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 1.24.3 | Download |
| ONNX | w8a16 | Universal | QAIRT 2.42, ONNX Runtime 1.24.3 | 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-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® 8 Elite Gen 5 Mobile | 0.358 ms | 0 - 38 MB | NPU |
| MobileNet-v3-Large | ONNX | float | Snapdragon® X2 Elite | 0.337 ms | 13 - 13 MB | NPU |
| MobileNet-v3-Large | ONNX | float | Snapdragon® X Elite | 0.855 ms | 12 - 12 MB | NPU |
| MobileNet-v3-Large | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.496 ms | 0 - 53 MB | NPU |
| MobileNet-v3-Large | ONNX | float | Qualcomm® QCS8550 (Proxy) | 0.71 ms | 0 - 2 MB | NPU |
| MobileNet-v3-Large | ONNX | float | Qualcomm® QCS9075 | 1.01 ms | 1 - 3 MB | NPU |
| MobileNet-v3-Large | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.399 ms | 0 - 36 MB | NPU |
| MobileNet-v3-Large | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.291 ms | 0 - 42 MB | NPU |
| MobileNet-v3-Large | ONNX | w8a16 | Snapdragon® X2 Elite | 0.317 ms | 6 - 6 MB | NPU |
| MobileNet-v3-Large | ONNX | w8a16 | Snapdragon® X Elite | 0.834 ms | 6 - 6 MB | NPU |
| MobileNet-v3-Large | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.471 ms | 0 - 57 MB | NPU |
| MobileNet-v3-Large | ONNX | w8a16 | Qualcomm® QCS6490 | 56.051 ms | 24 - 28 MB | CPU |
| MobileNet-v3-Large | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 0.682 ms | 0 - 10 MB | NPU |
| MobileNet-v3-Large | ONNX | w8a16 | Qualcomm® QCS9075 | 0.862 ms | 0 - 3 MB | NPU |
| MobileNet-v3-Large | ONNX | w8a16 | Qualcomm® QCM6690 | 20.185 ms | 24 - 33 MB | CPU |
| MobileNet-v3-Large | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.369 ms | 0 - 34 MB | NPU |
| MobileNet-v3-Large | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 14.287 ms | 24 - 33 MB | CPU |
| MobileNet-v3-Large | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.427 ms | 1 - 36 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | float | Snapdragon® X2 Elite | 0.542 ms | 1 - 1 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | float | Snapdragon® X Elite | 1.181 ms | 1 - 1 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.685 ms | 0 - 51 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 2.891 ms | 0 - 30 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 1.03 ms | 0 - 7 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | float | Qualcomm® SA8775P | 1.355 ms | 1 - 34 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | float | Qualcomm® QCS9075 | 1.222 ms | 3 - 5 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 1.909 ms | 0 - 55 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | float | Qualcomm® SA7255P | 2.891 ms | 0 - 30 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | float | Qualcomm® SA8295P | 1.834 ms | 0 - 31 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.517 ms | 0 - 30 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.363 ms | 0 - 36 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.51 ms | 0 - 0 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Snapdragon® X Elite | 1.107 ms | 0 - 0 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.663 ms | 0 - 48 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 2.74 ms | 0 - 2 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 2.035 ms | 0 - 33 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 0.925 ms | 0 - 3 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® SA8775P | 1.151 ms | 0 - 35 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 1.131 ms | 0 - 2 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 3.977 ms | 0 - 147 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 1.22 ms | 0 - 51 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® SA7255P | 2.035 ms | 0 - 33 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Qualcomm® SA8295P | 1.57 ms | 0 - 32 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.461 ms | 0 - 36 MB | NPU |
| MobileNet-v3-Large | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 0.98 ms | 0 - 33 MB | NPU |
| MobileNet-v3-Large | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.433 ms | 0 - 40 MB | NPU |
| MobileNet-v3-Large | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.698 ms | 0 - 56 MB | NPU |
| MobileNet-v3-Large | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 3.074 ms | 0 - 35 MB | NPU |
| MobileNet-v3-Large | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 1.038 ms | 0 - 5 MB | NPU |
| MobileNet-v3-Large | TFLITE | float | Qualcomm® SA8775P | 1.412 ms | 0 - 37 MB | NPU |
| MobileNet-v3-Large | TFLITE | float | Qualcomm® QCS9075 | 1.274 ms | 0 - 15 MB | NPU |
| MobileNet-v3-Large | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 1.929 ms | 0 - 59 MB | NPU |
| MobileNet-v3-Large | TFLITE | float | Qualcomm® SA7255P | 3.074 ms | 0 - 35 MB | NPU |
| MobileNet-v3-Large | TFLITE | float | Qualcomm® SA8295P | 1.874 ms | 0 - 36 MB | NPU |
| MobileNet-v3-Large | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.529 ms | 0 - 35 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.
