EfficientViT-l2-cls: Optimized for Qualcomm Devices
EfficientViT 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 EfficientViT-l2-cls 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 2.45, ONNX Runtime 1.27.1 | Download |
| ONNX | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | 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 EfficientViT-l2-cls 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 EfficientViT-l2-cls on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.image_classification
Model Stats:
- Input resolution: 224x224
- Model checkpoint: Imagenet
- Model size (float): 243 MB
- Number of parameters: 63.7M
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| EfficientViT-l2-cls | ONNX | float | Snapdragon® X2 Elite | 7.053 ms | 2 - 2 MB | NPU |
| EfficientViT-l2-cls | ONNX | float | Snapdragon® X Elite | 14.426 ms | 131 - 131 MB | NPU |
| EfficientViT-l2-cls | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 9.99 ms | 0 - 478 MB | NPU |
| EfficientViT-l2-cls | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 57.004 ms | 2 - 366 MB | NPU |
| EfficientViT-l2-cls | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 18.823 ms | 2 - 7 MB | NPU |
| EfficientViT-l2-cls | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 14.109 ms | 0 - 161 MB | NPU |
| EfficientViT-l2-cls | ONNX | float | Qualcomm® QCS8450 | 57.004 ms | 2 - 366 MB | NPU |
| EfficientViT-l2-cls | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 18.557 ms | 1 - 6 MB | NPU |
| EfficientViT-l2-cls | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 14.426 ms | 131 - 131 MB | NPU |
| EfficientViT-l2-cls | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 7.714 ms | 2 - 351 MB | NPU |
| EfficientViT-l2-cls | ONNX | float | Snapdragon® 8 Elite Mobile | 7.714 ms | 2 - 351 MB | NPU |
| EfficientViT-l2-cls | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 6.011 ms | 0 - 373 MB | NPU |
| EfficientViT-l2-cls | ONNX | w8a16 | Snapdragon® X2 Elite | 5.678 ms | 2 - 2 MB | NPU |
| EfficientViT-l2-cls | ONNX | w8a16 | Snapdragon® X Elite | 12.811 ms | 66 - 66 MB | NPU |
| EfficientViT-l2-cls | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 7.804 ms | 1 - 324 MB | NPU |
| EfficientViT-l2-cls | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 14.993 ms | 1 - 323 MB | NPU |
| EfficientViT-l2-cls | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 51.956 ms | 0 - 4 MB | NPU |
| EfficientViT-l2-cls | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 11.095 ms | 0 - 5 MB | NPU |
| EfficientViT-l2-cls | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 11.963 ms | 0 - 82 MB | NPU |
| EfficientViT-l2-cls | ONNX | w8a16 | Qualcomm® QCS8450 | 14.993 ms | 1 - 323 MB | NPU |
| EfficientViT-l2-cls | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 16.37 ms | 0 - 4 MB | NPU |
| EfficientViT-l2-cls | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 12.811 ms | 66 - 66 MB | NPU |
| EfficientViT-l2-cls | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 113.889 ms | 0 - 456 MB | NPU |
| EfficientViT-l2-cls | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 14.84 ms | 1 - 465 MB | NPU |
| EfficientViT-l2-cls | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 5.903 ms | 1 - 259 MB | NPU |
| EfficientViT-l2-cls | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 5.903 ms | 1 - 259 MB | NPU |
| EfficientViT-l2-cls | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 4.764 ms | 0 - 262 MB | NPU |
| EfficientViT-l2-cls | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 14.84 ms | 1 - 465 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | float | Snapdragon® X2 Elite | 8.762 ms | 2 - 2 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | float | Snapdragon® X Elite | 18.194 ms | 2 - 2 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 12.346 ms | 2 - 527 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 43.069 ms | 0 - 355 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 22.32 ms | 2 - 6 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 59.674 ms | 2 - 261 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 17.267 ms | 2 - 4 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | float | Qualcomm® SA8775P | 21.717 ms | 2 - 263 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | float | Qualcomm® SA8650P | 21.717 ms | 2 - 263 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | float | Qualcomm® SA8255P | 21.717 ms | 2 - 263 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | float | Qualcomm® QCS8450 | 43.069 ms | 0 - 355 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 21.97 ms | 4 - 7 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 18.194 ms | 2 - 2 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 8.998 ms | 2 - 260 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | float | Qualcomm® SA7255P | 59.674 ms | 2 - 261 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | float | Qualcomm® SA8295P | 34.905 ms | 2 - 251 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 8.998 ms | 2 - 260 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 7.005 ms | 2 - 273 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 6.891 ms | 1 - 1 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | w8a16 | Snapdragon® X Elite | 15.662 ms | 1 - 1 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 9.367 ms | 1 - 311 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 13.296 ms | 1 - 4 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 27.644 ms | 1 - 254 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 14.454 ms | 1 - 3 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | w8a16 | Qualcomm® SA8775P | 15.001 ms | 1 - 255 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | w8a16 | Qualcomm® SA8650P | 15.001 ms | 1 - 255 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | w8a16 | Qualcomm® SA8255P | 15.001 ms | 1 - 255 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 15.38 ms | 1 - 3 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 15.662 ms | 1 - 1 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 137.325 ms | 1 - 460 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 17.833 ms | 1 - 399 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 6.941 ms | 1 - 252 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | w8a16 | Qualcomm® SA7255P | 27.644 ms | 1 - 254 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 6.941 ms | 1 - 252 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 5.84 ms | 1 - 254 MB | NPU |
| EfficientViT-l2-cls | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 17.833 ms | 1 - 399 MB | NPU |
| EfficientViT-l2-cls | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 11.768 ms | 0 - 611 MB | NPU |
| EfficientViT-l2-cls | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 42.235 ms | 0 - 441 MB | NPU |
| EfficientViT-l2-cls | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 21.503 ms | 0 - 136 MB | NPU |
| EfficientViT-l2-cls | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 58.44 ms | 0 - 469 MB | NPU |
| EfficientViT-l2-cls | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 16.241 ms | 0 - 3 MB | NPU |
| EfficientViT-l2-cls | TFLITE | float | Qualcomm® SA8775P | 20.946 ms | 0 - 333 MB | NPU |
| EfficientViT-l2-cls | TFLITE | float | Qualcomm® SA8650P | 20.946 ms | 0 - 333 MB | NPU |
| EfficientViT-l2-cls | TFLITE | float | Qualcomm® SA8255P | 20.946 ms | 0 - 333 MB | NPU |
| EfficientViT-l2-cls | TFLITE | float | Qualcomm® QCS8450 | 42.235 ms | 0 - 441 MB | NPU |
| EfficientViT-l2-cls | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 21.474 ms | 0 - 135 MB | NPU |
| EfficientViT-l2-cls | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 8.735 ms | 0 - 335 MB | NPU |
| EfficientViT-l2-cls | TFLITE | float | Qualcomm® SA7255P | 58.44 ms | 0 - 469 MB | NPU |
| EfficientViT-l2-cls | TFLITE | float | Qualcomm® SA8295P | 34.363 ms | 0 - 321 MB | NPU |
| EfficientViT-l2-cls | TFLITE | float | Snapdragon® 8 Elite Mobile | 8.735 ms | 0 - 335 MB | NPU |
| EfficientViT-l2-cls | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 6.856 ms | 0 - 468 MB | NPU |
License
- The license for the original implementation of EfficientViT-l2-cls can be found here.
References
- EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense Prediction
- 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.
