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See https://github.com/qualcomm/ai-hub-models/releases/v0.58.0 for changelog.

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  1. README.md +86 -80
  2. release_assets.json +6 -6
README.md CHANGED
@@ -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/v0.57.3/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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21
  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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@@ -29,25 +29,25 @@ Below are pre-exported model assets ready for deployment.
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  | Runtime | Precision | Chipset | SDK Versions | Download |
31
  |---|---|---|---|---|
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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_b4/releases/v0.57.3/efficientnet_b4-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_b4/releases/v0.57.3/efficientnet_b4-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_b4/releases/v0.57.3/efficientnet_b4-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_b4/releases/v0.57.3/efficientnet_b4-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_b4/releases/v0.57.3/efficientnet_b4-tflite-float.zip)
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38
  For more device-specific assets and performance metrics, visit **[EfficientNet-B4 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/efficientnet_b4)**.
39
 
40
 
41
  ### Option 2: Export with Custom Configurations
42
 
43
- Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.57.3/src/qai_hub_models/models/efficientnet_b4) Python library to compile and export the model with your own:
44
  - Custom weights (e.g., fine-tuned checkpoints)
45
  - Custom input shapes
46
  - Target device and runtime configurations
47
 
48
  This option is ideal if you need to customize the model beyond the default configuration provided here.
49
 
50
- See our repository for [EfficientNet-B4 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.57.3/src/qai_hub_models/models/efficientnet_b4) for usage instructions.
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  ## Model Details
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@@ -63,78 +63,84 @@ 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® X2 Elite | 3.918 ms | 211 - 211 MB | NPU
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- | EfficientNet-B4 | ONNX | float | Snapdragon® X Elite | 7.717 ms | 177 - 177 MB | NPU
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- | EfficientNet-B4 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 5.32 ms | 2 - 139 MB | NPU
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- | EfficientNet-B4 | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 20.414 ms | 2 - 179 MB | NPU
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- | EfficientNet-B4 | ONNX | float | Qualcomm® QCS8550 (Proxy) | 7.34 ms | 0 - 51 MB | NPU
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- | EfficientNet-B4 | ONNX | float | Qualcomm® QCS8450 | 20.414 ms | 2 - 179 MB | NPU
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- | EfficientNet-B4 | ONNX | float | Snapdragon® 8 Elite Mobile | 4.042 ms | 0 - 89 MB | NPU
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- | EfficientNet-B4 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.009 ms | 2 - 203 MB | NPU
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- | EfficientNet-B4 | ONNX | float | Qualcomm® QCS9075 | 10.449 ms | 2 - 47 MB | NPU
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- | EfficientNet-B4 | ONNX | float | Qualcomm® QCS8750 | 4.042 ms | 0 - 89 MB | NPU
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- | EfficientNet-B4 | ONNX | float | Qualcomm® QCS7181 | 7.717 ms | 177 - 177 MB | NPU
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- | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® X2 Elite | 2.953 ms | 212 - 212 MB | NPU
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- | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® X Elite | 8.045 ms | 148 - 148 MB | NPU
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- | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 5.128 ms | 1 - 213 MB | NPU
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- | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 8.878 ms | 1 - 218 MB | NPU
81
- | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® QCS6490 | 26.085 ms | 1 - 46 MB | NPU
82
- | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 7.661 ms | 0 - 32 MB | NPU
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- | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® QCS8450 | 8.878 ms | 1 - 218 MB | NPU
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- | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® QCS9075 | 8.335 ms | 1 - 46 MB | NPU
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- | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 2.771 ms | 1 - 173 MB | NPU
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- | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 3.47 ms | 0 - 167 MB | NPU
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- | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 8.941 ms | 1 - 286 MB | NPU
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- | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® QCM6690 | 53.977 ms | 1 - 294 MB | NPU
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- | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® QCS7790 | 8.941 ms | 1 - 286 MB | NPU
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- | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® QCS8750 | 3.47 ms | 0 - 167 MB | NPU
91
- | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® QCS7181 | 8.045 ms | 148 - 148 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | float | Snapdragon® X2 Elite | 4.597 ms | 2 - 2 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | float | Snapdragon® X Elite | 8.817 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 | 23.067 ms | 1 - 185 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | float | Qualcomm® QCS8275 | 29.129 ms | 2 - 81 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 8.157 ms | 2 - 166 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | float | Qualcomm® QCS8450 | 23.067 ms | 1 - 185 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 4.314 ms | 0 - 87 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | float | Qualcomm® SA8295P | 18.8 ms | 2 - 124 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.258 ms | 2 - 207 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | float | Qualcomm® SA7255P | 29.129 ms | 2 - 81 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | float | Qualcomm® QCS9075 | 11.701 ms | 2 - 5 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | float | Qualcomm® QCS8750 | 4.314 ms | 0 - 87 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | float | Qualcomm® QCS7181 | 8.817 ms | 2 - 2 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 3.544 ms | 1 - 1 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® X Elite | 9.093 ms | 1 - 1 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 5.67 ms | 1 - 199 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 11.258 ms | 1 - 200 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 23.01 ms | 1 - 3 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® QCS8275 | 15.484 ms | 1 - 141 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 8.397 ms | 1 - 183 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 11.258 ms | 1 - 200 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 9.88 ms | 2 - 5 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 3.04 ms | 1 - 157 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 3.749 ms | 0 - 144 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® SA8295P | 10.959 ms | 1 - 144 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 9.765 ms | 1 - 268 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 56.876 ms | 1 - 276 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® SA7255P | 15.484 ms | 1 - 141 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® QCS7790 | 9.765 ms | 1 - 268 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® QCS8750 | 3.749 ms | 0 - 144 MB | NPU
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- | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® QCS7181 | 9.093 ms | 1 - 1 MB | NPU
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- | EfficientNet-B4 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 5.756 ms | 0 - 163 MB | NPU
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- | EfficientNet-B4 | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 21.772 ms | 0 - 204 MB | NPU
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- | EfficientNet-B4 | TFLITE | float | Qualcomm® QCS8275 | 28.921 ms | 0 - 97 MB | NPU
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- | EfficientNet-B4 | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 8.024 ms | 0 - 4 MB | NPU
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- | EfficientNet-B4 | TFLITE | float | Qualcomm® SA8775P | 29.409 ms | 0 - 32 MB | GPU
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- | EfficientNet-B4 | TFLITE | float | Qualcomm® SA8650P | 29.409 ms | 0 - 32 MB | GPU
130
- | EfficientNet-B4 | TFLITE | float | Qualcomm® SA8255P | 29.409 ms | 0 - 32 MB | GPU
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- | EfficientNet-B4 | TFLITE | float | Qualcomm® QCS8450 | 21.772 ms | 0 - 204 MB | NPU
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- | EfficientNet-B4 | TFLITE | float | Snapdragon® 8 Elite Mobile | 4.322 ms | 0 - 104 MB | NPU
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- | EfficientNet-B4 | TFLITE | float | Qualcomm® SA8295P | 18.833 ms | 0 - 139 MB | NPU
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- | EfficientNet-B4 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.218 ms | 0 - 98 MB | NPU
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- | EfficientNet-B4 | TFLITE | float | Qualcomm® SA7255P | 28.921 ms | 0 - 97 MB | NPU
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- | EfficientNet-B4 | TFLITE | float | Qualcomm® QCS9075 | 10.939 ms | 0 - 49 MB | NPU
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- | EfficientNet-B4 | TFLITE | float | Qualcomm® QCS8750 | 4.322 ms | 0 - 104 MB | NPU
 
 
 
 
 
 
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139
  ## License
140
  * The license for the original implementation of EfficientNet-B4 can be found
 
16
  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).
19
+ 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_b4) library to export with custom configurations. More details on model performance across various devices, can be found [here](#performance-summary).
20
 
21
  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.
22
 
 
29
 
30
  | Runtime | Precision | Chipset | SDK Versions | Download |
31
  |---|---|---|---|---|
32
+ | 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_b4/releases/v0.58.0/efficientnet_b4-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_b4/releases/v0.58.0/efficientnet_b4-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_b4/releases/v0.58.0/efficientnet_b4-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_b4/releases/v0.58.0/efficientnet_b4-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_b4/releases/v0.58.0/efficientnet_b4-tflite-float.zip)
37
 
38
  For more device-specific assets and performance metrics, visit **[EfficientNet-B4 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/efficientnet_b4)**.
39
 
40
 
41
  ### Option 2: Export with Custom Configurations
42
 
43
+ Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.58.0/src/qai_hub_models/models/efficientnet_b4) Python library to compile and export the model with your own:
44
  - Custom weights (e.g., fine-tuned checkpoints)
45
  - Custom input shapes
46
  - Target device and runtime configurations
47
 
48
  This option is ideal if you need to customize the model beyond the default configuration provided here.
49
 
50
+ See our repository for [EfficientNet-B4 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.58.0/src/qai_hub_models/models/efficientnet_b4) for usage instructions.
51
 
52
  ## Model Details
53
 
 
63
  ## Performance Summary
64
  | Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
65
  |---|---|---|---|---|---|---
66
+ | EfficientNet-B4 | ONNX | float | Snapdragon® X2 Elite | 3.918 ms | 2 - 2 MB | NPU
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+ | EfficientNet-B4 | ONNX | float | Snapdragon® X Elite | 7.732 ms | 44 - 44 MB | NPU
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+ | EfficientNet-B4 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 5.309 ms | 0 - 147 MB | NPU
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+ | EfficientNet-B4 | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 20.415 ms | 0 - 191 MB | NPU
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+ | EfficientNet-B4 | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 7.322 ms | 0 - 49 MB | NPU
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+ | EfficientNet-B4 | ONNX | float | Qualcomm® QCS8450 | 20.415 ms | 0 - 191 MB | NPU
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+ | EfficientNet-B4 | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 9.332 ms | 1 - 6 MB | NPU
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+ | EfficientNet-B4 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.114 ms | 0 - 206 MB | NPU
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+ | EfficientNet-B4 | ONNX | float | Snapdragon® 8 Elite Mobile | 4.047 ms | 0 - 88 MB | NPU
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+ | EfficientNet-B4 | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 4.047 ms | 0 - 88 MB | NPU
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+ | EfficientNet-B4 | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 7.732 ms | 44 - 44 MB | NPU
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+ | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® X2 Elite | 2.951 ms | 2 - 2 MB | NPU
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+ | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® X Elite | 8.021 ms | 24 - 24 MB | NPU
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+ | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 5.095 ms | 1 - 226 MB | NPU
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+ | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 8.918 ms | 0 - 229 MB | NPU
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+ | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 32.645 ms | 0 - 4 MB | NPU
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+ | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 7.637 ms | 0 - 30 MB | NPU
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+ | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® QCS8450 | 8.918 ms | 0 - 229 MB | NPU
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+ | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 7.997 ms | 1 - 4 MB | NPU
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+ | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 9.113 ms | 1 - 289 MB | NPU
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+ | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 2.771 ms | 0 - 176 MB | NPU
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+ | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 49.373 ms | 1 - 297 MB | NPU
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+ | EfficientNet-B4 | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 3.457 ms | 0 - 167 MB | NPU
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+ | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 9.113 ms | 1 - 289 MB | NPU
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+ | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 3.457 ms | 0 - 167 MB | NPU
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+ | EfficientNet-B4 | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 8.021 ms | 24 - 24 MB | NPU
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+ | EfficientNet-B4 | QNN_DLC | float | Snapdragon® X2 Elite | 4.563 ms | 2 - 2 MB | NPU
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+ | EfficientNet-B4 | QNN_DLC | float | Snapdragon® X Elite | 8.937 ms | 2 - 2 MB | NPU
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+ | EfficientNet-B4 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 5.802 ms | 0 - 145 MB | NPU
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+ | EfficientNet-B4 | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 22.973 ms | 2 - 187 MB | NPU
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+ | EfficientNet-B4 | QNN_DLC | float | Qualcomm® QCS8275 | 29.123 ms | 2 - 81 MB | NPU
97
+ | EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 8.119 ms | 2 - 162 MB | NPU
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+ | EfficientNet-B4 | QNN_DLC | float | Qualcomm® SA8775P | 10.311 ms | 2 - 85 MB | NPU
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+ | EfficientNet-B4 | QNN_DLC | float | Qualcomm® SA8650P | 10.311 ms | 2 - 85 MB | NPU
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+ | EfficientNet-B4 | QNN_DLC | float | Qualcomm® SA8255P | 10.311 ms | 2 - 85 MB | NPU
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+ | EfficientNet-B4 | QNN_DLC | float | Qualcomm® QCS8450 | 22.973 ms | 2 - 187 MB | NPU
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+ | EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 10.019 ms | 4 - 7 MB | NPU
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+ | EfficientNet-B4 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.351 ms | 2 - 208 MB | NPU
104
+ | EfficientNet-B4 | QNN_DLC | float | Qualcomm® SA7255P | 29.123 ms | 2 - 81 MB | NPU
105
+ | EfficientNet-B4 | QNN_DLC | float | Snapdragon�� 8 Elite Mobile | 4.301 ms | 0 - 87 MB | NPU
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+ | EfficientNet-B4 | QNN_DLC | float | Qualcomm® SA8295P | 18.789 ms | 2 - 124 MB | NPU
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+ | EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 4.301 ms | 0 - 87 MB | NPU
108
+ | EfficientNet-B4 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 8.937 ms | 2 - 2 MB | NPU
109
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 3.556 ms | 1 - 1 MB | NPU
110
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® X Elite | 9.14 ms | 1 - 1 MB | NPU
111
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 5.659 ms | 1 - 199 MB | NPU
112
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 11.438 ms | 1 - 202 MB | NPU
113
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 33.289 ms | 3 - 5 MB | NPU
114
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® QCS8275 | 15.489 ms | 1 - 142 MB | NPU
115
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 8.387 ms | 1 - 3 MB | NPU
116
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® SA8775P | 8.975 ms | 1 - 144 MB | NPU
117
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® SA8650P | 8.975 ms | 1 - 144 MB | NPU
118
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® SA8255P | 8.975 ms | 1 - 144 MB | NPU
119
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® QCS8450 | 11.438 ms | 1 - 202 MB | NPU
120
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 8.699 ms | 3 - 5 MB | NPU
121
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 9.751 ms | 1 - 269 MB | NPU
122
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 3.044 ms | 1 - 154 MB | NPU
123
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 53.718 ms | 1 - 275 MB | NPU
124
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® SA7255P | 15.489 ms | 1 - 142 MB | NPU
125
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 3.747 ms | 0 - 145 MB | NPU
126
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® SA8295P | 10.967 ms | 1 - 142 MB | NPU
127
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 9.751 ms | 1 - 269 MB | NPU
128
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 3.747 ms | 0 - 145 MB | NPU
129
+ | EfficientNet-B4 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 9.14 ms | 1 - 1 MB | NPU
130
+ | EfficientNet-B4 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 5.777 ms | 0 - 162 MB | NPU
131
+ | EfficientNet-B4 | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 21.925 ms | 0 - 206 MB | NPU
132
+ | EfficientNet-B4 | TFLITE | float | Qualcomm® QCS8275 | 28.916 ms | 0 - 97 MB | NPU
133
+ | EfficientNet-B4 | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 8.019 ms | 0 - 3 MB | NPU
134
+ | EfficientNet-B4 | TFLITE | float | Qualcomm® SA8775P | 10.279 ms | 0 - 99 MB | NPU
135
+ | EfficientNet-B4 | TFLITE | float | Qualcomm® SA8650P | 10.279 ms | 0 - 99 MB | NPU
136
+ | EfficientNet-B4 | TFLITE | float | Qualcomm® SA8255P | 10.279 ms | 0 - 99 MB | NPU
137
+ | EfficientNet-B4 | TFLITE | float | Qualcomm® QCS8450 | 21.925 ms | 0 - 206 MB | NPU
138
+ | EfficientNet-B4 | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 9.996 ms | 0 - 49 MB | NPU
139
+ | EfficientNet-B4 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 3.318 ms | 0 - 98 MB | NPU
140
+ | EfficientNet-B4 | TFLITE | float | Qualcomm® SA7255P | 28.916 ms | 0 - 97 MB | NPU
141
+ | EfficientNet-B4 | TFLITE | float | Snapdragon® 8 Elite Mobile | 4.313 ms | 0 - 105 MB | NPU
142
+ | EfficientNet-B4 | TFLITE | float | Qualcomm® SA8295P | 18.842 ms | 0 - 140 MB | NPU
143
+ | EfficientNet-B4 | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 4.313 ms | 0 - 105 MB | NPU
144
 
145
  ## License
146
  * The license for the original implementation of EfficientNet-B4 can be found
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