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README.md
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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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| FastSam-X | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN |
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| FastSam-X | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX |
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| FastSam-X | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 34.
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| FastSam-X | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX |
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| FastSam-X | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN |
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| FastSam-X | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 31.
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| FastSam-X | QCS8550 (Proxy) | QCS8550 Proxy | QNN |
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| FastSam-X |
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| FastSam-X |
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| FastSam-X |
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| FastSam-X |
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| FastSam-X |
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| FastSam-X |
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| FastSam-X | Snapdragon X Elite CRD | Snapdragon® X Elite |
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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) :
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Estimated peak memory usage (MB): [
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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
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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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| 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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pt_model = torch.jit.trace(torch_model, [torch.tensor(data[0]) for _, data in sample_inputs.items()])
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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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# 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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