TrOCR: Optimized for Qualcomm Devices
End-to-end text recognition approach with pre-trained image transformer and text transformer models for both image understanding and wordpiece-level text generation.
This is based on the implementation of TrOCR found here. This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the Qualcomm® AI Hub Models library to export with custom configurations. More details on model performance across various devices, can be found here.
Qualcomm AI Hub Models uses Qualcomm AI Hub Workbench to compile, profile, and evaluate this model. Sign up to run these models on a hosted Qualcomm® device.
Getting Started
There are two ways to deploy this model on your device:
Option 1: Download Pre-Exported Models
Below are pre-exported model assets ready for deployment.
| Runtime | Precision | Chipset | SDK Versions | Download |
|---|---|---|---|---|
| ONNX | float | Universal | QAIRT 2.42, ONNX Runtime 1.24.3 | Download |
| QNN_DLC | float | Universal | QAIRT 2.45 | Download |
| TFLITE | float | Universal | QAIRT 2.45 | Download |
For more device-specific assets and performance metrics, visit TrOCR on Qualcomm® AI Hub.
Option 2: Export with Custom Configurations
Use the Qualcomm® AI Hub Models 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 TrOCR on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.image_to_text
Model Stats:
- Model checkpoint: trocr-small-stage1
- Input resolution: 320x320
- Number of parameters (decoder): 38.3M
- Model size (decoder) (float): 146 MB
- Number of parameters (encoder): 23.0M
- Model size (encoder) (float): 87.8 MB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| decoder | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.142 ms | 1 - 220 MB | NPU |
| decoder | ONNX | float | Snapdragon® 8 Elite Mobile | 1.25 ms | 0 - 218 MB | NPU |
| decoder | ONNX | float | Snapdragon® X2 Elite | 1.157 ms | 68 - 68 MB | NPU |
| decoder | ONNX | float | Snapdragon® X Elite | 2.232 ms | 67 - 67 MB | NPU |
| decoder | ONNX | float | Snapdragon® X Elite | 2.232 ms | 67 - 67 MB | NPU |
| decoder | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.435 ms | 0 - 247 MB | NPU |
| decoder | ONNX | float | Qualcomm® QCS8550 (Proxy) | 2.101 ms | 0 - 74 MB | NPU |
| decoder | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.25 ms | 0 - 218 MB | NPU |
| decoder | ONNX | float | Qualcomm® QCS9075 | 2.739 ms | 7 - 16 MB | NPU |
| decoder | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.14 ms | 1 - 172 MB | NPU |
| decoder | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 1.237 ms | 0 - 186 MB | NPU |
| decoder | QNN_DLC | float | Snapdragon® X2 Elite | 1.598 ms | 7 - 7 MB | NPU |
| decoder | QNN_DLC | float | Snapdragon® X Elite | 2.131 ms | 7 - 7 MB | NPU |
| decoder | QNN_DLC | float | Snapdragon® X Elite | 2.131 ms | 7 - 7 MB | NPU |
| decoder | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.389 ms | 0 - 276 MB | NPU |
| decoder | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 1.95 ms | 3 - 4 MB | NPU |
| decoder | QNN_DLC | float | Qualcomm® SA8775P | 2.873 ms | 7 - 106 MB | NPU |
| decoder | QNN_DLC | float | Qualcomm® SA8775P | 2.873 ms | 7 - 106 MB | NPU |
| decoder | QNN_DLC | float | Qualcomm® SA8775P | 2.873 ms | 7 - 106 MB | NPU |
| decoder | QNN_DLC | float | Qualcomm® SA7255P | 4.136 ms | 7 - 105 MB | NPU |
| decoder | QNN_DLC | float | Qualcomm® SA8295P | 2.627 ms | 0 - 49 MB | NPU |
| decoder | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.237 ms | 0 - 186 MB | NPU |
| decoder | QNN_DLC | float | Qualcomm® QCS9075 | 2.525 ms | 7 - 15 MB | NPU |
| decoder | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 2.683 ms | 2 - 217 MB | NPU |
| decoder | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.116 ms | 0 - 175 MB | NPU |
| decoder | TFLITE | float | Snapdragon® 8 Elite Mobile | 1.214 ms | 0 - 190 MB | NPU |
| decoder | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.404 ms | 0 - 281 MB | NPU |
| decoder | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 2.042 ms | 0 - 2 MB | NPU |
| decoder | TFLITE | float | Qualcomm® SA8775P | 2.876 ms | 0 - 102 MB | NPU |
| decoder | TFLITE | float | Qualcomm® SA8775P | 2.876 ms | 0 - 102 MB | NPU |
| decoder | TFLITE | float | Qualcomm® SA8775P | 2.876 ms | 0 - 102 MB | NPU |
| decoder | TFLITE | float | Qualcomm® SA7255P | 4.202 ms | 0 - 103 MB | NPU |
| decoder | TFLITE | float | Qualcomm® SA8295P | 2.669 ms | 0 - 43 MB | NPU |
| decoder | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.214 ms | 0 - 190 MB | NPU |
| decoder | TFLITE | float | Qualcomm® QCS9075 | 2.594 ms | 0 - 83 MB | NPU |
| decoder | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 2.459 ms | 0 - 217 MB | NPU |
| encoder | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 4.156 ms | 1 - 150 MB | NPU |
| encoder | ONNX | float | Snapdragon® 8 Elite Mobile | 5.278 ms | 16 - 166 MB | NPU |
| encoder | ONNX | float | Snapdragon® X2 Elite | 4.579 ms | 48 - 48 MB | NPU |
| encoder | ONNX | float | Snapdragon® X Elite | 11.423 ms | 47 - 47 MB | NPU |
| encoder | ONNX | float | Snapdragon® X Elite | 11.423 ms | 47 - 47 MB | NPU |
| encoder | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 7.824 ms | 16 - 234 MB | NPU |
| encoder | ONNX | float | Qualcomm® QCS8550 (Proxy) | 10.913 ms | 0 - 60 MB | NPU |
| encoder | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 5.278 ms | 16 - 166 MB | NPU |
| encoder | ONNX | float | Qualcomm® QCS9075 | 14.132 ms | 15 - 19 MB | NPU |
| encoder | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 4.31 ms | 2 - 115 MB | NPU |
| encoder | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 5.447 ms | 2 - 114 MB | NPU |
| encoder | QNN_DLC | float | Snapdragon® X2 Elite | 5.055 ms | 2 - 2 MB | NPU |
| encoder | QNN_DLC | float | Snapdragon® X Elite | 11.986 ms | 2 - 2 MB | NPU |
| encoder | QNN_DLC | float | Snapdragon® X Elite | 11.986 ms | 2 - 2 MB | NPU |
| encoder | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 8.006 ms | 0 - 189 MB | NPU |
| encoder | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 11.264 ms | 2 - 4 MB | NPU |
| encoder | QNN_DLC | float | Qualcomm® SA8775P | 13.992 ms | 2 - 108 MB | NPU |
| encoder | QNN_DLC | float | Qualcomm® SA8775P | 13.992 ms | 2 - 108 MB | NPU |
| encoder | QNN_DLC | float | Qualcomm® SA8775P | 13.992 ms | 2 - 108 MB | NPU |
| encoder | QNN_DLC | float | Qualcomm® SA7255P | 37.067 ms | 2 - 106 MB | NPU |
| encoder | QNN_DLC | float | Qualcomm® SA8295P | 19.685 ms | 2 - 233 MB | NPU |
| encoder | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 5.447 ms | 2 - 114 MB | NPU |
| encoder | QNN_DLC | float | Qualcomm® QCS9075 | 15.054 ms | 2 - 12 MB | NPU |
| encoder | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 19.555 ms | 0 - 307 MB | NPU |
| encoder | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 4.074 ms | 0 - 110 MB | NPU |
| encoder | TFLITE | float | Snapdragon® 8 Elite Mobile | 5.205 ms | 6 - 118 MB | NPU |
| encoder | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 7.714 ms | 7 - 198 MB | NPU |
| encoder | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 10.695 ms | 7 - 9 MB | NPU |
| encoder | TFLITE | float | Qualcomm® SA8775P | 13.51 ms | 7 - 111 MB | NPU |
| encoder | TFLITE | float | Qualcomm® SA8775P | 13.51 ms | 7 - 111 MB | NPU |
| encoder | TFLITE | float | Qualcomm® SA8775P | 13.51 ms | 7 - 111 MB | NPU |
| encoder | TFLITE | float | Qualcomm® SA7255P | 36.817 ms | 7 - 120 MB | NPU |
| encoder | TFLITE | float | Qualcomm® SA8295P | 19.074 ms | 8 - 236 MB | NPU |
| encoder | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 5.205 ms | 6 - 118 MB | NPU |
| encoder | TFLITE | float | Qualcomm® QCS9075 | 13.937 ms | 6 - 65 MB | NPU |
| encoder | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 19.779 ms | 7 - 311 MB | NPU |
License
- The license for the original implementation of TrOCR can be found here.
References
- TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
- Source Model Implementation
Community
- Join our AI Hub Slack community to collaborate, post questions and learn more about on-device AI.
- For questions or feedback please reach out to us.
