Mobile-VIT: Optimized for Qualcomm Devices
MobileVit is a machine learning model that can classify images from the Imagenet dataset. It can also be used as a backbone in building more complex models for specific use cases.
This is based on the implementation of Mobile-VIT 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 |
| ONNX | w8a16 | Universal | QAIRT 2.42, ONNX Runtime 1.24.3 | Download |
| QNN_DLC | float | Universal | QAIRT 2.45 | Download |
| QNN_DLC | w8a16 | Universal | QAIRT 2.45 | Download |
| TFLITE | float | Universal | QAIRT 2.45 | Download |
For more device-specific assets and performance metrics, visit Mobile-VIT 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 Mobile-VIT on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.image_classification
Model Stats:
- Model checkpoint: Imagenet
- Input resolution: 224x224
- Number of parameters: 5.57M
- Model size (float): 21.4 MB
- Model size (w8a16): 6.56 MB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| Mobile-VIT | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.021 ms | 1 - 94 MB | NPU |
| Mobile-VIT | ONNX | float | Snapdragon® 8 Elite Mobile | 2.456 ms | 0 - 78 MB | NPU |
| Mobile-VIT | ONNX | float | Snapdragon® X2 Elite | 2.268 ms | 12 - 12 MB | NPU |
| Mobile-VIT | ONNX | float | Snapdragon® X Elite | 4.782 ms | 12 - 12 MB | NPU |
| Mobile-VIT | ONNX | float | Snapdragon® X Elite | 4.782 ms | 12 - 12 MB | NPU |
| Mobile-VIT | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 3.029 ms | 0 - 99 MB | NPU |
| Mobile-VIT | ONNX | float | Qualcomm® QCS8550 (Proxy) | 4.385 ms | 0 - 17 MB | NPU |
| Mobile-VIT | ONNX | float | Qualcomm® QCS9075 | 5.204 ms | 1 - 4 MB | NPU |
| Mobile-VIT | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.456 ms | 0 - 78 MB | NPU |
| Mobile-VIT | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 2.324 ms | 0 - 103 MB | NPU |
| Mobile-VIT | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 2.743 ms | 0 - 110 MB | NPU |
| Mobile-VIT | ONNX | w8a16 | Snapdragon® X2 Elite | 2.473 ms | 6 - 6 MB | NPU |
| Mobile-VIT | ONNX | w8a16 | Snapdragon® X Elite | 5.907 ms | 6 - 6 MB | NPU |
| Mobile-VIT | ONNX | w8a16 | Snapdragon® X Elite | 5.907 ms | 6 - 6 MB | NPU |
| Mobile-VIT | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 3.644 ms | 0 - 121 MB | NPU |
| Mobile-VIT | ONNX | w8a16 | Qualcomm® QCS6490 | 320.267 ms | 63 - 67 MB | CPU |
| Mobile-VIT | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 5.481 ms | 0 - 10 MB | NPU |
| Mobile-VIT | ONNX | w8a16 | Qualcomm® QCS9075 | 5.815 ms | 0 - 3 MB | NPU |
| Mobile-VIT | ONNX | w8a16 | Qualcomm® QCM6690 | 139.206 ms | 63 - 75 MB | CPU |
| Mobile-VIT | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 2.743 ms | 0 - 110 MB | NPU |
| Mobile-VIT | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 121.198 ms | 63 - 74 MB | CPU |
| Mobile-VIT | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 121.198 ms | 63 - 74 MB | CPU |
| Mobile-VIT | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.973 ms | 1 - 61 MB | NPU |
| Mobile-VIT | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 2.386 ms | 0 - 59 MB | NPU |
| Mobile-VIT | QNN_DLC | float | Snapdragon® X2 Elite | 2.494 ms | 1 - 1 MB | NPU |
| Mobile-VIT | QNN_DLC | float | Snapdragon® X Elite | 4.615 ms | 1 - 1 MB | NPU |
| Mobile-VIT | QNN_DLC | float | Snapdragon® X Elite | 4.615 ms | 1 - 1 MB | NPU |
| Mobile-VIT | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 2.938 ms | 0 - 88 MB | NPU |
| Mobile-VIT | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 11.191 ms | 1 - 57 MB | NPU |
| Mobile-VIT | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 4.259 ms | 1 - 3 MB | NPU |
| Mobile-VIT | QNN_DLC | float | Qualcomm® SA8775P | 5.023 ms | 1 - 66 MB | NPU |
| Mobile-VIT | QNN_DLC | float | Qualcomm® SA8775P | 5.023 ms | 1 - 66 MB | NPU |
| Mobile-VIT | QNN_DLC | float | Qualcomm® SA8775P | 5.023 ms | 1 - 66 MB | NPU |
| Mobile-VIT | QNN_DLC | float | Qualcomm® QCS9075 | 4.963 ms | 1 - 3 MB | NPU |
| Mobile-VIT | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 6.428 ms | 0 - 88 MB | NPU |
| Mobile-VIT | QNN_DLC | float | Qualcomm® SA7255P | 11.191 ms | 1 - 57 MB | NPU |
| Mobile-VIT | QNN_DLC | float | Qualcomm® SA8295P | 7.35 ms | 1 - 61 MB | NPU |
| Mobile-VIT | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.386 ms | 0 - 59 MB | NPU |
| Mobile-VIT | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 1.785 ms | 0 - 76 MB | NPU |
| Mobile-VIT | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 2.187 ms | 0 - 73 MB | NPU |
| Mobile-VIT | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 2.19 ms | 0 - 0 MB | NPU |
| Mobile-VIT | QNN_DLC | w8a16 | Snapdragon® X Elite | 4.902 ms | 0 - 0 MB | NPU |
| Mobile-VIT | QNN_DLC | w8a16 | Snapdragon® X Elite | 4.902 ms | 0 - 0 MB | NPU |
| Mobile-VIT | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 2.973 ms | 0 - 93 MB | NPU |
| Mobile-VIT | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 8.055 ms | 0 - 71 MB | NPU |
| Mobile-VIT | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 4.467 ms | 0 - 3 MB | NPU |
| Mobile-VIT | QNN_DLC | w8a16 | Qualcomm® SA8775P | 4.918 ms | 0 - 70 MB | NPU |
| Mobile-VIT | QNN_DLC | w8a16 | Qualcomm® SA8775P | 4.918 ms | 0 - 70 MB | NPU |
| Mobile-VIT | QNN_DLC | w8a16 | Qualcomm® SA8775P | 4.918 ms | 0 - 70 MB | NPU |
| Mobile-VIT | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 4.863 ms | 2 - 4 MB | NPU |
| Mobile-VIT | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 18.915 ms | 0 - 224 MB | NPU |
| Mobile-VIT | QNN_DLC | w8a16 | Qualcomm® SA7255P | 8.055 ms | 0 - 71 MB | NPU |
| Mobile-VIT | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 2.187 ms | 0 - 73 MB | NPU |
| Mobile-VIT | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 4.858 ms | 0 - 217 MB | NPU |
| Mobile-VIT | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 4.858 ms | 0 - 217 MB | NPU |
| Mobile-VIT | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.974 ms | 0 - 77 MB | NPU |
| Mobile-VIT | TFLITE | float | Snapdragon® 8 Elite Mobile | 2.386 ms | 0 - 77 MB | NPU |
| Mobile-VIT | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2.946 ms | 0 - 97 MB | NPU |
| Mobile-VIT | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 11.205 ms | 0 - 78 MB | NPU |
| Mobile-VIT | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 4.215 ms | 0 - 2 MB | NPU |
| Mobile-VIT | TFLITE | float | Qualcomm® SA8775P | 5.063 ms | 0 - 80 MB | NPU |
| Mobile-VIT | TFLITE | float | Qualcomm® SA8775P | 5.063 ms | 0 - 80 MB | NPU |
| Mobile-VIT | TFLITE | float | Qualcomm® SA8775P | 5.063 ms | 0 - 80 MB | NPU |
| Mobile-VIT | TFLITE | float | Qualcomm® QCS9075 | 4.976 ms | 0 - 15 MB | NPU |
| Mobile-VIT | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 6.424 ms | 0 - 98 MB | NPU |
| Mobile-VIT | TFLITE | float | Qualcomm® SA7255P | 11.205 ms | 0 - 78 MB | NPU |
| Mobile-VIT | TFLITE | float | Qualcomm® SA8295P | 7.407 ms | 0 - 64 MB | NPU |
| Mobile-VIT | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 2.386 ms | 0 - 77 MB | NPU |
License
- The license for the original implementation of Mobile-VIT can be found here.
References
- MOBILEVIT: LIGHT-WEIGHT, GENERAL-PURPOSE, AND MOBILE-FRIENDLY VISION TRANSFORMER
- 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.
