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README.md
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@@ -34,29 +34,31 @@ 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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| ESRGAN | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE |
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| ESRGAN | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN |
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| ESRGAN | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 71.
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| ESRGAN | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 48.914 ms | 3 - 662 MB | FP16 | NPU | [ESRGAN.tflite](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.tflite) |
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| ESRGAN | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 50.
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| ESRGAN | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX |
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| ESRGAN | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 37.
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| ESRGAN | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 42.
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| ESRGAN | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 43.
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| ESRGAN | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE |
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| ESRGAN | QCS8550 (Proxy) | QCS8550 Proxy | QNN |
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| ESRGAN |
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| ESRGAN |
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| ESRGAN |
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| ESRGAN |
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| ESRGAN |
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ESRGAN
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Device : Samsung Galaxy S23 (13)
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Runtime : TFLITE
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Estimated inference time (ms) :
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Estimated peak memory usage (MB): [3,
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Total # Ops : 1024
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Compute Unit(s) : NPU (1024 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.esrgan 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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| ESRGAN | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 69.024 ms | 3 - 41 MB | FP16 | NPU | [ESRGAN.tflite](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.tflite) |
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| ESRGAN | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 66.742 ms | 0 - 38 MB | FP16 | NPU | [ESRGAN.so](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.so) |
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| ESRGAN | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 71.631 ms | 0 - 42 MB | FP16 | NPU | [ESRGAN.onnx](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.onnx) |
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| ESRGAN | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 48.914 ms | 3 - 662 MB | FP16 | NPU | [ESRGAN.tflite](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.tflite) |
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| ESRGAN | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 50.107 ms | 0 - 107 MB | FP16 | NPU | [ESRGAN.so](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.so) |
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| ESRGAN | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 49.647 ms | 7 - 697 MB | FP16 | NPU | [ESRGAN.onnx](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.onnx) |
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| ESRGAN | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 37.457 ms | 3 - 134 MB | FP16 | NPU | [ESRGAN.tflite](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.tflite) |
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| ESRGAN | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 42.368 ms | 0 - 130 MB | FP16 | NPU | Use Export Script |
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| ESRGAN | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 43.233 ms | 0 - 178 MB | FP16 | NPU | [ESRGAN.onnx](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.onnx) |
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| ESRGAN | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 69.792 ms | 3 - 43 MB | FP16 | NPU | [ESRGAN.tflite](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.tflite) |
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| ESRGAN | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 63.641 ms | 0 - 2 MB | FP16 | NPU | Use Export Script |
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| ESRGAN | SA7255P ADP | SA7255P | TFLITE | 3548.908 ms | 0 - 131 MB | FP16 | NPU | [ESRGAN.tflite](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.tflite) |
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| ESRGAN | SA7255P ADP | SA7255P | QNN | 3549.141 ms | 1 - 6 MB | FP16 | NPU | Use Export Script |
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| ESRGAN | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 69.9 ms | 0 - 220 MB | FP16 | NPU | [ESRGAN.tflite](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.tflite) |
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| ESRGAN | SA8255 (Proxy) | SA8255P Proxy | QNN | 63.964 ms | 0 - 2 MB | FP16 | NPU | Use Export Script |
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| ESRGAN | SA8295P ADP | SA8295P | TFLITE | 112.147 ms | 3 - 126 MB | FP16 | NPU | [ESRGAN.tflite](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.tflite) |
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| ESRGAN | SA8295P ADP | SA8295P | QNN | 111.111 ms | 0 - 6 MB | FP16 | NPU | Use Export Script |
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| ESRGAN | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 66.467 ms | 0 - 117 MB | FP16 | NPU | [ESRGAN.tflite](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.tflite) |
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| ESRGAN | SA8650 (Proxy) | SA8650P Proxy | QNN | 63.164 ms | 0 - 2 MB | FP16 | NPU | Use Export Script |
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| ESRGAN | SA8775P ADP | SA8775P | TFLITE | 131.599 ms | 3 - 136 MB | FP16 | NPU | [ESRGAN.tflite](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.tflite) |
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| ESRGAN | SA8775P ADP | SA8775P | QNN | 131.068 ms | 0 - 6 MB | FP16 | NPU | Use Export Script |
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| ESRGAN | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 133.506 ms | 3 - 106 MB | FP16 | NPU | [ESRGAN.tflite](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.tflite) |
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| ESRGAN | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 128.638 ms | 0 - 87 MB | FP16 | NPU | Use Export Script |
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| ESRGAN | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 64.855 ms | 0 - 0 MB | FP16 | NPU | Use Export Script |
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| ESRGAN | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 65.698 ms | 38 - 38 MB | FP16 | NPU | [ESRGAN.onnx](https://huggingface.co/qualcomm/ESRGAN/blob/main/ESRGAN.onnx) |
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ESRGAN
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Device : Samsung Galaxy S23 (13)
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Runtime : TFLITE
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Estimated inference time (ms) : 69.0
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Estimated peak memory usage (MB): [3, 41]
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Total # Ops : 1024
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Compute Unit(s) : NPU (1024 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.esrgan 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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