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FastSam-X

Image Segmentation
PyTorch
TF Lite
ONNX
android
Model card Files Community
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@@ -35,20 +35,21 @@ 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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- | FastSam-X | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 46.347 ms | 4 - 22 MB | FP16 | NPU | [FastSam-X.so](https://huggingface.co/qualcomm/FastSam-X/blob/main/FastSam-X.so) |
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- | FastSam-X | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 48.131 ms | 0 - 1260 MB | FP16 | NPU | [FastSam-X.onnx](https://huggingface.co/qualcomm/FastSam-X/blob/main/FastSam-X.onnx) |
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- | FastSam-X | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 34.644 ms | 5 - 64 MB | FP16 | NPU | [FastSam-X.so](https://huggingface.co/qualcomm/FastSam-X/blob/main/FastSam-X.so) |
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- | FastSam-X | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 34.945 ms | 0 - 157 MB | FP16 | NPU | [FastSam-X.onnx](https://huggingface.co/qualcomm/FastSam-X/blob/main/FastSam-X.onnx) |
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- | FastSam-X | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 27.041 ms | 5 - 63 MB | FP16 | NPU | Use Export Script |
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- | FastSam-X | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 31.76 ms | 0 - 76 MB | FP16 | NPU | [FastSam-X.onnx](https://huggingface.co/qualcomm/FastSam-X/blob/main/FastSam-X.onnx) |
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- | FastSam-X | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 43.152 ms | 5 - 6 MB | FP16 | NPU | Use Export Script |
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- | FastSam-X | SA8255 (Proxy) | SA8255P Proxy | QNN | 43.517 ms | 5 - 6 MB | FP16 | NPU | Use Export Script |
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- | FastSam-X | SA8775 (Proxy) | SA8775P Proxy | QNN | 43.704 ms | 5 - 8 MB | FP16 | NPU | Use Export Script |
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- | FastSam-X | SA8650 (Proxy) | SA8650P Proxy | QNN | 43.486 ms | 5 - 6 MB | FP16 | NPU | Use Export Script |
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- | FastSam-X | SA8295P ADP | SA8295P | QNN | 83.059 ms | 0 - 5 MB | FP16 | NPU | Use Export Script |
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- | FastSam-X | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 88.07 ms | 4 - 65 MB | FP16 | NPU | Use Export Script |
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- | FastSam-X | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 44.416 ms | 5 - 5 MB | FP16 | NPU | Use Export Script |
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- | FastSam-X | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 49.553 ms | 139 - 139 MB | FP16 | NPU | [FastSam-X.onnx](https://huggingface.co/qualcomm/FastSam-X/blob/main/FastSam-X.onnx) |
 
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@@ -113,8 +114,8 @@ Profiling Results
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  FastSam-X
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  Device : Samsung Galaxy S23 (13)
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  Runtime : QNN
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- Estimated inference time (ms) : 46.3
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- Estimated peak memory usage (MB): [4, 22]
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  Total # Ops : 418
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  Compute Unit(s) : NPU (418 ops)
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  ```
@@ -135,13 +136,29 @@ 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.fastsam_x 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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+ | FastSam-X | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 45.029 ms | 5 - 20 MB | FP16 | NPU | [FastSam-X.so](https://huggingface.co/qualcomm/FastSam-X/blob/main/FastSam-X.so) |
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+ | FastSam-X | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 46.786 ms | 0 - 157 MB | FP16 | NPU | [FastSam-X.onnx](https://huggingface.co/qualcomm/FastSam-X/blob/main/FastSam-X.onnx) |
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+ | FastSam-X | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 34.74 ms | 5 - 66 MB | FP16 | NPU | [FastSam-X.so](https://huggingface.co/qualcomm/FastSam-X/blob/main/FastSam-X.so) |
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+ | FastSam-X | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 35.254 ms | 14 - 173 MB | FP16 | NPU | [FastSam-X.onnx](https://huggingface.co/qualcomm/FastSam-X/blob/main/FastSam-X.onnx) |
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+ | FastSam-X | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 30.954 ms | 3 - 61 MB | FP16 | NPU | Use Export Script |
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+ | FastSam-X | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 31.566 ms | 15 - 92 MB | FP16 | NPU | [FastSam-X.onnx](https://huggingface.co/qualcomm/FastSam-X/blob/main/FastSam-X.onnx) |
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+ | FastSam-X | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 42.922 ms | 5 - 6 MB | FP16 | NPU | Use Export Script |
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+ | FastSam-X | SA7255P ADP | SA7255P | QNN | 2095.966 ms | 4 - 9 MB | FP16 | NPU | Use Export Script |
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+ | FastSam-X | SA8255 (Proxy) | SA8255P Proxy | QNN | 44.325 ms | 5 - 10 MB | FP16 | NPU | Use Export Script |
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+ | FastSam-X | SA8295P ADP | SA8295P | QNN | 82.797 ms | 1 - 7 MB | FP16 | NPU | Use Export Script |
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+ | FastSam-X | SA8650 (Proxy) | SA8650P Proxy | QNN | 43.338 ms | 5 - 6 MB | FP16 | NPU | Use Export Script |
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+ | FastSam-X | SA8775P ADP | SA8775P | QNN | 85.641 ms | 1 - 7 MB | FP16 | NPU | Use Export Script |
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+ | FastSam-X | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 89.247 ms | 4 - 61 MB | FP16 | NPU | Use Export Script |
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+ | FastSam-X | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 44.45 ms | 5 - 5 MB | FP16 | NPU | Use Export Script |
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+ | FastSam-X | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 49.475 ms | 139 - 139 MB | FP16 | NPU | [FastSam-X.onnx](https://huggingface.co/qualcomm/FastSam-X/blob/main/FastSam-X.onnx) |
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  FastSam-X
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  Device : Samsung Galaxy S23 (13)
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  Runtime : QNN
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+ Estimated inference time (ms) : 45.0
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+ Estimated peak memory usage (MB): [5, 20]
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  Total # Ops : 418
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  Compute Unit(s) : NPU (418 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.fastsam_x 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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