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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 | 15.
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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 |
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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library |
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## Installation
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```
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Profile Job summary of CLIPTextEncoder
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--------------------------------------------------
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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 (574),CPU (2) | Total (576)
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Profile Job summary of CLIPImageEncoder
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--------------------------------------------------
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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 (575) | Total (575)
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Profile Job summary of CLIPTextEncoder
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Device: Samsung Galaxy
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Estimated Inference Time:
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Estimated Peak Memory Range: 0.04-
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Compute Units: NPU (
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Profile Job summary of CLIPImageEncoder
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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 (
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```
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## License
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- The license for the original implementation of OpenAI-Clip can be found
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[here](https://github.com/openai/CLIP/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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* [Learning Transferable Visual Models From Natural Language Supervision](https://arxiv.org/abs/2103.00020)
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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 | 15.516 ms | 0 - 3 MB | FP16 | NPU | [CLIPTextEncoder.tflite](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPTextEncoder.tflite)
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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 128.196 ms | 0 - 4 MB | FP16 | NPU | [CLIPImageEncoder.tflite](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPImageEncoder.tflite)
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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 15.586 ms | 0 - 3 MB | FP16 | NPU | [CLIPTextEncoder.so](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPTextEncoder.so)
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| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 127.795 ms | 0 - 4 MB | FP16 | NPU | [CLIPImageEncoder.so](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPImageEncoder.so)
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## Installation
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```
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Profile Job summary of CLIPTextEncoder
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--------------------------------------------------
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Device: Samsung Galaxy S24 (14)
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Estimated Inference Time: 11.12 ms
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Estimated Peak Memory Range: 0.02-194.85 MB
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Compute Units: NPU (574),CPU (2) | Total (576)
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Profile Job summary of CLIPImageEncoder
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--------------------------------------------------
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Device: Samsung Galaxy S24 (14)
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Estimated Inference Time: 98.56 ms
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Estimated Peak Memory Range: 0.16-745.19 MB
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Compute Units: NPU (575) | Total (575)
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Profile Job summary of CLIPTextEncoder
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--------------------------------------------------
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Device: Samsung Galaxy S24 (14)
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Estimated Inference Time: 11.25 ms
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Estimated Peak Memory Range: 0.04-195.98 MB
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Compute Units: NPU (574),CPU (2) | Total (576)
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Profile Job summary of CLIPImageEncoder
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--------------------------------------------------
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Device: Samsung Galaxy S24 (14)
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Estimated Inference Time: 97.28 ms
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Estimated Peak Memory Range: 0.23-747.56 MB
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Compute Units: NPU (575) | Total (575)
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```
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## License
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- The license for the original implementation of OpenAI-Clip can be found
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[here](https://github.com/openai/CLIP/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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* [Learning Transferable Visual Models From Natural Language Supervision](https://arxiv.org/abs/2103.00020)
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