EfficientNet-Lite4: Optimized for Qualcomm Devices
EfficientNet-Lite4 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 EfficientNet-Lite4 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 2.50, ONNX Runtime 1.30.0 | Download |
| ONNX | w8a8 | Universal | QAIRT 2.50, ONNX Runtime 1.30.0 | Download |
| QNN_DLC | float | Universal | QAIRT 2.50 | Download |
| QNN_DLC | w8a8 | Universal | QAIRT 2.50 | Download |
| TFLITE | float | Universal | QAIRT 2.50 | Download |
| TFLITE | w8a8 | Universal | QAIRT 2.50 | Download |
For more device-specific assets and performance metrics, visit EfficientNet-Lite4 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 EfficientNet-Lite4 on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.image_classification
Model Stats:
- Input resolution: 300x300
- Model checkpoint: Imagenet
- Model size (float): 51.9 MB
- Number of parameters: 13.01M
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| EfficientNet-Lite4 | ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 1.138 ms | 0 - 60 MB | NPU |
| EfficientNet-Lite4 | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.503 ms | 0 - 61 MB | NPU |
| EfficientNet-Lite4 | ONNX | float | Snapdragon® X2 Elite | 1.427 ms | 1 - 1 MB | NPU |
| EfficientNet-Lite4 | ONNX | float | Snapdragon® X Elite | 2.744 ms | 29 - 29 MB | NPU |
| EfficientNet-Lite4 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.918 ms | 0 - 108 MB | NPU |
| EfficientNet-Lite4 | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 5.326 ms | 0 - 102 MB | NPU |
| EfficientNet-Lite4 | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 4.613 ms | 1 - 5 MB | NPU |
| EfficientNet-Lite4 | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 2.637 ms | 1 - 3 MB | NPU |
| EfficientNet-Lite4 | ONNX | float | Qualcomm® QCS8450 | 5.326 ms | 0 - 102 MB | NPU |
| EfficientNet-Lite4 | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 4.152 ms | 1 - 4 MB | NPU |
| EfficientNet-Lite4 | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 2.744 ms | 29 - 29 MB | NPU |
| EfficientNet-Lite4 | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 1.503 ms | 0 - 61 MB | NPU |
| EfficientNet-Lite4 | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.588 ms | 0 - 78 MB | NPU |
| EfficientNet-Lite4 | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.703 ms | 0 - 79 MB | NPU |
| EfficientNet-Lite4 | ONNX | w8a8 | Snapdragon® X2 Elite | 0.607 ms | 1 - 1 MB | NPU |
| EfficientNet-Lite4 | ONNX | w8a8 | Snapdragon® X Elite | 1.248 ms | 15 - 15 MB | NPU |
| EfficientNet-Lite4 | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.874 ms | 0 - 117 MB | NPU |
| EfficientNet-Lite4 | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.779 ms | 0 - 123 MB | NPU |
| EfficientNet-Lite4 | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 5.244 ms | 0 - 4 MB | NPU |
| EfficientNet-Lite4 | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 1.316 ms | 0 - 4 MB | NPU |
| EfficientNet-Lite4 | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.228 ms | 0 - 3 MB | NPU |
| EfficientNet-Lite4 | ONNX | w8a8 | Qualcomm® QCS8450 | 1.779 ms | 0 - 123 MB | NPU |
| EfficientNet-Lite4 | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 1.416 ms | 0 - 3 MB | NPU |
| EfficientNet-Lite4 | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 1.248 ms | 15 - 15 MB | NPU |
| EfficientNet-Lite4 | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 10.721 ms | 0 - 190 MB | NPU |
| EfficientNet-Lite4 | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 1.452 ms | 0 - 77 MB | NPU |
| EfficientNet-Lite4 | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.703 ms | 0 - 79 MB | NPU |
| EfficientNet-Lite4 | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.452 ms | 0 - 77 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 1.25 ms | 1 - 64 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.692 ms | 0 - 56 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | float | Snapdragon® X2 Elite | 1.842 ms | 1 - 1 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | float | Snapdragon® X Elite | 3.489 ms | 1 - 1 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 2.191 ms | 0 - 101 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 6.699 ms | 0 - 102 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 4.861 ms | 1 - 5 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 3.144 ms | 1 - 3 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | float | Qualcomm® QCS8450 | 6.699 ms | 0 - 102 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 4.525 ms | 1 - 4 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 3.489 ms | 1 - 1 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 1.692 ms | 0 - 56 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | float | Qualcomm® SA8295P | 6.327 ms | 1 - 53 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.519 ms | 0 - 69 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.648 ms | 0 - 67 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.714 ms | 0 - 0 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.895 ms | 0 - 101 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.914 ms | 0 - 113 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 6.163 ms | 0 - 3 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 1.322 ms | 0 - 3 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.281 ms | 0 - 18 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | w8a8 | Qualcomm® SA8650P | 1.611 ms | 0 - 66 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | w8a8 | Qualcomm® SA8255P | 1.611 ms | 0 - 66 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 1.914 ms | 0 - 113 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 1.406 ms | 0 - 3 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 11.262 ms | 0 - 183 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 1.591 ms | 0 - 70 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.648 ms | 0 - 67 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | w8a8 | Qualcomm® SA8295P | 2.387 ms | 0 - 66 MB | NPU |
| EfficientNet-Lite4 | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.591 ms | 0 - 70 MB | NPU |
| EfficientNet-Lite4 | TFLITE | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 1.247 ms | 0 - 73 MB | NPU |
| EfficientNet-Lite4 | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.682 ms | 0 - 72 MB | NPU |
| EfficientNet-Lite4 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 2.21 ms | 0 - 121 MB | NPU |
| EfficientNet-Lite4 | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 6.495 ms | 0 - 116 MB | NPU |
| EfficientNet-Lite4 | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 4.834 ms | 0 - 33 MB | NPU |
| EfficientNet-Lite4 | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 3.077 ms | 0 - 4 MB | NPU |
| EfficientNet-Lite4 | TFLITE | float | Qualcomm® SA8775P | 16.255 ms | 0 - 32 MB | GPU |
| EfficientNet-Lite4 | TFLITE | float | Qualcomm® SA8650P | 16.255 ms | 0 - 32 MB | GPU |
| EfficientNet-Lite4 | TFLITE | float | Qualcomm® SA8255P | 16.255 ms | 0 - 32 MB | GPU |
| EfficientNet-Lite4 | TFLITE | float | Qualcomm® QCS8450 | 6.495 ms | 0 - 116 MB | NPU |
| EfficientNet-Lite4 | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 4.522 ms | 0 - 33 MB | NPU |
| EfficientNet-Lite4 | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 1.682 ms | 0 - 72 MB | NPU |
| EfficientNet-Lite4 | TFLITE | float | Qualcomm® SA7255P | 36.418 ms | 0 - 28 MB | GPU |
| EfficientNet-Lite4 | TFLITE | float | Qualcomm® SA8295P | 6.322 ms | 0 - 52 MB | NPU |
| EfficientNet-Lite4 | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 0.418 ms | 0 - 64 MB | NPU |
| EfficientNet-Lite4 | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.508 ms | 0 - 62 MB | NPU |
| EfficientNet-Lite4 | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.656 ms | 0 - 96 MB | NPU |
| EfficientNet-Lite4 | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 1.398 ms | 0 - 109 MB | NPU |
| EfficientNet-Lite4 | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 4.683 ms | 0 - 31 MB | NPU |
| EfficientNet-Lite4 | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 1.015 ms | 0 - 18 MB | NPU |
| EfficientNet-Lite4 | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.899 ms | 0 - 80 MB | NPU |
| EfficientNet-Lite4 | TFLITE | w8a8 | Qualcomm® SA8650P | 1.278 ms | 0 - 63 MB | NPU |
| EfficientNet-Lite4 | TFLITE | w8a8 | Qualcomm® SA8255P | 1.278 ms | 0 - 63 MB | NPU |
| EfficientNet-Lite4 | TFLITE | w8a8 | Qualcomm® QCS8450 | 1.398 ms | 0 - 109 MB | NPU |
| EfficientNet-Lite4 | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 1.052 ms | 0 - 18 MB | NPU |
| EfficientNet-Lite4 | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 10.043 ms | 0 - 176 MB | NPU |
| EfficientNet-Lite4 | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 1.293 ms | 0 - 170 MB | NPU |
| EfficientNet-Lite4 | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 0.508 ms | 0 - 62 MB | NPU |
| EfficientNet-Lite4 | TFLITE | w8a8 | Qualcomm® SA7255P | 37.673 ms | 1 - 27 MB | GPU |
| EfficientNet-Lite4 | TFLITE | w8a8 | Qualcomm® SA8295P | 2.003 ms | 0 - 59 MB | NPU |
| EfficientNet-Lite4 | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.293 ms | 0 - 170 MB | NPU |
License
- The license for the original implementation of EfficientNet-Lite4 can be found here.
References
- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
- 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.
