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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 | 2.
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## Installation
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```
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Profile Job summary of ResNet101
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Device: Samsung Galaxy
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Estimated Inference Time:
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Estimated Peak Memory Range: 0.
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Compute Units: NPU (145) | Total (145)
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Profile Job summary of ResNet101
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Device: Samsung Galaxy
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Estimated Inference Time: 2.
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Estimated Peak Memory Range: 0.59-
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Compute Units: NPU (244) | Total (244)
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## License
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- The license for the original implementation of ResNet101 can be found
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[here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the compiled assets for on-device deployment can be found [here](
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## References
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* [Deep Residual Learning for Image Recognition](https://arxiv.org/abs/1512.03385)
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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 | 2.993 ms | 0 - 2 MB | FP16 | NPU | [ResNet101.tflite](https://huggingface.co/qualcomm/ResNet101/blob/main/ResNet101.tflite)
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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 2.921 ms | 1 - 216 MB | FP16 | NPU | [ResNet101.so](https://huggingface.co/qualcomm/ResNet101/blob/main/ResNet101.so)
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## Installation
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```
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Profile Job summary of ResNet101
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Device: Samsung Galaxy S24 (14)
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Estimated Inference Time: 2.22 ms
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Estimated Peak Memory Range: 0.02-98.23 MB
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Compute Units: NPU (145) | Total (145)
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Profile Job summary of ResNet101
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--------------------------------------------------
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Device: Samsung Galaxy S24 (14)
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Estimated Inference Time: 2.13 ms
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Estimated Peak Memory Range: 0.59-68.45 MB
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Compute Units: NPU (244) | Total (244)
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## License
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- The license for the original implementation of ResNet101 can be found
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[here](https://github.com/pytorch/vision/blob/main/LICENSE).
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- The license for the compiled assets for on-device deployment can be found [here]({deploy_license_url})
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## References
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* [Deep Residual Learning for Image Recognition](https://arxiv.org/abs/1512.03385)
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