | NPU | [Shufflenet-v2Quantized.tflite](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.tflite) |
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- | Shufflenet-v2Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 0.595 ms | 0 - 9 MB | INT8 | NPU | [Shufflenet-v2Quantized.so](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.so) |
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- | Shufflenet-v2Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 12.921 ms | 0 - 35 MB | INT8 | NPU | [Shufflenet-v2Quantized.onnx](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.onnx) |
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- | Shufflenet-v2Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 0.449 ms | 0 - 24 MB | INT8 | NPU | [Shufflenet-v2Quantized.tflite](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.tflite) |
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- | Shufflenet-v2Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.427 ms | 0 - 27 MB | INT8 | NPU | [Shufflenet-v2Quantized.so](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.so) |
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- | Shufflenet-v2Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 10.126 ms | 1 - 249 MB | INT8 | NPU | [Shufflenet-v2Quantized.onnx](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.onnx) |
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- | Shufflenet-v2Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 0.395 ms | 0 - 18 MB | INT8 | NPU | [Shufflenet-v2Quantized.tflite](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.tflite) |
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- | Shufflenet-v2Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.473 ms | 0 - 17 MB | INT8 | NPU | Use Export Script |
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- | Shufflenet-v2Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 9.487 ms | 1 - 235 MB | INT8 | NPU | [Shufflenet-v2Quantized.onnx](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.onnx) |
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- | Shufflenet-v2Quantized | RB3 Gen 2 (Proxy) | QCS6490 Proxy | TFLITE | 0.927 ms | 0 - 16 MB | INT8 | NPU | [Shufflenet-v2Quantized.tflite](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.tflite) |
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- | Shufflenet-v2Quantized | RB3 Gen 2 (Proxy) | QCS6490 Proxy | QNN | 1.142 ms | 0 - 12 MB | INT8 | NPU | Use Export Script |
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- | Shufflenet-v2Quantized | RB5 (Proxy) | QCS8250 Proxy | TFLITE | 10.996 ms | 0 - 6 MB | FP32 | CPU | [Shufflenet-v2Quantized.tflite](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.tflite) |
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- | Shufflenet-v2Quantized | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 0.625 ms | 0 - 9 MB | INT8 | NPU | [Shufflenet-v2Quantized.tflite](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.tflite) |
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- | Shufflenet-v2Quantized | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 0.534 ms | 0 - 3 MB | INT8 | NPU | Use Export Script |
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- | Shufflenet-v2Quantized | SA7255P ADP | SA7255P | TFLITE | 1.593 ms | 0 - 12 MB | INT8 | NPU | [Shufflenet-v2Quantized.tflite](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.tflite) |
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- | Shufflenet-v2Quantized | SA7255P ADP | SA7255P | QNN | 1.71 ms | 0 - 10 MB | INT8 | NPU | Use Export Script |
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- | Shufflenet-v2Quantized | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 0.629 ms | 0 - 9 MB | INT8 | NPU | [Shufflenet-v2Quantized.tflite](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.tflite) |
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- | Shufflenet-v2Quantized | SA8255 (Proxy) | SA8255P Proxy | QNN | 0.53 ms | 0 - 4 MB | INT8 | NPU | Use Export Script |
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- | Shufflenet-v2Quantized | SA8295P ADP | SA8295P | TFLITE | 0.988 ms | 0 - 17 MB | INT8 | NPU | [Shufflenet-v2Quantized.tflite](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.tflite) |
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- | Shufflenet-v2Quantized | SA8295P ADP | SA8295P | QNN | 1.238 ms | 0 - 15 MB | INT8 | NPU | Use Export Script |
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- | Shufflenet-v2Quantized | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 0.632 ms | 0 - 9 MB | INT8 | NPU | [Shufflenet-v2Quantized.tflite](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.tflite) |
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- | Shufflenet-v2Quantized | SA8650 (Proxy) | SA8650P Proxy | QNN | 0.533 ms | 0 - 3 MB | INT8 | NPU | Use Export Script |
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- | Shufflenet-v2Quantized | SA8775P ADP | SA8775P | TFLITE | 1.022 ms | 0 - 13 MB | INT8 | NPU | [Shufflenet-v2Quantized.tflite](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.tflite) |
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- | Shufflenet-v2Quantized | SA8775P ADP | SA8775P | QNN | 1.104 ms | 0 - 10 MB | INT8 | NPU | Use Export Script |
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- | Shufflenet-v2Quantized | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 0.658 ms | 0 - 25 MB | INT8 | NPU | [Shufflenet-v2Quantized.tflite](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.tflite) |
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- | Shufflenet-v2Quantized | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 0.682 ms | 0 - 26 MB | INT8 | NPU | Use Export Script |
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- | Shufflenet-v2Quantized | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 0.672 ms | 0 - 0 MB | INT8 | NPU | Use Export Script |
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- | Shufflenet-v2Quantized | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 15.063 ms | 9 - 9 MB | INT8 | NPU | [Shufflenet-v2Quantized.onnx](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.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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  ```
@@ -127,7 +127,7 @@ Shufflenet-v2Quantized
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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  Estimated inference time (ms) : 0.6
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- Estimated peak memory usage (MB): [0, 10]
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  Total # Ops : 220
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  Compute Unit(s) : NPU (220 ops)
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  ```
@@ -154,7 +154,7 @@ from qai_hub_models.models.shufflenet_v2_quantized 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()
@@ -246,7 +246,8 @@ 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 Shufflenet-v2Quantized 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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+ | Shufflenet-v2Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 0.633 ms | 0 - 9 MB | INT8 | NPU | [Shufflenet-v2Quantized.tflite](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.tflite) |
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+ | Shufflenet-v2Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 0.593 ms | 0 - 9 MB | INT8 | NPU | [Shufflenet-v2Quantized.so](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.so) |
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+ | Shufflenet-v2Quantized | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 12.351 ms | 0 - 38 MB | INT8 | NPU | [Shufflenet-v2Quantized.onnx](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.onnx) |
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+ | Shufflenet-v2Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 0.443 ms | 0 - 27 MB | INT8 | NPU | [Shufflenet-v2Quantized.tflite](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.tflite) |
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+ | Shufflenet-v2Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.428 ms | 0 - 20 MB | INT8 | NPU | [Shufflenet-v2Quantized.so](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.so) |
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+ | Shufflenet-v2Quantized | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 10.142 ms | 1 - 245 MB | INT8 | NPU | [Shufflenet-v2Quantized.onnx](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.onnx) |
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+ | Shufflenet-v2Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 0.391 ms | 0 - 18 MB | INT8 | NPU | [Shufflenet-v2Quantized.tflite](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.tflite) |
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+ | Shufflenet-v2Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.464 ms | 0 - 18 MB | INT8 | NPU | Use Export Script |
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+ | Shufflenet-v2Quantized | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 9.323 ms | 0 - 233 MB | INT8 | NPU | [Shufflenet-v2Quantized.onnx](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.onnx) |
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+ | Shufflenet-v2Quantized | RB3 Gen 2 (Proxy) | QCS6490 Proxy | TFLITE | 0.896 ms | 0 - 15 MB | INT8 | NPU | [Shufflenet-v2Quantized.tflite](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.tflite) |
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+ | Shufflenet-v2Quantized | RB3 Gen 2 (Proxy) | QCS6490 Proxy | QNN | 1.189 ms | 0 - 12 MB | INT8 | NPU | Use Export Script |
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+ | Shufflenet-v2Quantized | RB5 (Proxy) | QCS8250 Proxy | TFLITE | 10.567 ms | 0 - 6 MB | FP32 | CPU | [Shufflenet-v2Quantized.tflite](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.tflite) |
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+ | Shufflenet-v2Quantized | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 0.633 ms | 0 - 9 MB | INT8 | NPU | [Shufflenet-v2Quantized.tflite](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.tflite) |
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+ | Shufflenet-v2Quantized | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 0.538 ms | 0 - 3 MB | INT8 | NPU | Use Export Script |
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+ | Shufflenet-v2Quantized | SA7255P ADP | SA7255P | TFLITE | 1.49 ms | 0 - 11 MB | INT8 | NPU | [Shufflenet-v2Quantized.tflite](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.tflite) |
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+ | Shufflenet-v2Quantized | SA7255P ADP | SA7255P | QNN | 1.58 ms | 0 - 10 MB | INT8 | NPU | Use Export Script |
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+ | Shufflenet-v2Quantized | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 0.634 ms | 0 - 9 MB | INT8 | NPU | [Shufflenet-v2Quantized.tflite](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.tflite) |
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+ | Shufflenet-v2Quantized | SA8255 (Proxy) | SA8255P Proxy | QNN | 0.534 ms | 0 - 2 MB | INT8 | NPU | Use Export Script |
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+ | Shufflenet-v2Quantized | SA8295P ADP | SA8295P | TFLITE | 0.994 ms | 0 - 17 MB | INT8 | NPU | [Shufflenet-v2Quantized.tflite](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.tflite) |
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+ | Shufflenet-v2Quantized | SA8295P ADP | SA8295P | QNN | 1.218 ms | 0 - 14 MB | INT8 | NPU | Use Export Script |
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+ | Shufflenet-v2Quantized | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 0.631 ms | 0 - 9 MB | INT8 | NPU | [Shufflenet-v2Quantized.tflite](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.tflite) |
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+ | Shufflenet-v2Quantized | SA8650 (Proxy) | SA8650P Proxy | QNN | 0.532 ms | 0 - 2 MB | INT8 | NPU | Use Export Script |
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+ | Shufflenet-v2Quantized | SA8775P ADP | SA8775P | TFLITE | 1.039 ms | 0 - 12 MB | INT8 | NPU | [Shufflenet-v2Quantized.tflite](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.tflite) |
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+ | Shufflenet-v2Quantized | SA8775P ADP | SA8775P | QNN | 1.049 ms | 0 - 10 MB | INT8 | NPU | Use Export Script |
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+ | Shufflenet-v2Quantized | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 0.695 ms | 0 - 18 MB | INT8 | NPU | [Shufflenet-v2Quantized.tflite](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.tflite) |
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+ | Shufflenet-v2Quantized | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 0.632 ms | 0 - 23 MB | INT8 | NPU | Use Export Script |
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+ | Shufflenet-v2Quantized | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 0.665 ms | 0 - 0 MB | INT8 | NPU | Use Export Script |
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+ | Shufflenet-v2Quantized | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 14.951 ms | 8 - 8 MB | INT8 | NPU | [Shufflenet-v2Quantized.onnx](https://huggingface.co/qualcomm/Shufflenet-v2Quantized/blob/main/Shufflenet-v2Quantized.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) : 0.6
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+ Estimated peak memory usage (MB): [0, 9]
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  Total # Ops : 220
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  Compute Unit(s) : NPU (220 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 Shufflenet-v2Quantized 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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