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SINet

Image Segmentation
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@@ -35,29 +35,31 @@ 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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- | SINet | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 1.76 ms | 0 - 12 MB | FP16 | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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- | SINet | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 1.185 ms | 1 - 6 MB | FP16 | NPU | [SINet.so](https://huggingface.co/qualcomm/SINet/blob/main/SINet.so) |
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- | SINet | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 2.262 ms | 0 - 72 MB | FP16 | NPU | [SINet.onnx](https://huggingface.co/qualcomm/SINet/blob/main/SINet.onnx) |
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- | SINet | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 1.138 ms | 0 - 31 MB | FP16 | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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- | SINet | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.805 ms | 1 - 16 MB | FP16 | NPU | [SINet.so](https://huggingface.co/qualcomm/SINet/blob/main/SINet.so) |
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- | SINet | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 1.495 ms | 0 - 36 MB | FP16 | NPU | [SINet.onnx](https://huggingface.co/qualcomm/SINet/blob/main/SINet.onnx) |
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- | SINet | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 0.922 ms | 0 - 22 MB | FP16 | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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- | SINet | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.77 ms | 0 - 12 MB | FP16 | NPU | Use Export Script |
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- | SINet | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 1.25 ms | 0 - 25 MB | FP16 | NPU | [SINet.onnx](https://huggingface.co/qualcomm/SINet/blob/main/SINet.onnx) |
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- | SINet | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 1.732 ms | 0 - 2 MB | FP16 | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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- | SINet | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 1.159 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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- | SINet | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 1.75 ms | 0 - 1 MB | FP16 | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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- | SINet | SA8255 (Proxy) | SA8255P Proxy | QNN | 1.173 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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- | SINet | SA8775 (Proxy) | SA8775P Proxy | TFLITE | 1.753 ms | 0 - 1 MB | FP16 | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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- | SINet | SA8775 (Proxy) | SA8775P Proxy | QNN | 1.172 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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- | SINet | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 1.749 ms | 0 - 1 MB | FP16 | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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- | SINet | SA8650 (Proxy) | SA8650P Proxy | QNN | 1.166 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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- | SINet | SA8295P ADP | SA8295P | TFLITE | 2.404 ms | 0 - 21 MB | FP16 | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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- | SINet | SA8295P ADP | SA8295P | QNN | 2.114 ms | 0 - 6 MB | FP16 | NPU | Use Export Script |
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- | SINet | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 1.886 ms | 0 - 31 MB | FP16 | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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- | SINet | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 1.316 ms | 1 - 17 MB | FP16 | NPU | Use Export Script |
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- | SINet | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 1.345 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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- | SINet | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 2.36 ms | 2 - 2 MB | FP16 | NPU | [SINet.onnx](https://huggingface.co/qualcomm/SINet/blob/main/SINet.onnx) |
 
 
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@@ -122,7 +124,7 @@ SINet
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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  Estimated inference time (ms) : 1.8
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- Estimated peak memory usage (MB): [0, 12]
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  Total # Ops : 240
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  Compute Unit(s) : NPU (240 ops)
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  ```
@@ -143,13 +145,29 @@ 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.sinet 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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+ | SINet | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 1.763 ms | 0 - 22 MB | FP16 | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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+ | SINet | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 1.188 ms | 1 - 6 MB | FP16 | NPU | [SINet.so](https://huggingface.co/qualcomm/SINet/blob/main/SINet.so) |
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+ | SINet | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 2.259 ms | 0 - 2 MB | FP16 | NPU | [SINet.onnx](https://huggingface.co/qualcomm/SINet/blob/main/SINet.onnx) |
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+ | SINet | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 1.146 ms | 0 - 15 MB | FP16 | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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+ | SINet | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.798 ms | 1 - 15 MB | FP16 | NPU | [SINet.so](https://huggingface.co/qualcomm/SINet/blob/main/SINet.so) |
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+ | SINet | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 1.515 ms | 0 - 36 MB | FP16 | NPU | [SINet.onnx](https://huggingface.co/qualcomm/SINet/blob/main/SINet.onnx) |
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+ | SINet | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 1.174 ms | 0 - 12 MB | FP16 | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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+ | SINet | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.744 ms | 0 - 12 MB | FP16 | NPU | Use Export Script |
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+ | SINet | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 1.513 ms | 0 - 25 MB | FP16 | NPU | [SINet.onnx](https://huggingface.co/qualcomm/SINet/blob/main/SINet.onnx) |
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+ | SINet | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 1.754 ms | 0 - 5 MB | FP16 | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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+ | SINet | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 1.158 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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+ | SINet | SA7255P ADP | SA7255P | TFLITE | 9.031 ms | 0 - 12 MB | FP16 | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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+ | SINet | SA7255P ADP | SA7255P | QNN | 8.165 ms | 1 - 6 MB | FP16 | NPU | Use Export Script |
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+ | SINet | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 1.771 ms | 0 - 6 MB | FP16 | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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+ | SINet | SA8255 (Proxy) | SA8255P Proxy | QNN | 1.187 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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+ | SINet | SA8295P ADP | SA8295P | TFLITE | 2.418 ms | 0 - 11 MB | FP16 | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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+ | SINet | SA8295P ADP | SA8295P | QNN | 2.133 ms | 1 - 6 MB | FP16 | NPU | Use Export Script |
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+ | SINet | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 1.762 ms | 0 - 5 MB | FP16 | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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+ | SINet | SA8650 (Proxy) | SA8650P Proxy | QNN | 1.188 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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+ | SINet | SA8775P ADP | SA8775P | TFLITE | 2.661 ms | 0 - 11 MB | FP16 | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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+ | SINet | SA8775P ADP | SA8775P | QNN | 1.982 ms | 1 - 6 MB | FP16 | NPU | Use Export Script |
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+ | SINet | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 1.889 ms | 0 - 16 MB | FP16 | NPU | [SINet.tflite](https://huggingface.co/qualcomm/SINet/blob/main/SINet.tflite) |
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+ | SINet | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 1.326 ms | 1 - 18 MB | FP16 | NPU | Use Export Script |
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+ | SINet | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 1.359 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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+ | SINet | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 2.381 ms | 2 - 2 MB | FP16 | NPU | [SINet.onnx](https://huggingface.co/qualcomm/SINet/blob/main/SINet.onnx) |
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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  Estimated inference time (ms) : 1.8
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+ Estimated peak memory usage (MB): [0, 22]
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  Total # Ops : 240
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  Compute Unit(s) : NPU (240 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.sinet 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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