v0.60.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.60.0 for changelog.
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- release_assets.json +21 -4
README.md
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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 is based on the implementation of OpenAI-Clip found [here](https://github.com/openai/CLIP/).
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This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.
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Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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| ONNX | float | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/openai_clip/releases/v0.
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For more device-specific assets and performance metrics, visit **[OpenAI-Clip on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/openai_clip)**.
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### Option 2: Export with Custom Configurations
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Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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This option is ideal if you need to customize the model beyond the default configuration provided here.
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See our repository for [OpenAI-Clip on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.
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## Model Details
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**Model Type:** Model_use_case.image_classification
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**Model Stats:**
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- Model checkpoint: ViT-B/16
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- Image input resolution: 224x224
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- Number of parameters: 150M
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- Model size (float): 571 MB
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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| OpenAI-Clip | ONNX | float | Snapdragon® X2 Elite |
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| OpenAI-Clip | ONNX | float | Snapdragon® X Elite |
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| OpenAI-Clip | ONNX | float | Snapdragon® 8 Gen 3 Mobile |
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| OpenAI-Clip | ONNX | float | Snapdragon® 8 Gen 1 Mobile |
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| OpenAI-Clip | ONNX | float | Qualcomm® Dragonwing™
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| OpenAI-Clip | ONNX | float | Qualcomm®
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| OpenAI-Clip | ONNX | float | Qualcomm®
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| OpenAI-Clip | ONNX | float | Qualcomm® Dragonwing™ IQ-
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| OpenAI-Clip | ONNX | float | Qualcomm® Dragonwing™
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| OpenAI-Clip | ONNX | float |
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| OpenAI-Clip | ONNX | float | Snapdragon® 8 Elite
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| OpenAI-Clip |
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| OpenAI-Clip |
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| OpenAI-Clip |
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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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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 is based on the implementation of OpenAI-Clip found [here](https://github.com/openai/CLIP/).
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This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.60.0/src/qai_hub_models/models/openai_clip) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
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Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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|---|---|---|---|---|
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| ONNX | float | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/openai_clip/releases/v0.60.0/openai_clip-onnx-float.zip)
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| ONNX | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/openai_clip/releases/v0.60.0/openai_clip-onnx-w8a16.zip)
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| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/openai_clip/releases/v0.60.0/openai_clip-qnn_dlc-float.zip)
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| QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/openai_clip/releases/v0.60.0/openai_clip-qnn_dlc-w8a16.zip)
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| TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/openai_clip/releases/v0.60.0/openai_clip-tflite-float.zip)
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For more device-specific assets and performance metrics, visit **[OpenAI-Clip on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/openai_clip)**.
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### Option 2: Export with Custom Configurations
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Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.60.0/src/qai_hub_models/models/openai_clip) Python library to compile and export the model with your own:
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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This option is ideal if you need to customize the model beyond the default configuration provided here.
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See our repository for [OpenAI-Clip on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.60.0/src/qai_hub_models/models/openai_clip) for usage instructions.
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## Model Details
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**Model Type:** Model_use_case.image_classification
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**Model Stats:**
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- Image input resolution: 224x224
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- Model checkpoint: ViT-B/16
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- Model size (float): 571 MB
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- Number of parameters: 150M
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- Text context length: 77
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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|---|---|---|---|---|---|---
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| OpenAI-Clip | ONNX | float | Snapdragon® X2 Elite | 15.041 ms | 2 - 2 MB | NPU
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| OpenAI-Clip | ONNX | float | Snapdragon® X Elite | 33.087 ms | 294 - 294 MB | NPU
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| OpenAI-Clip | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 21.543 ms | 0 - 1185 MB | NPU
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| OpenAI-Clip | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 47.884 ms | 1 - 894 MB | NPU
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| OpenAI-Clip | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 35.963 ms | 0 - 4 MB | NPU
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| OpenAI-Clip | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 31.992 ms | 1 - 4 MB | NPU
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| OpenAI-Clip | ONNX | float | Qualcomm® QCS8450 | 47.884 ms | 1 - 894 MB | NPU
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| OpenAI-Clip | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 47.242 ms | 0 - 4 MB | NPU
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| OpenAI-Clip | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 33.087 ms | 294 - 294 MB | NPU
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| OpenAI-Clip | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 16.846 ms | 1 - 958 MB | NPU
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| OpenAI-Clip | ONNX | float | Snapdragon® 8 Elite Mobile | 16.846 ms | 1 - 958 MB | NPU
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| OpenAI-Clip | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 13.451 ms | 1 - 807 MB | NPU
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| OpenAI-Clip | ONNX | w8a16 | Snapdragon® X2 Elite | 13.395 ms | 1 - 1 MB | NPU
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| OpenAI-Clip | ONNX | w8a16 | Snapdragon® X Elite | 27.143 ms | 174 - 174 MB | NPU
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| OpenAI-Clip | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 18.713 ms | 0 - 750 MB | NPU
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| OpenAI-Clip | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 39.887 ms | 0 - 757 MB | NPU
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| OpenAI-Clip | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 145.153 ms | 1 - 4 MB | NPU
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| OpenAI-Clip | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 24.715 ms | 0 - 4 MB | NPU
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| OpenAI-Clip | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 26.341 ms | 0 - 4 MB | NPU
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| OpenAI-Clip | ONNX | w8a16 | Qualcomm® QCS8450 | 39.887 ms | 0 - 757 MB | NPU
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| OpenAI-Clip | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 28.04 ms | 0 - 3 MB | NPU
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| OpenAI-Clip | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 27.143 ms | 174 - 174 MB | NPU
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| OpenAI-Clip | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 303.476 ms | 1 - 667 MB | NPU
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| OpenAI-Clip | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 37.384 ms | 1 - 670 MB | NPU
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| OpenAI-Clip | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 14.885 ms | 0 - 641 MB | NPU
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| OpenAI-Clip | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 14.885 ms | 0 - 641 MB | NPU
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| OpenAI-Clip | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 12.908 ms | 0 - 684 MB | NPU
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| OpenAI-Clip | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 37.384 ms | 1 - 670 MB | NPU
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| OpenAI-Clip | QNN_DLC | float | Snapdragon® X2 Elite | 14.657 ms | 1 - 1 MB | NPU
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| OpenAI-Clip | QNN_DLC | float | Snapdragon® X Elite | 33.277 ms | 1 - 1 MB | NPU
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| OpenAI-Clip | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 21.772 ms | 0 - 924 MB | NPU
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| OpenAI-Clip | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 46.455 ms | 0 - 854 MB | NPU
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| OpenAI-Clip | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 36.428 ms | 1 - 3 MB | NPU
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| OpenAI-Clip | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 98.999 ms | 1 - 704 MB | NPU
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| OpenAI-Clip | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 31.465 ms | 1 - 2 MB | NPU
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| OpenAI-Clip | QNN_DLC | float | Qualcomm® SA8775P | 36.693 ms | 1 - 701 MB | NPU
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| OpenAI-Clip | QNN_DLC | float | Qualcomm® SA8650P | 36.693 ms | 1 - 701 MB | NPU
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| OpenAI-Clip | QNN_DLC | float | Qualcomm® SA8255P | 36.693 ms | 1 - 701 MB | NPU
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| OpenAI-Clip | QNN_DLC | float | Qualcomm® QCS8450 | 46.455 ms | 0 - 854 MB | NPU
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| OpenAI-Clip | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 36.921 ms | 1 - 3 MB | NPU
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| OpenAI-Clip | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 33.277 ms | 1 - 1 MB | NPU
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| OpenAI-Clip | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 17.214 ms | 1 - 694 MB | NPU
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| OpenAI-Clip | QNN_DLC | float | Qualcomm® SA7255P | 98.999 ms | 1 - 704 MB | NPU
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| OpenAI-Clip | QNN_DLC | float | Qualcomm® SA8295P | 38.524 ms | 1 - 798 MB | NPU
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| OpenAI-Clip | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 17.214 ms | 1 - 694 MB | NPU
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| OpenAI-Clip | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 13.331 ms | 0 - 704 MB | NPU
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| OpenAI-Clip | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 14.407 ms | 0 - 0 MB | NPU
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| OpenAI-Clip | QNN_DLC | w8a16 | Snapdragon® X Elite | 33.346 ms | 1 - 1 MB | NPU
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| OpenAI-Clip | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 22.836 ms | 48 - 798 MB | NPU
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| OpenAI-Clip | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 29.984 ms | 0 - 3 MB | NPU
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| OpenAI-Clip | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 67.718 ms | 1 - 604 MB | NPU
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| OpenAI-Clip | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 32.935 ms | 0 - 542 MB | NPU
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| OpenAI-Clip | QNN_DLC | w8a16 | Qualcomm® SA8775P | 32.423 ms | 0 - 603 MB | NPU
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| OpenAI-Clip | QNN_DLC | w8a16 | Qualcomm® SA8650P | 32.423 ms | 0 - 603 MB | NPU
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| OpenAI-Clip | QNN_DLC | w8a16 | Qualcomm® SA8255P | 32.423 ms | 0 - 603 MB | NPU
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| OpenAI-Clip | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 32.652 ms | 2 - 4 MB | NPU
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| OpenAI-Clip | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 33.346 ms | 1 - 1 MB | NPU
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| OpenAI-Clip | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 420.338 ms | 1 - 686 MB | NPU
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| OpenAI-Clip | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 41.427 ms | 0 - 658 MB | NPU
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| OpenAI-Clip | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 18.398 ms | 0 - 632 MB | NPU
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| OpenAI-Clip | QNN_DLC | w8a16 | Qualcomm® SA7255P | 67.718 ms | 1 - 604 MB | NPU
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| OpenAI-Clip | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 18.398 ms | 0 - 632 MB | NPU
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| OpenAI-Clip | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 14.483 ms | 0 - 678 MB | NPU
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| OpenAI-Clip | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 41.427 ms | 0 - 658 MB | NPU
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| OpenAI-Clip | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 21.716 ms | 0 - 898 MB | NPU
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| OpenAI-Clip | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 40.386 ms | 0 - 907 MB | NPU
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| OpenAI-Clip | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 34.917 ms | 0 - 297 MB | NPU
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| OpenAI-Clip | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 95.588 ms | 0 - 664 MB | NPU
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| OpenAI-Clip | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 31.241 ms | 0 - 3 MB | NPU
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| OpenAI-Clip | TFLITE | float | Qualcomm® SA8775P | 35.93 ms | 0 - 670 MB | NPU
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| OpenAI-Clip | TFLITE | float | Qualcomm® SA8650P | 35.93 ms | 0 - 670 MB | NPU
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| OpenAI-Clip | TFLITE | float | Qualcomm® SA8255P | 35.93 ms | 0 - 670 MB | NPU
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| OpenAI-Clip | TFLITE | float | Qualcomm® QCS8450 | 40.386 ms | 0 - 907 MB | NPU
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| OpenAI-Clip | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 36.095 ms | 0 - 296 MB | NPU
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| OpenAI-Clip | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 17.396 ms | 0 - 694 MB | NPU
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| OpenAI-Clip | TFLITE | float | Qualcomm® SA7255P | 95.588 ms | 0 - 664 MB | NPU
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| OpenAI-Clip | TFLITE | float | Qualcomm® SA8295P | 38.381 ms | 0 - 622 MB | NPU
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| OpenAI-Clip | TFLITE | float | Snapdragon® 8 Elite Mobile | 17.396 ms | 0 - 694 MB | NPU
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| OpenAI-Clip | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 13.007 ms | 0 - 538 MB | NPU
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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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release_assets.json
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{
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"version": "0.
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"precisions": {
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"float": {
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"universal_assets": {
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"qairt": "2.45.0.260326154327",
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"onnx_runtime": "1.27.1"
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},
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"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/openai_clip/releases/v0.
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},
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"qnn_dlc": {
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"tool_versions": {
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"qairt": "2.45.0.260326154327"
|
| 16 |
},
|
| 17 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/openai_clip/releases/v0.
|
| 18 |
},
|
| 19 |
"tflite": {
|
| 20 |
"tool_versions": {
|
| 21 |
"qairt": "2.45.0.260326154327"
|
| 22 |
},
|
| 23 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/openai_clip/releases/v0.
|
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|
| 24 |
}
|
| 25 |
}
|
| 26 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"version": "0.60.0",
|
| 3 |
"precisions": {
|
| 4 |
"float": {
|
| 5 |
"universal_assets": {
|
|
|
|
| 8 |
"qairt": "2.45.0.260326154327",
|
| 9 |
"onnx_runtime": "1.27.1"
|
| 10 |
},
|
| 11 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/openai_clip/releases/v0.60.0/openai_clip-onnx-float.zip"
|
| 12 |
},
|
| 13 |
"qnn_dlc": {
|
| 14 |
"tool_versions": {
|
| 15 |
"qairt": "2.45.0.260326154327"
|
| 16 |
},
|
| 17 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/openai_clip/releases/v0.60.0/openai_clip-qnn_dlc-float.zip"
|
| 18 |
},
|
| 19 |
"tflite": {
|
| 20 |
"tool_versions": {
|
| 21 |
"qairt": "2.45.0.260326154327"
|
| 22 |
},
|
| 23 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/openai_clip/releases/v0.60.0/openai_clip-tflite-float.zip"
|
| 24 |
+
}
|
| 25 |
+
}
|
| 26 |
+
},
|
| 27 |
+
"w8a16": {
|
| 28 |
+
"universal_assets": {
|
| 29 |
+
"onnx": {
|
| 30 |
+
"tool_versions": {
|
| 31 |
+
"qairt": "2.45.0.260326154327",
|
| 32 |
+
"onnx_runtime": "1.27.1"
|
| 33 |
+
},
|
| 34 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/openai_clip/releases/v0.60.0/openai_clip-onnx-w8a16.zip"
|
| 35 |
+
},
|
| 36 |
+
"qnn_dlc": {
|
| 37 |
+
"tool_versions": {
|
| 38 |
+
"qairt": "2.45.0.260326154327"
|
| 39 |
+
},
|
| 40 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/openai_clip/releases/v0.60.0/openai_clip-qnn_dlc-w8a16.zip"
|
| 41 |
}
|
| 42 |
}
|
| 43 |
}
|