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MobileNet-v3-Large

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@@ -36,29 +36,31 @@ 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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- | MobileNet-v3-Large | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 0.989 ms | 0 - 1 MB | FP16 | NPU | [MobileNet-v3-Large.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.tflite) |
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- | MobileNet-v3-Large | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 1.041 ms | 0 - 64 MB | FP16 | NPU | [MobileNet-v3-Large.so](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.so) |
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- | MobileNet-v3-Large | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 1.039 ms | 0 - 71 MB | FP16 | NPU | [MobileNet-v3-Large.onnx](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.onnx) |
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- | MobileNet-v3-Large | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 0.673 ms | 0 - 65 MB | FP16 | NPU | [MobileNet-v3-Large.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.tflite) |
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- | MobileNet-v3-Large | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.712 ms | 4 - 21 MB | FP16 | NPU | [MobileNet-v3-Large.so](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.so) |
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- | MobileNet-v3-Large | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 0.721 ms | 0 - 66 MB | FP16 | NPU | [MobileNet-v3-Large.onnx](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.onnx) |
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- | MobileNet-v3-Large | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 0.678 ms | 0 - 25 MB | FP16 | NPU | [MobileNet-v3-Large.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.tflite) |
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- | MobileNet-v3-Large | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.592 ms | 1 - 14 MB | FP16 | NPU | Use Export Script |
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- | MobileNet-v3-Large | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 0.617 ms | 0 - 26 MB | FP16 | NPU | [MobileNet-v3-Large.onnx](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.onnx) |
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- | MobileNet-v3-Large | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 0.992 ms | 0 - 17 MB | FP16 | NPU | [MobileNet-v3-Large.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.tflite) |
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- | MobileNet-v3-Large | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 1.022 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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- | MobileNet-v3-Large | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 0.992 ms | 0 - 1 MB | FP16 | NPU | [MobileNet-v3-Large.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.tflite) |
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- | MobileNet-v3-Large | SA8255 (Proxy) | SA8255P Proxy | QNN | 1.006 ms | 0 - 1 MB | FP16 | NPU | Use Export Script |
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- | MobileNet-v3-Large | SA8775 (Proxy) | SA8775P Proxy | TFLITE | 0.99 ms | 0 - 228 MB | FP16 | NPU | [MobileNet-v3-Large.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.tflite) |
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- | MobileNet-v3-Large | SA8775 (Proxy) | SA8775P Proxy | QNN | 0.996 ms | 2 - 4 MB | FP16 | NPU | Use Export Script |
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- | MobileNet-v3-Large | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 0.992 ms | 0 - 2 MB | FP16 | NPU | [MobileNet-v3-Large.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.tflite) |
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- | MobileNet-v3-Large | SA8650 (Proxy) | SA8650P Proxy | QNN | 1.001 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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- | MobileNet-v3-Large | SA8295P ADP | SA8295P | TFLITE | 1.877 ms | 0 - 27 MB | FP16 | NPU | [MobileNet-v3-Large.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.tflite) |
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- | MobileNet-v3-Large | SA8295P ADP | SA8295P | QNN | 2.089 ms | 0 - 6 MB | FP16 | NPU | Use Export Script |
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- | MobileNet-v3-Large | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 1.395 ms | 0 - 67 MB | FP16 | NPU | [MobileNet-v3-Large.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.tflite) |
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- | MobileNet-v3-Large | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 1.462 ms | 1 - 22 MB | FP16 | NPU | Use Export Script |
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- | MobileNet-v3-Large | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 1.184 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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- | MobileNet-v3-Large | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 1.07 ms | 13 - 13 MB | FP16 | NPU | [MobileNet-v3-Large.onnx](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.onnx) |
 
 
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@@ -123,7 +125,7 @@ MobileNet-v3-Large
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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  Estimated inference time (ms) : 1.0
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- Estimated peak memory usage (MB): [0, 1]
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  Total # Ops : 128
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  Compute Unit(s) : NPU (128 ops)
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  ```
@@ -144,13 +146,29 @@ in memory using the `jit.trace` and then call the `submit_compile_job` API.
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  import torch
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146
  import qai_hub as hub
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- from qai_hub_models.models.mobilenet_v3_large 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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155
  ```
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  | Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
38
  |---|---|---|---|---|---|---|---|---|
39
+ | MobileNet-v3-Large | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 0.996 ms | 0 - 5 MB | FP16 | NPU | [MobileNet-v3-Large.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.tflite) |
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+ | MobileNet-v3-Large | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 1.035 ms | 0 - 54 MB | FP16 | NPU | [MobileNet-v3-Large.so](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.so) |
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+ | MobileNet-v3-Large | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 0.993 ms | 1 - 151 MB | FP16 | NPU | [MobileNet-v3-Large.onnx](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.onnx) |
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+ | MobileNet-v3-Large | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 0.672 ms | 0 - 16 MB | FP16 | NPU | [MobileNet-v3-Large.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.tflite) |
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+ | MobileNet-v3-Large | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 0.721 ms | 0 - 19 MB | FP16 | NPU | [MobileNet-v3-Large.so](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.so) |
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+ | MobileNet-v3-Large | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 0.716 ms | 0 - 69 MB | FP16 | NPU | [MobileNet-v3-Large.onnx](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.onnx) |
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+ | MobileNet-v3-Large | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 0.678 ms | 0 - 15 MB | FP16 | NPU | [MobileNet-v3-Large.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.tflite) |
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+ | MobileNet-v3-Large | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 0.717 ms | 0 - 14 MB | FP16 | NPU | Use Export Script |
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+ | MobileNet-v3-Large | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 0.733 ms | 0 - 27 MB | FP16 | NPU | [MobileNet-v3-Large.onnx](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.onnx) |
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+ | MobileNet-v3-Large | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 0.991 ms | 0 - 74 MB | FP16 | NPU | [MobileNet-v3-Large.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.tflite) |
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+ | MobileNet-v3-Large | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 1.002 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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+ | MobileNet-v3-Large | SA7255P ADP | SA7255P | TFLITE | 15.166 ms | 0 - 13 MB | FP16 | NPU | [MobileNet-v3-Large.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.tflite) |
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+ | MobileNet-v3-Large | SA7255P ADP | SA7255P | QNN | 14.806 ms | 1 - 6 MB | FP16 | NPU | Use Export Script |
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+ | MobileNet-v3-Large | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 0.993 ms | 0 - 75 MB | FP16 | NPU | [MobileNet-v3-Large.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.tflite) |
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+ | MobileNet-v3-Large | SA8255 (Proxy) | SA8255P Proxy | QNN | 0.999 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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+ | MobileNet-v3-Large | SA8295P ADP | SA8295P | TFLITE | 1.839 ms | 0 - 13 MB | FP16 | NPU | [MobileNet-v3-Large.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.tflite) |
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+ | MobileNet-v3-Large | SA8295P ADP | SA8295P | QNN | 1.906 ms | 0 - 6 MB | FP16 | NPU | Use Export Script |
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+ | MobileNet-v3-Large | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 0.993 ms | 0 - 5 MB | FP16 | NPU | [MobileNet-v3-Large.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.tflite) |
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+ | MobileNet-v3-Large | SA8650 (Proxy) | SA8650P Proxy | QNN | 0.998 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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+ | MobileNet-v3-Large | SA8775P ADP | SA8775P | TFLITE | 1.69 ms | 0 - 15 MB | FP16 | NPU | [MobileNet-v3-Large.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.tflite) |
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+ | MobileNet-v3-Large | SA8775P ADP | SA8775P | QNN | 1.829 ms | 1 - 6 MB | FP16 | NPU | Use Export Script |
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+ | MobileNet-v3-Large | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 1.393 ms | 0 - 18 MB | FP16 | NPU | [MobileNet-v3-Large.tflite](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.tflite) |
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+ | MobileNet-v3-Large | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 1.454 ms | 1 - 21 MB | FP16 | NPU | Use Export Script |
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+ | MobileNet-v3-Large | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 1.138 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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+ | MobileNet-v3-Large | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 1.048 ms | 13 - 13 MB | FP16 | NPU | [MobileNet-v3-Large.onnx](https://huggingface.co/qualcomm/MobileNet-v3-Large/blob/main/MobileNet-v3-Large.onnx) |
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  Device : Samsung Galaxy S23 (13)
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  Runtime : TFLITE
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  Estimated inference time (ms) : 1.0
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+ Estimated peak memory usage (MB): [0, 5]
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  Total # Ops : 128
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  Compute Unit(s) : NPU (128 ops)
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  ```
 
146
  import torch
147
 
148
  import qai_hub as hub
149
+ from qai_hub_models.models.mobilenet_v3_large import Model
150
 
151
  # Load the model
152
+ torch_model = Model.from_pretrained()
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154
  # Device
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  device = hub.Device("Samsung Galaxy S23")
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157
+ # Trace model
158
+ 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(),
168
+ )
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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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173
  ```
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