EfficientNet-V2-s: Optimized for Qualcomm Devices
EfficientNetV2-s 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-V2-s 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 EfficientNet-V2-s 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-V2-s on GitHub for usage instructions.
Model Details
Model Type: Model_use_case.image_classification
Model Stats:
- Input resolution: 384x384
- Model checkpoint: Imagenet
- Model size (float): 81.7 MB
- Model size (w8a16): 27.2 MB
- Number of parameters: 21.4M
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| EfficientNet-V2-s | ONNX | float | Snapdragon® X2 Elite | 3.04 ms | 2 - 2 MB | NPU |
| EfficientNet-V2-s | ONNX | float | Snapdragon® X Elite | 5.624 ms | 46 - 46 MB | NPU |
| EfficientNet-V2-s | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 4.065 ms | 0 - 165 MB | NPU |
| EfficientNet-V2-s | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 11.81 ms | 1 - 198 MB | NPU |
| EfficientNet-V2-s | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 8.125 ms | 2 - 7 MB | NPU |
| EfficientNet-V2-s | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 5.338 ms | 0 - 245 MB | NPU |
| EfficientNet-V2-s | ONNX | float | Qualcomm® QCS8450 | 11.81 ms | 1 - 198 MB | NPU |
| EfficientNet-V2-s | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 8.402 ms | 1 - 6 MB | NPU |
| EfficientNet-V2-s | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 5.624 ms | 46 - 46 MB | NPU |
| EfficientNet-V2-s | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 3.094 ms | 0 - 201 MB | NPU |
| EfficientNet-V2-s | ONNX | float | Snapdragon® 8 Elite Mobile | 3.094 ms | 0 - 201 MB | NPU |
| EfficientNet-V2-s | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.319 ms | 0 - 205 MB | NPU |
| EfficientNet-V2-s | ONNX | w8a16 | Snapdragon® X2 Elite | 3.682 ms | 2 - 2 MB | NPU |
| EfficientNet-V2-s | ONNX | w8a16 | Snapdragon® X Elite | 5.713 ms | 24 - 24 MB | NPU |
| EfficientNet-V2-s | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 3.649 ms | 0 - 207 MB | NPU |
| EfficientNet-V2-s | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 6.71 ms | 1 - 215 MB | NPU |
| EfficientNet-V2-s | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 20.425 ms | 1 - 4 MB | NPU |
| EfficientNet-V2-s | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 5.127 ms | 1 - 4 MB | NPU |
| EfficientNet-V2-s | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 5.459 ms | 0 - 30 MB | NPU |
| EfficientNet-V2-s | ONNX | w8a16 | Qualcomm® QCS8450 | 6.71 ms | 1 - 215 MB | NPU |
| EfficientNet-V2-s | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 5.764 ms | 1 - 4 MB | NPU |
| EfficientNet-V2-s | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 5.713 ms | 24 - 24 MB | NPU |
| EfficientNet-V2-s | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 38.658 ms | 1 - 272 MB | NPU |
| EfficientNet-V2-s | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 6.553 ms | 1 - 271 MB | NPU |
| EfficientNet-V2-s | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 2.512 ms | 0 - 164 MB | NPU |
| EfficientNet-V2-s | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 2.512 ms | 0 - 164 MB | NPU |
| EfficientNet-V2-s | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 2.017 ms | 0 - 166 MB | NPU |
| EfficientNet-V2-s | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 6.553 ms | 1 - 271 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | float | Snapdragon® X2 Elite | 3.488 ms | 2 - 2 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | float | Snapdragon® X Elite | 6.329 ms | 2 - 2 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 4.343 ms | 0 - 156 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 13.389 ms | 2 - 190 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 8.21 ms | 2 - 6 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 25.736 ms | 2 - 75 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 5.78 ms | 2 - 157 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | float | Qualcomm® SA8775P | 8.196 ms | 2 - 76 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | float | Qualcomm® SA8650P | 8.196 ms | 2 - 76 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | float | Qualcomm® SA8255P | 8.196 ms | 2 - 76 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | float | Qualcomm® QCS8450 | 13.389 ms | 2 - 190 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 7.913 ms | 4 - 7 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 6.329 ms | 2 - 2 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 3.136 ms | 2 - 80 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | float | Qualcomm® SA7255P | 25.736 ms | 2 - 75 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | float | Qualcomm® SA8295P | 12.983 ms | 2 - 106 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 3.136 ms | 2 - 80 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.363 ms | 2 - 85 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 2.874 ms | 1 - 1 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | w8a16 | Snapdragon® X Elite | 6.802 ms | 1 - 1 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 4.214 ms | 0 - 177 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 8.171 ms | 1 - 187 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 21.491 ms | 1 - 3 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 5.8 ms | 1 - 4 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 12.095 ms | 1 - 134 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 6.252 ms | 1 - 3 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | w8a16 | Qualcomm® SA8775P | 6.735 ms | 1 - 136 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | w8a16 | Qualcomm® SA8650P | 6.735 ms | 1 - 136 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | w8a16 | Qualcomm® SA8255P | 6.735 ms | 1 - 136 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 8.171 ms | 1 - 187 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 7.367 ms | 0 - 3 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 6.802 ms | 1 - 1 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 42.732 ms | 1 - 255 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 7.245 ms | 1 - 254 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 2.801 ms | 0 - 144 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | w8a16 | Qualcomm® SA7255P | 12.095 ms | 1 - 134 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | w8a16 | Qualcomm® SA8295P | 8.356 ms | 1 - 134 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 2.801 ms | 0 - 144 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 2.245 ms | 1 - 145 MB | NPU |
| EfficientNet-V2-s | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 7.245 ms | 1 - 254 MB | NPU |
| EfficientNet-V2-s | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 4.327 ms | 0 - 199 MB | NPU |
| EfficientNet-V2-s | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 13.532 ms | 0 - 229 MB | NPU |
| EfficientNet-V2-s | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 8.204 ms | 0 - 52 MB | NPU |
| EfficientNet-V2-s | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 25.837 ms | 0 - 116 MB | NPU |
| EfficientNet-V2-s | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 5.738 ms | 0 - 2 MB | NPU |
| EfficientNet-V2-s | TFLITE | float | Qualcomm® SA8775P | 8.238 ms | 0 - 118 MB | NPU |
| EfficientNet-V2-s | TFLITE | float | Qualcomm® SA8650P | 8.238 ms | 0 - 118 MB | NPU |
| EfficientNet-V2-s | TFLITE | float | Qualcomm® SA8255P | 8.238 ms | 0 - 118 MB | NPU |
| EfficientNet-V2-s | TFLITE | float | Qualcomm® QCS8450 | 13.532 ms | 0 - 229 MB | NPU |
| EfficientNet-V2-s | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 7.938 ms | 0 - 51 MB | NPU |
| EfficientNet-V2-s | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 3.134 ms | 0 - 123 MB | NPU |
| EfficientNet-V2-s | TFLITE | float | Qualcomm® SA7255P | 25.837 ms | 0 - 116 MB | NPU |
| EfficientNet-V2-s | TFLITE | float | Qualcomm® SA8295P | 13.011 ms | 0 - 149 MB | NPU |
| EfficientNet-V2-s | TFLITE | float | Snapdragon® 8 Elite Mobile | 3.134 ms | 0 - 123 MB | NPU |
| EfficientNet-V2-s | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 2.339 ms | 0 - 120 MB | NPU |
License
- The license for the original implementation of EfficientNet-V2-s can be found here.
References
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.
