MobileNet-v3-Large: Optimized for Qualcomm Devices
MobileNet-v3-Large 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-Large 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 1.24.1 | Download |
| ONNX | w8a16 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | Download |
| QNN_DLC | float | Universal | QAIRT 2.43 | Download |
| QNN_DLC | w8a16 | Universal | QAIRT 2.43 | Download |
| TFLITE | float | Universal | QAIRT 2.43, TFLite 2.17.0 | Download |
For more device-specific assets and performance metrics, visit MobileNet-v3-Large 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-Large 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: 5.47M
- Model size (float): 20.9 MB
- Model size (w8a16): 6.35 MB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| MobileNet-v3-Large | ONNX | float | Snapdragon® X2 Elite | 0.361 ms | 13 - 13 MB | NPU |
| MobileNet-v3-Large | ONNX | float | Snapdragon® X Elite | 0.853 ms | 12 - 12 MB | NPU |
| MobileNet-v3-Large | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.501 ms | 0 - 54 MB | NPU |
| MobileNet-v3-Large | ONNX | float | Qualcomm® QCS8550 (Proxy) | 0.717 ms | 1 - 2 MB | NPU |
| MobileNet-v3-Large | ONNX | float | Qualcomm® QCS9075 | 1.003 ms | 1 - 3 MB | NPU |
| MobileNet-v3-Large | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.398 ms | 0 - 34 MB | NPU |
| MobileNet-v3-Large | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.357 ms | 0 - 39 MB | NPU |
| MobileNet-v3-Large | ONNX | w8a16 | Snapdragon® X2 Elite | 0.314 ms | 6 - 6 MB | NPU |
| MobileNet-v3-Large | ONNX | w8a16 | Snapdragon® X Elite | 0.847 ms | 6 - 6 MB | NPU |
| MobileNet-v3-Large | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.47 ms | 0 - 58 MB | NPU |
| MobileNet-v3-Large | ONNX | w8a16 | Qualcomm® QCS6490 | 55.177 ms | 24 - 28 MB | CPU |
| MobileNet-v3-Large | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 0.681 ms | 0 - 9 MB | NPU |
| MobileNet-v3-Large | ONNX | w8a16 | Qualcomm® QCS9075 | 0.861 ms | 0 - 3 MB | NPU |
| MobileNet-v3-Large | ONNX | w8a16 | Qualcomm® QCM6690 | 20.303 ms | 25 - 33 MB | CPU |
| MobileNet-v3-Large | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.365 ms | 0 - 35 MB | NPU |
| MobileNet-v3-Large | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 14.391 ms | 25 - 34 MB | CPU |
| MobileNet-v3-Large | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.29 ms | 0 - 41 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | float | Snapdragon® X2 Elite | 0.56 ms | 1 - 1 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | float | Snapdragon® X Elite | 1.212 ms | 1 - 1 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.683 ms | 0 - 54 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 2.974 ms | 1 - 35 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 1.046 ms | 1 - 2 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | float | Qualcomm® SA8775P | 5.911 ms | 1 - 35 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | float | Qualcomm® QCS9075 | 1.23 ms | 3 - 5 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 1.905 ms | 0 - 58 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | float | Qualcomm® SA7255P | 2.974 ms | 1 - 35 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | float | Qualcomm® SA8295P | 1.844 ms | 0 - 34 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.525 ms | 0 - 35 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.441 ms | 1 - 40 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.513 ms | 0 - 0 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Snapdragon® X Elite | 1.122 ms | 0 - 0 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.661 ms | 0 - 48 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 2.782 ms | 2 - 4 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 2.088 ms | 0 - 32 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 0.934 ms | 0 - 2 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® SA8775P | 1.169 ms | 0 - 34 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 1.142 ms | 0 - 2 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 4.052 ms | 0 - 146 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 1.225 ms | 0 - 52 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® SA7255P | 2.088 ms | 0 - 32 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® SA8295P | 1.625 ms | 0 - 32 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.46 ms | 0 - 31 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 0.991 ms | 0 - 31 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.373 ms | 0 - 35 MB | NPU |
| MobileNet-v3-Large | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.711 ms | 0 - 66 MB | NPU |
| MobileNet-v3-Large | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 3.081 ms | 0 - 40 MB | NPU |
| MobileNet-v3-Large | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 1.066 ms | 0 - 88 MB | NPU |
| MobileNet-v3-Large | TFLITE | float | Qualcomm® SA8775P | 1.411 ms | 0 - 43 MB | NPU |
| MobileNet-v3-Large | TFLITE | float | Qualcomm® QCS9075 | 1.278 ms | 0 - 15 MB | NPU |
| MobileNet-v3-Large | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 1.937 ms | 0 - 65 MB | NPU |
| MobileNet-v3-Large | TFLITE | float | Qualcomm® SA7255P | 3.081 ms | 0 - 40 MB | NPU |
| MobileNet-v3-Large | TFLITE | float | Qualcomm® SA8295P | 1.887 ms | 0 - 40 MB | NPU |
| MobileNet-v3-Large | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.535 ms | 0 - 40 MB | NPU |
| MobileNet-v3-Large | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.446 ms | 0 - 45 MB | NPU |
License
- The license for the original implementation of MobileNet-v3-Large 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.
