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README.md
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@@ -30,14 +30,15 @@ More details on model performance across various devices, can be found
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- Input resolution: 2048x1024
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- Number of parameters: 18.0M
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- Model size: 68.8 MB
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| Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 20.
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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 20.
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@@ -99,9 +100,9 @@ python -m qai_hub_models.models.ffnet_54s.export
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```
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Profile Job summary of FFNet-54S
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--------------------------------------------------
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Device:
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Estimated Inference Time: 20.
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Estimated Peak Memory Range: 24.
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Compute Units: NPU (175) | Total (175)
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- Input resolution: 2048x1024
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- Number of parameters: 18.0M
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- Model size: 68.8 MB
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- Number of output classes: 19
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| Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 20.654 ms | 2 - 5 MB | FP16 | NPU | [FFNet-54S.tflite](https://huggingface.co/qualcomm/FFNet-54S/blob/main/FFNet-54S.tflite)
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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 20.395 ms | 24 - 40 MB | FP16 | NPU | [FFNet-54S.so](https://huggingface.co/qualcomm/FFNet-54S/blob/main/FFNet-54S.so)
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```
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Profile Job summary of FFNet-54S
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--------------------------------------------------
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Device: SA8255 (Proxy) (13)
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Estimated Inference Time: 20.07 ms
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Estimated Peak Memory Range: 24.03-39.14 MB
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Compute Units: NPU (175) | Total (175)
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