Inception-v3: Optimized for Qualcomm Devices
InceptionNetV3 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 Inception-v3 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 | w8a8 | Universal | QAIRT 2.42, ONNX Runtime 1.24.3 | Download |
| QNN_DLC | float | Universal | QAIRT 2.43 | Download |
| QNN_DLC | w8a8 | Universal | QAIRT 2.43 | Download |
| TFLITE | float | Universal | QAIRT 2.43, TFLite 2.19.1 | Download |
| TFLITE | w8a8 | Universal | QAIRT 2.43, TFLite 2.19.1 | Download |
For more device-specific assets and performance metrics, visit Inception-v3 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 Inception-v3 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: 23.9M
- Model size (float): 90.9 MB
- Model size (w8a8): 23.3 MB
Performance Summary
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit |
|---|---|---|---|---|---|---|
| Inception-v3 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.804 ms | 1 - 39 MB | NPU |
| Inception-v3 | ONNX | float | Snapdragon® X2 Elite | 0.721 ms | 46 - 46 MB | NPU |
| Inception-v3 | ONNX | float | Snapdragon® X Elite | 1.52 ms | 46 - 46 MB | NPU |
| Inception-v3 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.054 ms | 0 - 56 MB | NPU |
| Inception-v3 | ONNX | float | Qualcomm® QCS8550 (Proxy) | 1.49 ms | 0 - 50 MB | NPU |
| Inception-v3 | ONNX | float | Qualcomm® QCS9075 | 2.174 ms | 0 - 4 MB | NPU |
| Inception-v3 | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.928 ms | 0 - 40 MB | NPU |
| Inception-v3 | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.409 ms | 0 - 57 MB | NPU |
| Inception-v3 | ONNX | w8a8 | Snapdragon® X2 Elite | 0.288 ms | 23 - 23 MB | NPU |
| Inception-v3 | ONNX | w8a8 | Snapdragon® X Elite | 0.735 ms | 23 - 23 MB | NPU |
| Inception-v3 | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.51 ms | 0 - 92 MB | NPU |
| Inception-v3 | ONNX | w8a8 | Qualcomm® QCS6490 | 24.97 ms | 10 - 38 MB | CPU |
| Inception-v3 | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.662 ms | 0 - 74 MB | NPU |
| Inception-v3 | ONNX | w8a8 | Qualcomm® QCS9075 | 0.738 ms | 0 - 3 MB | NPU |
| Inception-v3 | ONNX | w8a8 | Qualcomm® QCM6690 | 17.925 ms | 12 - 21 MB | CPU |
| Inception-v3 | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.445 ms | 0 - 57 MB | NPU |
| Inception-v3 | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 14.322 ms | 17 - 26 MB | CPU |
| Inception-v3 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.76 ms | 1 - 37 MB | NPU |
| Inception-v3 | QNN_DLC | float | Snapdragon® X2 Elite | 0.77 ms | 1 - 1 MB | NPU |
| Inception-v3 | QNN_DLC | float | Snapdragon® X Elite | 1.412 ms | 1 - 1 MB | NPU |
| Inception-v3 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.021 ms | 16 - 74 MB | NPU |
| Inception-v3 | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 7.848 ms | 1 - 33 MB | NPU |
| Inception-v3 | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 1.372 ms | 1 - 2 MB | NPU |
| Inception-v3 | QNN_DLC | float | Qualcomm® SA8775P | 2.239 ms | 0 - 35 MB | NPU |
| Inception-v3 | QNN_DLC | float | Qualcomm® QCS9075 | 2.053 ms | 1 - 3 MB | NPU |
| Inception-v3 | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 2.342 ms | 0 - 56 MB | NPU |
| Inception-v3 | QNN_DLC | float | Qualcomm® SA7255P | 7.848 ms | 1 - 33 MB | NPU |
| Inception-v3 | QNN_DLC | float | Qualcomm® SA8295P | 2.684 ms | 0 - 31 MB | NPU |
| Inception-v3 | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.876 ms | 1 - 35 MB | NPU |
| Inception-v3 | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.36 ms | 0 - 51 MB | NPU |
| Inception-v3 | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.361 ms | 0 - 0 MB | NPU |
| Inception-v3 | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.677 ms | 0 - 0 MB | NPU |
| Inception-v3 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.464 ms | 0 - 73 MB | NPU |
| Inception-v3 | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 2.301 ms | 2 - 4 MB | NPU |
| Inception-v3 | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.612 ms | 0 - 2 MB | NPU |
| Inception-v3 | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.777 ms | 0 - 51 MB | NPU |
| Inception-v3 | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 0.626 ms | 2 - 4 MB | NPU |
| Inception-v3 | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 5.678 ms | 0 - 51 MB | NPU |
| Inception-v3 | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.892 ms | 0 - 73 MB | NPU |
| Inception-v3 | QNN_DLC | w8a8 | Qualcomm® SA8295P | 1.156 ms | 0 - 45 MB | NPU |
| Inception-v3 | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.417 ms | 0 - 51 MB | NPU |
| Inception-v3 | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.971 ms | 0 - 50 MB | NPU |
| Inception-v3 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.76 ms | 0 - 75 MB | NPU |
| Inception-v3 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.025 ms | 0 - 126 MB | NPU |
| Inception-v3 | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 7.869 ms | 0 - 73 MB | NPU |
| Inception-v3 | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 1.367 ms | 0 - 51 MB | NPU |
| Inception-v3 | TFLITE | float | Qualcomm® SA8775P | 2.288 ms | 0 - 75 MB | NPU |
| Inception-v3 | TFLITE | float | Qualcomm® QCS9075 | 2.058 ms | 0 - 48 MB | NPU |
| Inception-v3 | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 2.342 ms | 0 - 124 MB | NPU |
| Inception-v3 | TFLITE | float | Qualcomm® SA7255P | 7.869 ms | 0 - 73 MB | NPU |
| Inception-v3 | TFLITE | float | Qualcomm® SA8295P | 2.697 ms | 0 - 70 MB | NPU |
| Inception-v3 | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.873 ms | 0 - 74 MB | NPU |
| Inception-v3 | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.381 ms | 0 - 52 MB | NPU |
| Inception-v3 | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.481 ms | 0 - 77 MB | NPU |
| Inception-v3 | TFLITE | w8a8 | Qualcomm® QCS6490 | 2.342 ms | 0 - 25 MB | NPU |
| Inception-v3 | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 1.633 ms | 0 - 48 MB | NPU |
| Inception-v3 | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.658 ms | 0 - 7 MB | NPU |
| Inception-v3 | TFLITE | w8a8 | Qualcomm® SA8775P | 0.887 ms | 0 - 52 MB | NPU |
| Inception-v3 | TFLITE | w8a8 | Qualcomm® QCS9075 | 0.707 ms | 0 - 25 MB | NPU |
| Inception-v3 | TFLITE | w8a8 | Qualcomm® QCM6690 | 5.823 ms | 0 - 52 MB | NPU |
| Inception-v3 | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.946 ms | 0 - 79 MB | NPU |
| Inception-v3 | TFLITE | w8a8 | Qualcomm® SA7255P | 1.633 ms | 0 - 48 MB | NPU |
| Inception-v3 | TFLITE | w8a8 | Qualcomm® SA8295P | 1.253 ms | 0 - 47 MB | NPU |
| Inception-v3 | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.414 ms | 0 - 52 MB | NPU |
| Inception-v3 | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 1.011 ms | 0 - 51 MB | NPU |
License
- The license for the original implementation of Inception-v3 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.
