v0.64.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.64.0 for changelog.
- README.md +84 -82
- release_assets.json +8 -8
README.md
CHANGED
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@@ -16,7 +16,7 @@ pipeline_tag: image-classification
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EfficientNetB4 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.
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This is based on the implementation of EfficientNet-B4 found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/efficientnet.py).
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This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.
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Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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|---|---|---|---|---|
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| ONNX | float | Universal | QAIRT 2.50, ONNX Runtime 1.
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| ONNX | w8a16 | Universal | QAIRT 2.50, ONNX Runtime 1.
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| QNN_DLC | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.
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| QNN_DLC | w8a16 | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.
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| TFLITE | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.
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For more device-specific assets and performance metrics, visit **[EfficientNet-B4 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/efficientnet_b4)**.
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### Option 2: Export with Custom Configurations
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Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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This option is ideal if you need to customize the model beyond the default configuration provided here.
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See our repository for [EfficientNet-B4 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.
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## Model Details
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@@ -63,81 +63,83 @@ See our repository for [EfficientNet-B4 on GitHub](https://github.com/qualcomm/a
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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|---|---|---|---|---|---|---
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| EfficientNet-B4 | ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 3.
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| EfficientNet-B4 | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 4.
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| EfficientNet-B4 | ONNX | float | Snapdragon® X2 Elite | 4.
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| EfficientNet-B4 | ONNX | float | Snapdragon® X Elite | 7.
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| EfficientNet-B4 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 5.
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| EfficientNet-B4 | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 17.
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| EfficientNet-B4 | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 9.
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| EfficientNet-B4 | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 7.
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| EfficientNet-B4 | ONNX | float | Qualcomm® QCS8450 | 17.
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| EfficientNet-B4 | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 9.
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| EfficientNet-B4 | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 7.
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| EfficientNet-B4 | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 4.
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| EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 2.
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| EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 3.
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| EfficientNet-B4 | ONNX | w8a16 | Snapdragon® X2 Elite | 2.
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| EfficientNet-B4 | ONNX | w8a16 | Snapdragon® X Elite | 8.
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| EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 5.
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| EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 8.
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| EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 25.
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| EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 6.
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| EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 7.
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| EfficientNet-B4 | ONNX | w8a16 | Qualcomm® QCS8450 | 8.
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| EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 8.
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| EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 8.
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| EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 43.
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| EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 8.
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| EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 3.
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| EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 8.
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| EfficientNet-B4 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 3.
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| EfficientNet-B4 | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 4.
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| EfficientNet-B4 | QNN_DLC | float | Snapdragon® X2 Elite | 4.
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| EfficientNet-B4 | QNN_DLC | float | Snapdragon® X Elite | 8.
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| EfficientNet-B4 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 5.
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| EfficientNet-B4 | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 19.
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| EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 10.
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| EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 8.
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| EfficientNet-B4 | QNN_DLC | float | Qualcomm® SA8775P | 10.
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| EfficientNet-B4 | QNN_DLC | float | Qualcomm® SA8650P | 10.
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| EfficientNet-B4 | QNN_DLC | float | Qualcomm® SA8255P | 10.
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| EfficientNet-B4 | QNN_DLC | float | Qualcomm® QCS8450 | 19.
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| EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 10.
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| EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 8.
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| EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 4.
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| EfficientNet-B4 | QNN_DLC | float | Qualcomm® SA8295P | 18.
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| EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 3.
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| EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 3.
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| EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 3.
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| EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® X Elite | 9.
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| EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 5.
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| EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 10.
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| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 27.
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| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 7.
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| 118 |
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| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 8.
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| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® SA8775P | 8.
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| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® SA8650P | 8.
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| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® SA8255P | 8.
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| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 10.
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| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 8.
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| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 9.
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| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 |
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| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 9.
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| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 3.
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| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm®
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| EfficientNet-B4 | QNN_DLC | w8a16 |
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| EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 9.7 ms | 1 - 265 MB | NPU
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| EfficientNet-B4 | TFLITE | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 3.23 ms | 0 - 99 MB | NPU
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| EfficientNet-B4 | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 4.
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| EfficientNet-B4 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 5.
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| EfficientNet-B4 | TFLITE | float | Snapdragon® 8 Gen 1 Mobile |
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| EfficientNet-B4 | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 10.
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| EfficientNet-B4 | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 8.
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| EfficientNet-B4 | TFLITE | float | Qualcomm®
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| EfficientNet-B4 | TFLITE | float | Qualcomm®
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| EfficientNet-B4 | TFLITE | float | Qualcomm®
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| EfficientNet-B4 | TFLITE | float | Qualcomm®
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## License
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* The license for the original implementation of EfficientNet-B4 can be found
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EfficientNetB4 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.
|
| 17 |
|
| 18 |
This is based on the implementation of EfficientNet-B4 found [here](https://github.com/pytorch/vision/blob/main/torchvision/models/efficientnet.py).
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+
This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.64.0/src/qai_hub_models/models/efficientnet_b4) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
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Qualcomm AI Hub Models uses [Qualcomm AI Hub Workbench](https://workbench.aihub.qualcomm.com) to compile, profile, and evaluate this model. [Sign up](https://myaccount.qualcomm.com/signup) to run these models on a hosted Qualcomm® device.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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|---|---|---|---|---|
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| ONNX | float | Universal | QAIRT 2.50, ONNX Runtime 1.30.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.64.0/efficientnet_b4-onnx-float.zip)
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| ONNX | w8a16 | Universal | QAIRT 2.50, ONNX Runtime 1.30.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.64.0/efficientnet_b4-onnx-w8a16.zip)
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| QNN_DLC | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.64.0/efficientnet_b4-qnn_dlc-float.zip)
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| QNN_DLC | w8a16 | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.64.0/efficientnet_b4-qnn_dlc-w8a16.zip)
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| TFLITE | float | Universal | QAIRT 2.50 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.64.0/efficientnet_b4-tflite-float.zip)
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For more device-specific assets and performance metrics, visit **[EfficientNet-B4 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/efficientnet_b4)**.
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### Option 2: Export with Custom Configurations
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Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.64.0/src/qai_hub_models/models/efficientnet_b4) Python library to compile and export the model with your own:
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- Custom weights (e.g., fine-tuned checkpoints)
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- Custom input shapes
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- Target device and runtime configurations
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This option is ideal if you need to customize the model beyond the default configuration provided here.
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+
See our repository for [EfficientNet-B4 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.64.0/src/qai_hub_models/models/efficientnet_b4) for usage instructions.
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## Model Details
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## Performance Summary
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| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
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|---|---|---|---|---|---|---
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| EfficientNet-B4 | ONNX | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 3.231 ms | 0 - 200 MB | NPU
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| EfficientNet-B4 | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 4.073 ms | 1 - 90 MB | NPU
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| EfficientNet-B4 | ONNX | float | Snapdragon® X2 Elite | 4.07 ms | 2 - 2 MB | NPU
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| EfficientNet-B4 | ONNX | float | Snapdragon® X Elite | 7.637 ms | 44 - 44 MB | NPU
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| EfficientNet-B4 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 5.288 ms | 0 - 147 MB | NPU
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| EfficientNet-B4 | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 17.175 ms | 2 - 190 MB | NPU
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| EfficientNet-B4 | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 9.559 ms | 2 - 7 MB | NPU
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| EfficientNet-B4 | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 7.256 ms | 0 - 207 MB | NPU
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| EfficientNet-B4 | ONNX | float | Qualcomm® QCS8450 | 17.175 ms | 2 - 190 MB | NPU
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| EfficientNet-B4 | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 9.33 ms | 1 - 6 MB | NPU
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| EfficientNet-B4 | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 7.637 ms | 44 - 44 MB | NPU
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| EfficientNet-B4 | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 4.073 ms | 1 - 90 MB | NPU
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| EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 2.762 ms | 0 - 174 MB | NPU
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| EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 3.485 ms | 0 - 166 MB | NPU
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| EfficientNet-B4 | ONNX | w8a16 | Snapdragon® X2 Elite | 2.913 ms | 2 - 2 MB | NPU
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| EfficientNet-B4 | ONNX | w8a16 | Snapdragon® X Elite | 8.141 ms | 23 - 23 MB | NPU
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| EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 5.112 ms | 1 - 224 MB | NPU
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| EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 8.685 ms | 0 - 228 MB | NPU
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| EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 25.198 ms | 0 - 4 MB | NPU
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| EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 6.969 ms | 1 - 5 MB | NPU
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| EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 7.741 ms | 0 - 30 MB | NPU
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| EfficientNet-B4 | ONNX | w8a16 | Qualcomm® QCS8450 | 8.685 ms | 0 - 228 MB | NPU
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| EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 8.057 ms | 1 - 4 MB | NPU
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| EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 8.141 ms | 23 - 23 MB | NPU
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| EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 43.701 ms | 0 - 288 MB | NPU
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| EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 8.97 ms | 1 - 280 MB | NPU
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| 92 |
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| EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 3.485 ms | 0 - 166 MB | NPU
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| EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 8.97 ms | 1 - 280 MB | NPU
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| EfficientNet-B4 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 3.231 ms | 2 - 202 MB | NPU
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| EfficientNet-B4 | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 4.309 ms | 2 - 85 MB | NPU
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| EfficientNet-B4 | QNN_DLC | float | Snapdragon® X2 Elite | 4.43 ms | 2 - 2 MB | NPU
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| EfficientNet-B4 | QNN_DLC | float | Snapdragon® X Elite | 8.804 ms | 2 - 2 MB | NPU
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| EfficientNet-B4 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 5.823 ms | 0 - 141 MB | NPU
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| EfficientNet-B4 | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 19.968 ms | 0 - 183 MB | NPU
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| 100 |
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| EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 10.033 ms | 2 - 6 MB | NPU
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| 101 |
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| EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 8.059 ms | 2 - 104 MB | NPU
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| 102 |
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| EfficientNet-B4 | QNN_DLC | float | Qualcomm® SA8775P | 10.279 ms | 2 - 84 MB | NPU
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| 103 |
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| EfficientNet-B4 | QNN_DLC | float | Qualcomm® SA8650P | 10.279 ms | 2 - 84 MB | NPU
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| 104 |
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| EfficientNet-B4 | QNN_DLC | float | Qualcomm® SA8255P | 10.279 ms | 2 - 84 MB | NPU
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| EfficientNet-B4 | QNN_DLC | float | Qualcomm® QCS8450 | 19.968 ms | 0 - 183 MB | NPU
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| 106 |
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| EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 10.04 ms | 4 - 7 MB | NPU
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| 107 |
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| EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 8.804 ms | 2 - 2 MB | NPU
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| 108 |
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| EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 4.309 ms | 2 - 85 MB | NPU
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| 109 |
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| EfficientNet-B4 | QNN_DLC | float | Qualcomm® SA8295P | 18.639 ms | 2 - 123 MB | NPU
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| 110 |
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| EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 3.042 ms | 1 - 160 MB | NPU
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| 111 |
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| EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 3.762 ms | 0 - 150 MB | NPU
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| 112 |
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| EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 3.52 ms | 1 - 1 MB | NPU
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| 113 |
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| EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® X Elite | 9.143 ms | 1 - 1 MB | NPU
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| 114 |
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| EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 5.665 ms | 1 - 201 MB | NPU
|
| 115 |
+
| EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 10.357 ms | 1 - 205 MB | NPU
|
| 116 |
+
| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 27.297 ms | 1 - 4 MB | NPU
|
| 117 |
+
| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 7.611 ms | 1 - 5 MB | NPU
|
| 118 |
+
| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 8.451 ms | 1 - 2 MB | NPU
|
| 119 |
+
| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® SA8775P | 8.971 ms | 1 - 147 MB | NPU
|
| 120 |
+
| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® SA8650P | 8.971 ms | 1 - 147 MB | NPU
|
| 121 |
+
| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® SA8255P | 8.971 ms | 1 - 147 MB | NPU
|
| 122 |
+
| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 10.357 ms | 1 - 205 MB | NPU
|
| 123 |
+
| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 8.751 ms | 3 - 6 MB | NPU
|
| 124 |
+
| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 9.143 ms | 1 - 1 MB | NPU
|
| 125 |
+
| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 45.674 ms | 1 - 271 MB | NPU
|
| 126 |
+
| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 9.551 ms | 1 - 265 MB | NPU
|
| 127 |
+
| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 3.762 ms | 0 - 150 MB | NPU
|
| 128 |
+
| EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® SA8295P | 10.839 ms | 1 - 146 MB | NPU
|
| 129 |
+
| EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 9.551 ms | 1 - 265 MB | NPU
|
|
|
|
| 130 |
| EfficientNet-B4 | TFLITE | float | Snapdragon® 8 Elite Gen 5 For Galaxy Mobile | 3.23 ms | 0 - 99 MB | NPU
|
| 131 |
+
| EfficientNet-B4 | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 4.31 ms | 0 - 104 MB | NPU
|
| 132 |
+
| EfficientNet-B4 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 5.774 ms | 0 - 163 MB | NPU
|
| 133 |
+
| EfficientNet-B4 | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 19.923 ms | 0 - 205 MB | NPU
|
| 134 |
+
| EfficientNet-B4 | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 10.01 ms | 0 - 50 MB | NPU
|
| 135 |
+
| EfficientNet-B4 | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 8.044 ms | 0 - 51 MB | NPU
|
| 136 |
+
| EfficientNet-B4 | TFLITE | float | Qualcomm® SA8775P | 10.202 ms | 0 - 101 MB | NPU
|
| 137 |
+
| EfficientNet-B4 | TFLITE | float | Qualcomm® SA8650P | 10.202 ms | 0 - 101 MB | NPU
|
| 138 |
+
| EfficientNet-B4 | TFLITE | float | Qualcomm® SA8255P | 10.202 ms | 0 - 101 MB | NPU
|
| 139 |
+
| EfficientNet-B4 | TFLITE | float | Qualcomm® QCS8450 | 19.923 ms | 0 - 205 MB | NPU
|
| 140 |
+
| EfficientNet-B4 | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 9.951 ms | 0 - 50 MB | NPU
|
| 141 |
+
| EfficientNet-B4 | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 4.31 ms | 0 - 104 MB | NPU
|
| 142 |
+
| EfficientNet-B4 | TFLITE | float | Qualcomm® SA8295P | 18.591 ms | 0 - 139 MB | NPU
|
| 143 |
|
| 144 |
## License
|
| 145 |
* The license for the original implementation of EfficientNet-B4 can be found
|
release_assets.json
CHANGED
|
@@ -1,26 +1,26 @@
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|
| 1 |
{
|
| 2 |
-
"version": "0.
|
| 3 |
"precisions": {
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"float": {
|
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"universal_assets": {
|
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"onnx": {
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| 7 |
"tool_versions": {
|
| 8 |
"qairt": "2.50.0.260828221209",
|
| 9 |
-
"onnx_runtime": "1.
|
| 10 |
},
|
| 11 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.
|
| 12 |
},
|
| 13 |
"qnn_dlc": {
|
| 14 |
"tool_versions": {
|
| 15 |
"qairt": "2.50.0.260828221209"
|
| 16 |
},
|
| 17 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.
|
| 18 |
},
|
| 19 |
"tflite": {
|
| 20 |
"tool_versions": {
|
| 21 |
"qairt": "2.50.0.260828221209"
|
| 22 |
},
|
| 23 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.
|
| 24 |
}
|
| 25 |
}
|
| 26 |
},
|
|
@@ -29,15 +29,15 @@
|
|
| 29 |
"onnx": {
|
| 30 |
"tool_versions": {
|
| 31 |
"qairt": "2.50.0.260828221209",
|
| 32 |
-
"onnx_runtime": "1.
|
| 33 |
},
|
| 34 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.
|
| 35 |
},
|
| 36 |
"qnn_dlc": {
|
| 37 |
"tool_versions": {
|
| 38 |
"qairt": "2.50.0.260828221209"
|
| 39 |
},
|
| 40 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.
|
| 41 |
}
|
| 42 |
}
|
| 43 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"version": "0.64.0",
|
| 3 |
"precisions": {
|
| 4 |
"float": {
|
| 5 |
"universal_assets": {
|
| 6 |
"onnx": {
|
| 7 |
"tool_versions": {
|
| 8 |
"qairt": "2.50.0.260828221209",
|
| 9 |
+
"onnx_runtime": "1.30.0"
|
| 10 |
},
|
| 11 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.64.0/efficientnet_b4-onnx-float.zip"
|
| 12 |
},
|
| 13 |
"qnn_dlc": {
|
| 14 |
"tool_versions": {
|
| 15 |
"qairt": "2.50.0.260828221209"
|
| 16 |
},
|
| 17 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.64.0/efficientnet_b4-qnn_dlc-float.zip"
|
| 18 |
},
|
| 19 |
"tflite": {
|
| 20 |
"tool_versions": {
|
| 21 |
"qairt": "2.50.0.260828221209"
|
| 22 |
},
|
| 23 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.64.0/efficientnet_b4-tflite-float.zip"
|
| 24 |
}
|
| 25 |
}
|
| 26 |
},
|
|
|
|
| 29 |
"onnx": {
|
| 30 |
"tool_versions": {
|
| 31 |
"qairt": "2.50.0.260828221209",
|
| 32 |
+
"onnx_runtime": "1.30.0"
|
| 33 |
},
|
| 34 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.64.0/efficientnet_b4-onnx-w8a16.zip"
|
| 35 |
},
|
| 36 |
"qnn_dlc": {
|
| 37 |
"tool_versions": {
|
| 38 |
"qairt": "2.50.0.260828221209"
|
| 39 |
},
|
| 40 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b4/releases/v0.64.0/efficientnet_b4-qnn_dlc-w8a16.zip"
|
| 41 |
}
|
| 42 |
}
|
| 43 |
}
|