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qualcomm
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FFNet-40S

Image Segmentation
PyTorch
TF Lite
real_time
android
Model card Files Community
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@@ -100,9 +100,9 @@ python -m qai_hub_models.models.ffnet_40s.export
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  ```
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  Profile Job summary of FFNet-40S
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  --------------------------------------------------
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- Device: Snapdragon X Elite CRD (11)
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- Estimated Inference Time: 17.74 ms
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- Estimated Peak Memory Range: 24.05-24.05 MB
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  Compute Units: NPU (140) | Total (140)
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  ```
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  Profile Job summary of FFNet-40S
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  --------------------------------------------------
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+ Device: SA8255 (Proxy) (13)
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+ Estimated Inference Time: 17.47 ms
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+ Estimated Peak Memory Range: 24.02-42.00 MB
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  Compute Units: NPU (140) | Total (140)
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