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README.md
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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 |
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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 17.
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## Installation
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python -m qai_hub_models.models.ffnet_40s.export
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```
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```
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Profile Job summary of FFNet-40S
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Device: Samsung Galaxy S24 (14)
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Estimated Inference Time: 16.60 ms
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Estimated Peak Memory Range: 0.02-101.51 MB
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Compute Units: NPU (92) | Total (92)
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Profile Job summary of FFNet-40S
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Device: Samsung Galaxy S24 (14)
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Estimated Inference Time: 12.56 ms
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Estimated Peak Memory Range: 24.04-82.64 MB
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Compute Units: NPU (140) | Total (140)
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```
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## How does this work?
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This [export script](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/FFNet-40S/export.py)
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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 | 23.048 ms | 0 - 29 MB | FP16 | NPU | [FFNet-40S.tflite](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.tflite)
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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 17.363 ms | 24 - 42 MB | FP16 | NPU | [FFNet-40S.so](https://huggingface.co/qualcomm/FFNet-40S/blob/main/FFNet-40S.so)
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## Installation
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python -m qai_hub_models.models.ffnet_40s.export
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```
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## How does this work?
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This [export script](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/FFNet-40S/export.py)
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