| --- |
| library_name: pytorch |
| license: apache-2.0 |
| tags: |
| - backbone |
| - android |
| pipeline_tag: image-classification |
|
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| --- |
| |
|  |
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| # RepViT: Optimized for Qualcomm Devices |
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| RepViT is a lightweight pure CNN model for mobile devices, incorporating efficient architectural designs from Vision Transformers into CNNs. It achieves over 80% top-1 accuracy on ImageNet with 1ms latency on an iPhone 12. |
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| This is based on the implementation of RepViT found [here](https://github.com/THU-MIG/RepViT). |
| 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/v0.63.0/src/qai_hub_models/models/repvit) 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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| ## Getting Started |
| There are two ways to deploy this model on your device: |
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| ### Option 1: Download Pre-Exported Models |
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| Below are pre-exported model assets ready for deployment. |
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| | Runtime | Precision | Chipset | SDK Versions | Download | |
| |---|---|---|---|---| |
| | ONNX | float | Universal | QAIRT 2.50, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/repvit/releases/v0.63.0/repvit-onnx-float.zip) |
| | QNN_DLC | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/repvit/releases/v0.63.0/repvit-qnn_dlc-float.zip) |
| | TFLITE | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/repvit/releases/v0.63.0/repvit-tflite-float.zip) |
| |
| For more device-specific assets and performance metrics, visit **[RepViT on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/repvit)**. |
| |
| |
| ### Option 2: Export with Custom Configurations |
| |
| Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.63.0/src/qai_hub_models/models/repvit) Python library to compile and export the model with your own: |
| - Custom weights (e.g., fine-tuned checkpoints) |
| - Custom input shapes |
| - Target device and runtime configurations |
| |
| This option is ideal if you need to customize the model beyond the default configuration provided here. |
| |
| See our repository for [RepViT on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.63.0/src/qai_hub_models/models/repvit) for usage instructions. |
| |
| ## Model Details |
| |
| **Model Type:** Model_use_case.image_classification |
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| **Model Stats:** |
| - Input resolution: 224x224 |
| - Model checkpoint: Imagenet |
| - Model size (float): 91 MB |
| - Number of parameters: 22.9M |
|
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| ## Performance Summary |
| | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
| |---|---|---|---|---|---|--- |
| | RepViT | ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 1.43 ms | 0 - 114 MB | NPU |
| | RepViT | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.776 ms | 0 - 113 MB | NPU |
| | RepViT | ONNX | float | Snapdragon® X2 Elite | 1.697 ms | 2 - 2 MB | NPU |
| | RepViT | ONNX | float | Snapdragon® X Elite | 3.327 ms | 48 - 48 MB | NPU |
| | RepViT | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 2.356 ms | 0 - 194 MB | NPU |
| | RepViT | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 11.235 ms | 0 - 192 MB | NPU |
| | RepViT | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 4.608 ms | 0 - 5 MB | NPU |
| | RepViT | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 3.192 ms | 0 - 50 MB | NPU |
| | RepViT | ONNX | float | Qualcomm® QCS8450 | 11.235 ms | 0 - 192 MB | NPU |
| | RepViT | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 4.334 ms | 0 - 4 MB | NPU |
| | RepViT | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 3.327 ms | 48 - 48 MB | NPU |
| | RepViT | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 1.776 ms | 0 - 113 MB | NPU |
| | RepViT | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 1.519 ms | 1 - 106 MB | NPU |
| | RepViT | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.887 ms | 0 - 101 MB | NPU |
| | RepViT | QNN_DLC | float | Snapdragon® X2 Elite | 2.057 ms | 1 - 1 MB | NPU |
| | RepViT | QNN_DLC | float | Snapdragon® X Elite | 3.864 ms | 1 - 1 MB | NPU |
| | RepViT | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 2.529 ms | 1 - 182 MB | NPU |
| | RepViT | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 11.884 ms | 1 - 175 MB | NPU |
| | RepViT | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 4.73 ms | 1 - 4 MB | NPU |
| | RepViT | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 3.476 ms | 1 - 3 MB | NPU |
| | RepViT | QNN_DLC | float | Qualcomm® SA8775P | 4.728 ms | 1 - 103 MB | NPU |
| | RepViT | QNN_DLC | float | Qualcomm® SA8650P | 4.728 ms | 1 - 103 MB | NPU |
| | RepViT | QNN_DLC | float | Qualcomm® SA8255P | 4.728 ms | 1 - 103 MB | NPU |
| | RepViT | QNN_DLC | float | Qualcomm® QCS8450 | 11.884 ms | 1 - 175 MB | NPU |
| | RepViT | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 4.556 ms | 3 - 5 MB | NPU |
| | RepViT | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 3.864 ms | 1 - 1 MB | NPU |
| | RepViT | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 1.887 ms | 0 - 101 MB | NPU |
| | RepViT | QNN_DLC | float | Qualcomm® SA8295P | 9.508 ms | 1 - 103 MB | NPU |
| | RepViT | TFLITE | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 1.507 ms | 0 - 169 MB | NPU |
| | RepViT | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.876 ms | 0 - 161 MB | NPU |
| | RepViT | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2.51 ms | 0 - 230 MB | NPU |
| | RepViT | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 11.937 ms | 0 - 224 MB | NPU |
| | RepViT | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 4.746 ms | 0 - 51 MB | NPU |
| | RepViT | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 3.429 ms | 0 - 3 MB | NPU |
| | RepViT | TFLITE | float | Qualcomm® SA8775P | 4.696 ms | 0 - 164 MB | NPU |
| | RepViT | TFLITE | float | Qualcomm® SA8650P | 4.696 ms | 0 - 164 MB | NPU |
| | RepViT | TFLITE | float | Qualcomm® SA8255P | 4.696 ms | 0 - 164 MB | NPU |
| | RepViT | TFLITE | float | Qualcomm® QCS8450 | 11.937 ms | 0 - 224 MB | NPU |
| | RepViT | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 4.571 ms | 0 - 51 MB | NPU |
| | RepViT | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 1.876 ms | 0 - 161 MB | NPU |
| | RepViT | TFLITE | float | Qualcomm® SA8295P | 9.497 ms | 0 - 159 MB | NPU |
|
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| ## License |
| * The license for the original implementation of RepViT can be found |
| [here](https://github.com/THU-MIG/RepViT/blob/main/LICENSE). |
|
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| ## References |
| * [RepViT: Revisiting Mobile CNN From ViT Perspective](https://arxiv.org/abs/2307.09283) |
| * [Source Model Implementation](https://github.com/THU-MIG/RepViT) |
|
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| ## Community |
| * Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI. |
| * For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com). |
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