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ResNet50

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@@ -35,29 +35,30 @@ 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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- | ResNet50 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 2.278 ms | 0 - 2 MB | FP16 | NPU | [ResNet50.tflite](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.tflite) |
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- | ResNet50 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 2.391 ms | 1 - 173 MB | FP16 | NPU | [ResNet50.so](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.so) |
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- | ResNet50 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 2.312 ms | 1 - 2 MB | FP16 | NPU | [ResNet50.onnx](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.onnx) |
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- | ResNet50 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 1.605 ms | 0 - 77 MB | FP16 | NPU | [ResNet50.tflite](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.tflite) |
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- | ResNet50 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 1.701 ms | 0 - 27 MB | FP16 | NPU | [ResNet50.so](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.so) |
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- | ResNet50 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 1.702 ms | 1 - 80 MB | FP16 | NPU | [ResNet50.onnx](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.onnx) |
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- | ResNet50 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 1.548 ms | 0 - 30 MB | FP16 | NPU | [ResNet50.tflite](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.tflite) |
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- | ResNet50 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 1.669 ms | 0 - 22 MB | FP16 | NPU | Use Export Script |
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- | ResNet50 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 1.651 ms | 0 - 30 MB | FP16 | NPU | [ResNet50.onnx](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.onnx) |
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- | ResNet50 | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 2.253 ms | 0 - 2 MB | FP16 | NPU | [ResNet50.tflite](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.tflite) |
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- | ResNet50 | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 2.163 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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- | ResNet50 | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 2.272 ms | 0 - 2 MB | FP16 | NPU | [ResNet50.tflite](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.tflite) |
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- | ResNet50 | SA8255 (Proxy) | SA8255P Proxy | QNN | 2.18 ms | 0 - 1 MB | FP16 | NPU | Use Export Script |
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- | ResNet50 | SA8775 (Proxy) | SA8775P Proxy | TFLITE | 2.276 ms | 0 - 2 MB | FP16 | NPU | [ResNet50.tflite](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.tflite) |
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- | ResNet50 | SA8775 (Proxy) | SA8775P Proxy | QNN | 2.172 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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- | ResNet50 | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 2.275 ms | 0 - 2 MB | FP16 | NPU | [ResNet50.tflite](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.tflite) |
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- | ResNet50 | SA8650 (Proxy) | SA8650P Proxy | QNN | 2.177 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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- | ResNet50 | SA8295P ADP | SA8295P | TFLITE | 3.766 ms | 0 - 21 MB | FP16 | NPU | [ResNet50.tflite](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.tflite) |
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- | ResNet50 | SA8295P ADP | SA8295P | QNN | 3.872 ms | 1 - 6 MB | FP16 | NPU | Use Export Script |
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- | ResNet50 | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 3.085 ms | 0 - 64 MB | FP16 | NPU | [ResNet50.tflite](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.tflite) |
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- | ResNet50 | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 3.137 ms | 1 - 18 MB | FP16 | NPU | Use Export Script |
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- | ResNet50 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 2.32 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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- | ResNet50 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 2.357 ms | 51 - 51 MB | FP16 | NPU | [ResNet50.onnx](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.onnx) |
 
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@@ -122,7 +123,7 @@ ResNet50
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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  Estimated inference time (ms) : 2.3
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- Estimated peak memory usage (MB): [0, 2]
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  Total # Ops : 79
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  Compute Unit(s) : NPU (79 ops)
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  ```
@@ -143,13 +144,29 @@ in memory using the `jit.trace` and then call the `submit_compile_job` API.
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  import torch
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  import qai_hub as hub
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- from qai_hub_models.models.resnet50 import
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  # Load the model
 
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  # Device
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  device = hub.Device("Samsung Galaxy S23")
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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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+ | ResNet50 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 2.27 ms | 0 - 233 MB | FP16 | NPU | [ResNet50.tflite](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.tflite) |
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+ | ResNet50 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 2.386 ms | 0 - 173 MB | FP16 | NPU | [ResNet50.so](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.so) |
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+ | ResNet50 | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 2.297 ms | 1 - 2 MB | FP16 | NPU | [ResNet50.onnx](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.onnx) |
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+ | ResNet50 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 1.597 ms | 0 - 27 MB | FP16 | NPU | [ResNet50.tflite](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.tflite) |
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+ | ResNet50 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 1.71 ms | 0 - 24 MB | FP16 | NPU | [ResNet50.so](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.so) |
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+ | ResNet50 | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 1.722 ms | 1 - 81 MB | FP16 | NPU | [ResNet50.onnx](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.onnx) |
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+ | ResNet50 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 1.593 ms | 0 - 23 MB | FP16 | NPU | [ResNet50.tflite](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.tflite) |
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+ | ResNet50 | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 1.635 ms | 0 - 22 MB | FP16 | NPU | Use Export Script |
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+ | ResNet50 | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 2.271 ms | 0 - 243 MB | FP16 | NPU | [ResNet50.tflite](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.tflite) |
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+ | ResNet50 | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 2.172 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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+ | ResNet50 | SA7255P ADP | SA7255P | TFLITE | 76.242 ms | 0 - 21 MB | FP16 | NPU | [ResNet50.tflite](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.tflite) |
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+ | ResNet50 | SA7255P ADP | SA7255P | QNN | 77.456 ms | 1 - 6 MB | FP16 | NPU | Use Export Script |
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+ | ResNet50 | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 2.273 ms | 2 - 246 MB | FP16 | NPU | [ResNet50.tflite](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.tflite) |
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+ | ResNet50 | SA8255 (Proxy) | SA8255P Proxy | QNN | 2.189 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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+ | ResNet50 | SA8295P ADP | SA8295P | TFLITE | 3.761 ms | 0 - 15 MB | FP16 | NPU | [ResNet50.tflite](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.tflite) |
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+ | ResNet50 | SA8295P ADP | SA8295P | QNN | 4.067 ms | 0 - 6 MB | FP16 | NPU | Use Export Script |
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+ | ResNet50 | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 2.27 ms | 0 - 243 MB | FP16 | NPU | [ResNet50.tflite](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.tflite) |
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+ | ResNet50 | SA8650 (Proxy) | SA8650P Proxy | QNN | 2.179 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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+ | ResNet50 | SA8775P ADP | SA8775P | TFLITE | 4.111 ms | 0 - 21 MB | FP16 | NPU | [ResNet50.tflite](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.tflite) |
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+ | ResNet50 | SA8775P ADP | SA8775P | QNN | 4.234 ms | 1 - 6 MB | FP16 | NPU | Use Export Script |
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+ | ResNet50 | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 3.122 ms | 0 - 20 MB | FP16 | NPU | [ResNet50.tflite](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.tflite) |
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+ | ResNet50 | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 3.141 ms | 1 - 18 MB | FP16 | NPU | Use Export Script |
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+ | ResNet50 | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 2.296 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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+ | ResNet50 | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 2.326 ms | 50 - 50 MB | FP16 | NPU | [ResNet50.onnx](https://huggingface.co/qualcomm/ResNet50/blob/main/ResNet50.onnx) |
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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  Estimated inference time (ms) : 2.3
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+ Estimated peak memory usage (MB): [0, 233]
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  Total # Ops : 79
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  Compute Unit(s) : NPU (79 ops)
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  ```
 
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  import torch
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  import qai_hub as hub
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+ from qai_hub_models.models.resnet50 import Model
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  # Load the 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()
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+ sample_inputs = torch_model.sample_inputs()
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+
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+ pt_model = torch.jit.trace(torch_model, [torch.tensor(data[0]) for _, data in sample_inputs.items()])
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+
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+ # Compile model on a specific device
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+ compile_job = hub.submit_compile_job(
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+ model=pt_model,
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+ device=device,
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+ input_specs=torch_model.get_input_spec(),
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+ )
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+
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+ # Get target model to run on-device
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+ target_model = compile_job.get_target_model()
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  ```
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