MobileNet-v3-Small: Optimized for Qualcomm Devices
MobileNetV3Small 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 MobileNet-v3-Small 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 |
| 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 MobileNet-v3-Small 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 MobileNet-v3-Small 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: 2.54M
- Model size (float): 9.71 MB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| MobileNet-v3-Small | ONNX | float | Snapdragon® X2 Elite | 0.244 ms | 2 - 2 MB | NPU |
| MobileNet-v3-Small | ONNX | float | Snapdragon® X Elite | 0.551 ms | 6 - 6 MB | NPU |
| MobileNet-v3-Small | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.351 ms | 0 - 45 MB | NPU |
| MobileNet-v3-Small | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 0.866 ms | 1 - 51 MB | NPU |
| MobileNet-v3-Small | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.549 ms | 0 - 8 MB | NPU |
| MobileNet-v3-Small | ONNX | float | Qualcomm® QCS8450 | 0.866 ms | 1 - 51 MB | NPU |
| MobileNet-v3-Small | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 0.707 ms | 1 - 3 MB | NPU |
| MobileNet-v3-Small | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 0.551 ms | 6 - 6 MB | NPU |
| MobileNet-v3-Small | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.287 ms | 0 - 29 MB | NPU |
| MobileNet-v3-Small | ONNX | float | Snapdragon® 8 Elite Mobile | 0.287 ms | 0 - 29 MB | NPU |
| MobileNet-v3-Small | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.252 ms | 0 - 29 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | float | Snapdragon® X2 Elite | 0.44 ms | 1 - 1 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | float | Snapdragon® X Elite | 0.957 ms | 1 - 1 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.55 ms | 0 - 43 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 1.586 ms | 0 - 50 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8275 | 2.078 ms | 1 - 28 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.831 ms | 1 - 2 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | float | Qualcomm® SA8775P | 1.095 ms | 1 - 32 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | float | Qualcomm® SA8650P | 1.095 ms | 1 - 32 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | float | Qualcomm® SA8255P | 1.095 ms | 1 - 32 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | float | Qualcomm® QCS8450 | 1.586 ms | 0 - 50 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 0.977 ms | 3 - 5 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 0.957 ms | 1 - 1 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 0.412 ms | 0 - 33 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | float | Qualcomm® SA7255P | 2.078 ms | 1 - 28 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | float | Qualcomm® SA8295P | 1.454 ms | 1 - 29 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 0.412 ms | 0 - 33 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.323 ms | 1 - 31 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.428 ms | 0 - 0 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | w8a16 | Snapdragon® X Elite | 0.944 ms | 0 - 0 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.554 ms | 0 - 39 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 0.99 ms | 0 - 47 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 2.744 ms | 0 - 2 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8275 | 1.772 ms | 0 - 28 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.795 ms | 0 - 2 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® SA8775P | 1.015 ms | 0 - 30 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® SA8650P | 1.015 ms | 0 - 30 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® SA8255P | 1.015 ms | 0 - 30 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 0.99 ms | 0 - 47 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 0.904 ms | 2 - 4 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 0.944 ms | 0 - 0 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 2.83 ms | 0 - 141 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 0.811 ms | 0 - 27 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.377 ms | 0 - 31 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® SA7255P | 1.772 ms | 0 - 28 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | w8a16 | Qualcomm® SA8295P | 1.324 ms | 0 - 27 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 0.377 ms | 0 - 31 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.315 ms | 0 - 27 MB | NPU |
| MobileNet-v3-Small | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 0.811 ms | 0 - 27 MB | NPU |
| MobileNet-v3-Small | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.56 ms | 0 - 45 MB | NPU |
| MobileNet-v3-Small | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 1.594 ms | 0 - 50 MB | NPU |
| MobileNet-v3-Small | TFLITE | float | Qualcomm® Dragonwing™ QCS8275 | 2.154 ms | 0 - 30 MB | NPU |
| MobileNet-v3-Small | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 0.835 ms | 0 - 2 MB | NPU |
| MobileNet-v3-Small | TFLITE | float | Qualcomm® SA8775P | 1.152 ms | 0 - 32 MB | NPU |
| MobileNet-v3-Small | TFLITE | float | Qualcomm® SA8650P | 1.152 ms | 0 - 32 MB | NPU |
| MobileNet-v3-Small | TFLITE | float | Qualcomm® SA8255P | 1.152 ms | 0 - 32 MB | NPU |
| MobileNet-v3-Small | TFLITE | float | Qualcomm® QCS8450 | 1.594 ms | 0 - 50 MB | NPU |
| MobileNet-v3-Small | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 1.013 ms | 0 - 8 MB | NPU |
| MobileNet-v3-Small | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 0.423 ms | 0 - 29 MB | NPU |
| MobileNet-v3-Small | TFLITE | float | Qualcomm® SA7255P | 2.154 ms | 0 - 30 MB | NPU |
| MobileNet-v3-Small | TFLITE | float | Qualcomm® SA8295P | 1.494 ms | 0 - 29 MB | NPU |
| MobileNet-v3-Small | TFLITE | float | Snapdragon® 8 Elite Mobile | 0.423 ms | 0 - 29 MB | NPU |
| MobileNet-v3-Small | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.32 ms | 0 - 31 MB | NPU |
License
- The license for the original implementation of MobileNet-v3-Small 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.
