v0.58.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.58.0 for changelog.
- README.md +86 -80
- release_assets.json +6 -6
README.md
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@@ -16,7 +16,7 @@ pipeline_tag: image-classification
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EfficientNetB0 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-B0 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 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.
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| ONNX | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.
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| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.
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| QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.
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| TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.
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For more device-specific assets and performance metrics, visit **[EfficientNet-B0 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/efficientnet_b0)**.
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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-B0 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.
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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-B0 | ONNX | float | Snapdragon® X2 Elite | 0.
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| EfficientNet-B0 | ONNX | float | Snapdragon® X Elite | 1.
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| EfficientNet-B0 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.894 ms | 0 -
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| EfficientNet-B0 | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 2.
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| EfficientNet-B0 | ONNX | float | Qualcomm® QCS8550 (Proxy) | 1.
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| EfficientNet-B0 | ONNX | float | Qualcomm® QCS8450 | 2.
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| EfficientNet-B0 | ONNX | float |
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| EfficientNet-B0 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.
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| EfficientNet-B0 | ONNX | float |
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| EfficientNet-B0 | ONNX | float | Qualcomm®
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| EfficientNet-B0 | ONNX | float | Qualcomm®
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| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® X2 Elite | 0.
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| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® X Elite | 1.477 ms |
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| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.
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| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 1.
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| EfficientNet-B0 | ONNX | w8a16 | Qualcomm® QCS6490 | 3.
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| EfficientNet-B0 | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 1.
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| EfficientNet-B0 | ONNX | w8a16 | Qualcomm® QCS8450 | 1.
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| EfficientNet-B0 | ONNX | w8a16 | Qualcomm®
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| EfficientNet-B0 | ONNX | w8a16 | Snapdragon®
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| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 0.
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| EfficientNet-B0 | ONNX | w8a16 |
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| EfficientNet-B0 | ONNX | w8a16 |
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| EfficientNet-B0 | ONNX | w8a16 | Qualcomm®
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| EfficientNet-B0 | ONNX | w8a16 | Qualcomm®
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| EfficientNet-B0 | ONNX | w8a16 | Qualcomm®
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| EfficientNet-B0 | QNN_DLC | float | Snapdragon® X2 Elite | 0.
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| EfficientNet-B0 | QNN_DLC | float | Snapdragon® X Elite | 1.
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| EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.
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| EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 3.
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| EfficientNet-B0 | QNN_DLC | float | Qualcomm® QCS8275 | 4.
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| EfficientNet-B0 | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 1.
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| EfficientNet-B0 | QNN_DLC | float | Qualcomm®
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| EfficientNet-B0 | QNN_DLC | float |
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| EfficientNet-B0 | QNN_DLC | float | Qualcomm®
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| EfficientNet-B0 | QNN_DLC | float |
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| EfficientNet-B0 | QNN_DLC | float | Qualcomm®
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| EfficientNet-B0 | QNN_DLC | float |
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| EfficientNet-B0 | QNN_DLC | float | Qualcomm®
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| EfficientNet-B0 | QNN_DLC | float |
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| EfficientNet-B0 | QNN_DLC |
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| EfficientNet-B0 | QNN_DLC |
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| EfficientNet-B0 | QNN_DLC |
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| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon®
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| EfficientNet-B0 | QNN_DLC | w8a16 |
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| EfficientNet-B0 | QNN_DLC | w8a16 |
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| EfficientNet-B0 | QNN_DLC | w8a16 |
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| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm®
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| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm®
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| EfficientNet-B0 | QNN_DLC | w8a16 |
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| EfficientNet-B0 | QNN_DLC | w8a16 |
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| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm®
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| EfficientNet-B0 | QNN_DLC | w8a16 |
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| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm®
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| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm®
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| EfficientNet-B0 | QNN_DLC | w8a16 |
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| EfficientNet-B0 | QNN_DLC | w8a16 |
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| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm®
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| EfficientNet-B0 |
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| EfficientNet-B0 |
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| EfficientNet-B0 |
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| EfficientNet-B0 |
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| EfficientNet-B0 |
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| EfficientNet-B0 |
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| EfficientNet-B0 | TFLITE | float |
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| EfficientNet-B0 | TFLITE | float |
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| EfficientNet-B0 | TFLITE | float |
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| EfficientNet-B0 | TFLITE | float | Qualcomm®
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| EfficientNet-B0 | TFLITE | float |
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| EfficientNet-B0 | TFLITE | float | Qualcomm®
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| EfficientNet-B0 | TFLITE | float | Qualcomm®
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| EfficientNet-B0 | TFLITE | float | Qualcomm®
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## License
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* The license for the original implementation of EfficientNet-B0 can be found
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EfficientNetB0 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-B0 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/v0.58.0/src/qai_hub_models/models/efficientnet_b0) 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 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.58.0/efficientnet_b0-onnx-float.zip)
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| ONNX | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.25.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.58.0/efficientnet_b0-onnx-w8a16.zip)
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| QNN_DLC | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.58.0/efficientnet_b0-qnn_dlc-float.zip)
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| QNN_DLC | w8a16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.58.0/efficientnet_b0-qnn_dlc-w8a16.zip)
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| TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.58.0/efficientnet_b0-tflite-float.zip)
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For more device-specific assets and performance metrics, visit **[EfficientNet-B0 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/efficientnet_b0)**.
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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/v0.58.0/src/qai_hub_models/models/efficientnet_b0) 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-B0 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.58.0/src/qai_hub_models/models/efficientnet_b0) 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-B0 | ONNX | float | Snapdragon® X2 Elite | 0.652 ms | 2 - 2 MB | NPU
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| EfficientNet-B0 | ONNX | float | Snapdragon® X Elite | 1.313 ms | 13 - 13 MB | NPU
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| EfficientNet-B0 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.894 ms | 0 - 67 MB | NPU
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| EfficientNet-B0 | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 2.869 ms | 1 - 77 MB | NPU
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| EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.245 ms | 1 - 3 MB | NPU
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| EfficientNet-B0 | ONNX | float | Qualcomm® QCS8450 | 2.869 ms | 1 - 77 MB | NPU
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| EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 1.62 ms | 1 - 3 MB | NPU
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| EfficientNet-B0 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.552 ms | 0 - 42 MB | NPU
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| EfficientNet-B0 | ONNX | float | Snapdragon® 8 Elite Mobile | 0.699 ms | 0 - 37 MB | NPU
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| EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.699 ms | 0 - 37 MB | NPU
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| EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.313 ms | 13 - 13 MB | NPU
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| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® X2 Elite | 0.565 ms | 1 - 1 MB | NPU
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| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® X Elite | 1.477 ms | 6 - 6 MB | NPU
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| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.947 ms | 0 - 83 MB | NPU
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| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 1.671 ms | 0 - 84 MB | NPU
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| EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 3.858 ms | 0 - 3 MB | NPU
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| EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.422 ms | 0 - 96 MB | NPU
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| EfficientNet-B0 | ONNX | w8a16 | Qualcomm® QCS8450 | 1.671 ms | 0 - 84 MB | NPU
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| EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 1.564 ms | 0 - 3 MB | NPU
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| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.454 ms | 0 - 59 MB | NPU
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| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.554 ms | 0 - 59 MB | NPU
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| EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 5.69 ms | 0 - 66 MB | NPU
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| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 0.67 ms | 0 - 63 MB | NPU
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| EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 1.454 ms | 0 - 59 MB | NPU
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| EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.67 ms | 0 - 63 MB | NPU
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| EfficientNet-B0 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.477 ms | 6 - 6 MB | NPU
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| EfficientNet-B0 | QNN_DLC | float | Snapdragon® X2 Elite | 0.85 ms | 1 - 1 MB | NPU
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| EfficientNet-B0 | QNN_DLC | float | Snapdragon® X Elite | 1.744 ms | 1 - 1 MB | NPU
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| EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.072 ms | 0 - 60 MB | NPU
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| EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 3.593 ms | 0 - 73 MB | NPU
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| EfficientNet-B0 | QNN_DLC | float | Qualcomm® QCS8275 | 4.909 ms | 1 - 37 MB | NPU
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| EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.559 ms | 1 - 30 MB | NPU
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| EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA8775P | 2.01 ms | 1 - 39 MB | NPU
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| EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA8650P | 2.01 ms | 1 - 39 MB | NPU
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| EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA8255P | 2.01 ms | 1 - 39 MB | NPU
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| EfficientNet-B0 | QNN_DLC | float | Qualcomm® QCS8450 | 3.593 ms | 0 - 73 MB | NPU
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| EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 1.868 ms | 1 - 3 MB | NPU
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| EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.612 ms | 1 - 42 MB | NPU
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| EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA7255P | 4.909 ms | 1 - 37 MB | NPU
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| EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 0.806 ms | 1 - 37 MB | NPU
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| EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA8295P | 3.619 ms | 1 - 44 MB | NPU
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| EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 0.806 ms | 1 - 37 MB | NPU
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| EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.744 ms | 1 - 1 MB | NPU
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| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.803 ms | 0 - 0 MB | NPU
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| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® X Elite | 1.859 ms | 0 - 0 MB | NPU
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| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.135 ms | 0 - 66 MB | NPU
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| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 1.946 ms | 0 - 71 MB | NPU
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| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 5.224 ms | 0 - 2 MB | NPU
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| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® QCS8275 | 3.294 ms | 0 - 47 MB | NPU
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| 115 |
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| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.671 ms | 0 - 82 MB | NPU
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| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA8775P | 1.939 ms | 0 - 50 MB | NPU
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| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA8650P | 1.939 ms | 0 - 50 MB | NPU
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| 118 |
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| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA8255P | 1.939 ms | 0 - 50 MB | NPU
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| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 1.946 ms | 0 - 71 MB | NPU
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| 120 |
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| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 1.781 ms | 0 - 2 MB | NPU
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| 121 |
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| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.693 ms | 0 - 48 MB | NPU
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| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.638 ms | 0 - 51 MB | NPU
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| 123 |
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| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 6.519 ms | 0 - 164 MB | NPU
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| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA7255P | 3.294 ms | 0 - 47 MB | NPU
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| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 0.772 ms | 0 - 47 MB | NPU
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| 126 |
+
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA8295P | 2.366 ms | 0 - 46 MB | NPU
|
| 127 |
+
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 1.693 ms | 0 - 48 MB | NPU
|
| 128 |
+
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 0.772 ms | 0 - 47 MB | NPU
|
| 129 |
+
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.859 ms | 0 - 0 MB | NPU
|
| 130 |
+
| EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.069 ms | 0 - 69 MB | NPU
|
| 131 |
+
| EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 3.6 ms | 0 - 76 MB | NPU
|
| 132 |
+
| EfficientNet-B0 | TFLITE | float | Qualcomm® QCS8275 | 4.956 ms | 0 - 41 MB | NPU
|
| 133 |
+
| EfficientNet-B0 | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.535 ms | 0 - 77 MB | NPU
|
| 134 |
+
| EfficientNet-B0 | TFLITE | float | Qualcomm® SA8775P | 2.04 ms | 0 - 45 MB | NPU
|
| 135 |
+
| EfficientNet-B0 | TFLITE | float | Qualcomm® SA8650P | 2.04 ms | 0 - 45 MB | NPU
|
| 136 |
+
| EfficientNet-B0 | TFLITE | float | Qualcomm® SA8255P | 2.04 ms | 0 - 45 MB | NPU
|
| 137 |
+
| EfficientNet-B0 | TFLITE | float | Qualcomm® QCS8450 | 3.6 ms | 0 - 76 MB | NPU
|
| 138 |
+
| EfficientNet-B0 | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 1.886 ms | 0 - 16 MB | NPU
|
| 139 |
+
| EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.613 ms | 0 - 42 MB | NPU
|
| 140 |
+
| EfficientNet-B0 | TFLITE | float | Qualcomm® SA7255P | 4.956 ms | 0 - 41 MB | NPU
|
| 141 |
+
| EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Elite Mobile | 0.815 ms | 0 - 40 MB | NPU
|
| 142 |
+
| EfficientNet-B0 | TFLITE | float | Qualcomm® SA8295P | 3.616 ms | 0 - 48 MB | NPU
|
| 143 |
+
| EfficientNet-B0 | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 0.815 ms | 0 - 40 MB | NPU
|
| 144 |
|
| 145 |
## License
|
| 146 |
* The license for the original implementation of EfficientNet-B0 can be found
|
release_assets.json
CHANGED
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| 1 |
{
|
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"version": "0.
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"precisions": {
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"float": {
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"universal_assets": {
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| 8 |
"qairt": "2.45.0.260326154327",
|
| 9 |
"litert": "1.4.4"
|
| 10 |
},
|
| 11 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.
|
| 12 |
},
|
| 13 |
"qnn_dlc": {
|
| 14 |
"tool_versions": {
|
| 15 |
"qairt": "2.45.0.260326154327"
|
| 16 |
},
|
| 17 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.
|
| 18 |
},
|
| 19 |
"onnx": {
|
| 20 |
"tool_versions": {
|
| 21 |
"qairt": "2.45.0.260326154327",
|
| 22 |
"onnx_runtime": "1.25.0"
|
| 23 |
},
|
| 24 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.
|
| 25 |
}
|
| 26 |
}
|
| 27 |
},
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|
@@ -31,14 +31,14 @@
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| 31 |
"tool_versions": {
|
| 32 |
"qairt": "2.45.0.260326154327"
|
| 33 |
},
|
| 34 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.
|
| 35 |
},
|
| 36 |
"onnx": {
|
| 37 |
"tool_versions": {
|
| 38 |
"qairt": "2.45.0.260326154327",
|
| 39 |
"onnx_runtime": "1.25.0"
|
| 40 |
},
|
| 41 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.
|
| 42 |
}
|
| 43 |
}
|
| 44 |
}
|
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| 1 |
{
|
| 2 |
+
"version": "0.58.0",
|
| 3 |
"precisions": {
|
| 4 |
"float": {
|
| 5 |
"universal_assets": {
|
|
|
|
| 8 |
"qairt": "2.45.0.260326154327",
|
| 9 |
"litert": "1.4.4"
|
| 10 |
},
|
| 11 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.58.0/efficientnet_b0-tflite-float.zip"
|
| 12 |
},
|
| 13 |
"qnn_dlc": {
|
| 14 |
"tool_versions": {
|
| 15 |
"qairt": "2.45.0.260326154327"
|
| 16 |
},
|
| 17 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.58.0/efficientnet_b0-qnn_dlc-float.zip"
|
| 18 |
},
|
| 19 |
"onnx": {
|
| 20 |
"tool_versions": {
|
| 21 |
"qairt": "2.45.0.260326154327",
|
| 22 |
"onnx_runtime": "1.25.0"
|
| 23 |
},
|
| 24 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.58.0/efficientnet_b0-onnx-float.zip"
|
| 25 |
}
|
| 26 |
}
|
| 27 |
},
|
|
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|
| 31 |
"tool_versions": {
|
| 32 |
"qairt": "2.45.0.260326154327"
|
| 33 |
},
|
| 34 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.58.0/efficientnet_b0-qnn_dlc-w8a16.zip"
|
| 35 |
},
|
| 36 |
"onnx": {
|
| 37 |
"tool_versions": {
|
| 38 |
"qairt": "2.45.0.260326154327",
|
| 39 |
"onnx_runtime": "1.25.0"
|
| 40 |
},
|
| 41 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.58.0/efficientnet_b0-onnx-w8a16.zip"
|
| 42 |
}
|
| 43 |
}
|
| 44 |
}
|