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OpenAI-Clip

Image Classification
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ONNX
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android
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@@ -15,7 +15,7 @@ tags:
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  Contrastive Language-Image Pre-Training (CLIP) uses a ViT like transformer to get visual features and a causal language model to get the text features. Both the text and visual features can then be used for a variety of zero-shot learning tasks.
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- This model is an implementation of OpenAI-Clip found [here](https://github.com/openai/CLIP/).
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  This repository provides scripts to run OpenAI-Clip on Qualcomm® devices.
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  More details on model performance across various devices, can be found
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  [here](https://aihub.qualcomm.com/models/openai_clip).
@@ -33,17 +33,53 @@ More details on model performance across various devices, can be found
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  - Number of parameters (CLIPImageEncoder): 115M
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  - Model size (CLIPImageEncoder): 437 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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- | ---|---|---|---|---|---|---|---|
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- | Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 6.808 ms | 0 - 2 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 | 41.61 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 | 5.858 ms | 0 - 19 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 | 32.966 ms | 0 - 58 MB | FP16 | NPU | [CLIPImageEncoder.so](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPImageEncoder.so)
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-
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-
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  ## Installation
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@@ -99,23 +135,25 @@ device. This script does the following:
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  ```bash
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  python -m qai_hub_models.models.openai_clip.export
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  ```
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-
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  ```
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- Profile Job summary of CLIPTextEncoder
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- --------------------------------------------------
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- Device: Snapdragon X Elite CRD (11)
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- Estimated Inference Time: 6.20 ms
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- Estimated Peak Memory Range: 0.12-0.12 MB
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- Compute Units: NPU (445) | Total (445)
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-
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- Profile Job summary of CLIPImageEncoder
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- --------------------------------------------------
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- Device: Snapdragon X Elite CRD (11)
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- Estimated Inference Time: 28.83 ms
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- Estimated Peak Memory Range: 0.57-0.57 MB
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- Compute Units: NPU (438) | Total (438)
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-
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-
 
 
 
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  ```
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@@ -243,15 +281,19 @@ provides instructions on how to use the `.so` shared library in an Android appl
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  Get more details on OpenAI-Clip's performance across various devices [here](https://aihub.qualcomm.com/models/openai_clip).
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  Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)
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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](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf)
 
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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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  * [Source Model Implementation](https://github.com/openai/CLIP/)
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  ## Community
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  * Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
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  * For questions or feedback please [reach out to us](mailto:[email protected]).
 
15
 
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  Contrastive Language-Image Pre-Training (CLIP) uses a ViT like transformer to get visual features and a causal language model to get the text features. Both the text and visual features can then be used for a variety of zero-shot learning tasks.
17
 
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+ This model is an implementation of OpenAI-Clip found [here]({source_repo}).
19
  This repository provides scripts to run OpenAI-Clip on Qualcomm® devices.
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  More details on model performance across various devices, can be found
21
  [here](https://aihub.qualcomm.com/models/openai_clip).
 
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  - Number of parameters (CLIPImageEncoder): 115M
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  - Model size (CLIPImageEncoder): 437 MB
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+ | Model | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
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+ |---|---|---|---|---|---|---|---|---|
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+ | CLIPTextEncoder | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 5.779 ms | 0 - 3 MB | FP16 | NPU | [OpenAI-Clip.tflite](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPTextEncoder.tflite) |
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+ | CLIPTextEncoder | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 4.774 ms | 0 - 16 MB | FP16 | NPU | [OpenAI-Clip.so](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPTextEncoder.so) |
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+ | CLIPTextEncoder | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 35.403 ms | 0 - 130 MB | FP16 | NPU | [OpenAI-Clip.onnx](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPTextEncoder.onnx) |
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+ | CLIPTextEncoder | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 4.079 ms | 0 - 194 MB | FP16 | NPU | [OpenAI-Clip.tflite](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPTextEncoder.tflite) |
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+ | CLIPTextEncoder | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 3.405 ms | 0 - 66 MB | FP16 | NPU | [OpenAI-Clip.so](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPTextEncoder.so) |
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+ | CLIPTextEncoder | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 26.223 ms | 0 - 534 MB | FP16 | NPU | [OpenAI-Clip.onnx](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPTextEncoder.onnx) |
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+ | CLIPTextEncoder | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 5.717 ms | 0 - 2 MB | FP16 | NPU | [OpenAI-Clip.tflite](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPTextEncoder.tflite) |
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+ | CLIPTextEncoder | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 4.856 ms | 0 - 1 MB | FP16 | NPU | Use Export Script |
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+ | CLIPTextEncoder | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 5.711 ms | 0 - 2 MB | FP16 | NPU | [OpenAI-Clip.tflite](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPTextEncoder.tflite) |
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+ | CLIPTextEncoder | SA8255 (Proxy) | SA8255P Proxy | QNN | 4.794 ms | 0 - 1 MB | FP16 | NPU | Use Export Script |
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+ | CLIPTextEncoder | SA8775 (Proxy) | SA8775P Proxy | TFLITE | 5.652 ms | 0 - 2 MB | FP16 | NPU | [OpenAI-Clip.tflite](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPTextEncoder.tflite) |
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+ | CLIPTextEncoder | SA8775 (Proxy) | SA8775P Proxy | QNN | 4.897 ms | 0 - 1 MB | FP16 | NPU | Use Export Script |
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+ | CLIPTextEncoder | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 5.683 ms | 0 - 287 MB | FP16 | NPU | [OpenAI-Clip.tflite](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPTextEncoder.tflite) |
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+ | CLIPTextEncoder | SA8650 (Proxy) | SA8650P Proxy | QNN | 4.903 ms | 0 - 1 MB | FP16 | NPU | Use Export Script |
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+ | CLIPTextEncoder | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 6.593 ms | 0 - 168 MB | FP16 | NPU | [OpenAI-Clip.tflite](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPTextEncoder.tflite) |
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+ | CLIPTextEncoder | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 5.491 ms | 0 - 66 MB | FP16 | NPU | Use Export Script |
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+ | CLIPTextEncoder | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 3.963 ms | 0 - 109 MB | FP16 | NPU | [OpenAI-Clip.tflite](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPTextEncoder.tflite) |
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+ | CLIPTextEncoder | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 3.266 ms | 0 - 65 MB | FP16 | NPU | Use Export Script |
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+ | CLIPTextEncoder | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 23.78 ms | 0 - 319 MB | FP16 | NPU | [OpenAI-Clip.onnx](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPTextEncoder.onnx) |
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+ | CLIPTextEncoder | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 5.196 ms | 0 - 0 MB | FP16 | NPU | Use Export Script |
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+ | CLIPTextEncoder | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 38.329 ms | 126 - 126 MB | FP16 | NPU | [OpenAI-Clip.onnx](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPTextEncoder.onnx) |
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+ | CLIPImageEncoder | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | TFLITE | 38.384 ms | 0 - 2 MB | FP16 | NPU | [OpenAI-Clip.tflite](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPImageEncoder.tflite) |
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+ | CLIPImageEncoder | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | QNN | 27.206 ms | 0 - 56 MB | FP16 | NPU | [OpenAI-Clip.so](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPImageEncoder.so) |
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+ | CLIPImageEncoder | Samsung Galaxy S23 | Snapdragon® 8 Gen 2 | ONNX | 174.036 ms | 0 - 194 MB | FP16 | NPU | [OpenAI-Clip.onnx](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPImageEncoder.onnx) |
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+ | CLIPImageEncoder | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | TFLITE | 33.247 ms | 0 - 666 MB | FP16 | NPU | [OpenAI-Clip.tflite](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPImageEncoder.tflite) |
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+ | CLIPImageEncoder | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | QNN | 24.164 ms | 1 - 170 MB | FP16 | NPU | [OpenAI-Clip.so](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPImageEncoder.so) |
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+ | CLIPImageEncoder | Samsung Galaxy S24 | Snapdragon® 8 Gen 3 | ONNX | 118.868 ms | 1 - 3571 MB | FP16 | NPU | [OpenAI-Clip.onnx](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPImageEncoder.onnx) |
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+ | CLIPImageEncoder | QCS8550 (Proxy) | QCS8550 Proxy | TFLITE | 37.343 ms | 0 - 2 MB | FP16 | NPU | [OpenAI-Clip.tflite](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPImageEncoder.tflite) |
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+ | CLIPImageEncoder | QCS8550 (Proxy) | QCS8550 Proxy | QNN | 22.015 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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+ | CLIPImageEncoder | SA8255 (Proxy) | SA8255P Proxy | TFLITE | 37.324 ms | 0 - 2 MB | FP16 | NPU | [OpenAI-Clip.tflite](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPImageEncoder.tflite) |
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+ | CLIPImageEncoder | SA8255 (Proxy) | SA8255P Proxy | QNN | 22.477 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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+ | CLIPImageEncoder | SA8775 (Proxy) | SA8775P Proxy | TFLITE | 36.58 ms | 0 - 2 MB | FP16 | NPU | [OpenAI-Clip.tflite](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPImageEncoder.tflite) |
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+ | CLIPImageEncoder | SA8775 (Proxy) | SA8775P Proxy | QNN | 22.644 ms | 0 - 1 MB | FP16 | NPU | Use Export Script |
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+ | CLIPImageEncoder | SA8650 (Proxy) | SA8650P Proxy | TFLITE | 36.958 ms | 0 - 3 MB | FP16 | NPU | [OpenAI-Clip.tflite](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPImageEncoder.tflite) |
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+ | CLIPImageEncoder | SA8650 (Proxy) | SA8650P Proxy | QNN | 22.477 ms | 1 - 2 MB | FP16 | NPU | Use Export Script |
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+ | CLIPImageEncoder | QCS8450 (Proxy) | QCS8450 Proxy | TFLITE | 37.123 ms | 0 - 549 MB | FP16 | NPU | [OpenAI-Clip.tflite](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPImageEncoder.tflite) |
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+ | CLIPImageEncoder | QCS8450 (Proxy) | QCS8450 Proxy | QNN | 30.382 ms | 0 - 170 MB | FP16 | NPU | Use Export Script |
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+ | CLIPImageEncoder | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | TFLITE | 25.495 ms | 0 - 460 MB | FP16 | NPU | [OpenAI-Clip.tflite](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPImageEncoder.tflite) |
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+ | CLIPImageEncoder | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | QNN | 17.137 ms | 1 - 172 MB | FP16 | NPU | Use Export Script |
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+ | CLIPImageEncoder | Snapdragon 8 Elite QRD | Snapdragon® 8 Elite | ONNX | 17.137 ms | 1 - 172 MB | FP16 | NPU | [OpenAI-Clip.onnx](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPImageEncoder.onnx) |
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+ | CLIPImageEncoder | Snapdragon X Elite CRD | Snapdragon® X Elite | QNN | 22.135 ms | 1 - 1 MB | FP16 | NPU | Use Export Script |
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+ | CLIPImageEncoder | Snapdragon X Elite CRD | Snapdragon® X Elite | ONNX | 162.155 ms | 188 - 188 MB | FP16 | NPU | [OpenAI-Clip.onnx](https://huggingface.co/qualcomm/OpenAI-Clip/blob/main/CLIPImageEncoder.onnx) |
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  ## Installation
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  ```bash
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  python -m qai_hub_models.models.openai_clip.export
137
  ```
 
138
  ```
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+ Profiling Results
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+ ------------------------------------------------------------
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+ CLIPTextEncoder
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+ Device : Samsung Galaxy S23 (13)
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+ Runtime : TFLITE
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+ Estimated inference time (ms) : 5.8
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+ Estimated peak memory usage (MB): [0, 3]
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+ Total # Ops : 660
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+ Compute Unit(s) : NPU (658 ops) CPU (2 ops)
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+
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+ ------------------------------------------------------------
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+ CLIPImageEncoder
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+ Device : Samsung Galaxy S23 (13)
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+ Runtime : TFLITE
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+ Estimated inference time (ms) : 38.4
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+ Estimated peak memory usage (MB): [0, 2]
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+ Total # Ops : 659
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+ Compute Unit(s) : NPU (659 ops)
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  ```
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  Get more details on OpenAI-Clip's performance across various devices [here](https://aihub.qualcomm.com/models/openai_clip).
282
  Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)
283
 
284
+
285
  ## License
286
+ * The license for the original implementation of OpenAI-Clip can be found [here](https://github.com/openai/CLIP/blob/main/LICENSE).
287
+ * The license for the compiled assets for on-device deployment can be found [here](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/Qualcomm+AI+Hub+Proprietary+License.pdf)
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+
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+
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291
  ## References
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  * [Learning Transferable Visual Models From Natural Language Supervision](https://arxiv.org/abs/2103.00020)
293
  * [Source Model Implementation](https://github.com/openai/CLIP/)
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295
+
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+
297
  ## Community
298
  * Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
299
  * For questions or feedback please [reach out to us](mailto:[email protected]).