v0.62.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.62.0 for changelog.
- README.md +81 -85
- release_assets.json +8 -8
README.md
CHANGED
|
@@ -16,7 +16,7 @@ pipeline_tag: image-classification
|
|
| 16 |
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.
|
| 17 |
|
| 18 |
This is based on the implementation of EfficientNet-B0 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.
|
| 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 |
|
|
@@ -29,27 +29,27 @@ Below are pre-exported model assets ready for deployment.
|
|
| 29 |
|
| 30 |
| Runtime | Precision | Chipset | SDK Versions | Download |
|
| 31 |
|---|---|---|---|---|
|
| 32 |
-
| ONNX | float | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.
|
| 33 |
-
| ONNX | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.
|
| 34 |
-
| ONNX | w8a16_mixed_int16 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.
|
| 35 |
-
| 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.
|
| 36 |
-
| 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.
|
| 37 |
-
| QNN_DLC | w8a16_mixed_int16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.
|
| 38 |
-
| 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.
|
| 39 |
|
| 40 |
For more device-specific assets and performance metrics, visit **[EfficientNet-B0 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/efficientnet_b0)**.
|
| 41 |
|
| 42 |
|
| 43 |
### Option 2: Export with Custom Configurations
|
| 44 |
|
| 45 |
-
Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.
|
| 46 |
- Custom weights (e.g., fine-tuned checkpoints)
|
| 47 |
- Custom input shapes
|
| 48 |
- Target device and runtime configurations
|
| 49 |
|
| 50 |
This option is ideal if you need to customize the model beyond the default configuration provided here.
|
| 51 |
|
| 52 |
-
See our repository for [EfficientNet-B0 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.
|
| 53 |
|
| 54 |
## Model Details
|
| 55 |
|
|
@@ -66,17 +66,17 @@ See our repository for [EfficientNet-B0 on GitHub](https://github.com/qualcomm/a
|
|
| 66 |
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|
| 67 |
|---|---|---|---|---|---|---
|
| 68 |
| EfficientNet-B0 | ONNX | float | Snapdragon® X2 Elite | 0.656 ms | 2 - 2 MB | NPU
|
| 69 |
-
| EfficientNet-B0 | ONNX | float | Snapdragon® X Elite | 1.
|
| 70 |
-
| EfficientNet-B0 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.
|
| 71 |
-
| EfficientNet-B0 | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 2.
|
| 72 |
-
| EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 1.
|
| 73 |
-
| EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.
|
| 74 |
-
| EfficientNet-B0 | ONNX | float | Qualcomm® QCS8450 | 2.
|
| 75 |
-
| EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 1.
|
| 76 |
-
| EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.
|
| 77 |
-
| EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.
|
| 78 |
-
| EfficientNet-B0 | ONNX | float | Snapdragon® 8 Elite Mobile | 0.
|
| 79 |
-
| EfficientNet-B0 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.
|
| 80 |
| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® X2 Elite | 0.571 ms | 1 - 1 MB | NPU
|
| 81 |
| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® X Elite | 1.486 ms | 6 - 6 MB | NPU
|
| 82 |
| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.949 ms | 0 - 82 MB | NPU
|
|
@@ -93,44 +93,42 @@ See our repository for [EfficientNet-B0 on GitHub](https://github.com/qualcomm/a
|
|
| 93 |
| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 0.668 ms | 0 - 57 MB | NPU
|
| 94 |
| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.555 ms | 0 - 60 MB | NPU
|
| 95 |
| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.444 ms | 2 - 60 MB | NPU
|
| 96 |
-
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Snapdragon® X2 Elite | 0.
|
| 97 |
-
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Snapdragon® X Elite | 1.
|
| 98 |
-
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Snapdragon® 8 Gen 3 Mobile | 0.
|
| 99 |
-
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Qualcomm® Dragonwing™ IQ-8275 | 1.
|
| 100 |
-
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.
|
| 101 |
-
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Qualcomm® Dragonwing™ IQ-9075 | 1.
|
| 102 |
-
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.
|
| 103 |
-
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Qualcomm® Dragonwing™ Q-6690 | 5.
|
| 104 |
-
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Qualcomm® Dragonwing™ Q-7790 | 1.
|
| 105 |
-
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Qualcomm® Dragonwing™ Q-8750 | 0.
|
| 106 |
-
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Snapdragon® 8 Elite Mobile | 0.
|
| 107 |
-
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.
|
| 108 |
-
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Snapdragon® 7 Gen 4 Mobile | 1.
|
| 109 |
-
| EfficientNet-B0 | QNN_DLC | float | Snapdragon® X2 Elite | 0.
|
| 110 |
-
| EfficientNet-B0 | QNN_DLC | float | Snapdragon® X Elite | 1.
|
| 111 |
-
| EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.
|
| 112 |
-
| EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 3.
|
| 113 |
-
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 1.
|
| 114 |
-
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™
|
| 115 |
-
| EfficientNet-B0 | QNN_DLC | float | Qualcomm®
|
| 116 |
-
| EfficientNet-B0 | QNN_DLC | float | Qualcomm®
|
| 117 |
-
| EfficientNet-B0 | QNN_DLC | float | Qualcomm®
|
| 118 |
-
| EfficientNet-B0 | QNN_DLC | float | Qualcomm®
|
| 119 |
-
| EfficientNet-B0 | QNN_DLC | float | Qualcomm®
|
| 120 |
-
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-
|
| 121 |
-
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™
|
| 122 |
-
| EfficientNet-B0 | QNN_DLC | float | Qualcomm®
|
| 123 |
-
| EfficientNet-B0 | QNN_DLC | float | Qualcomm®
|
| 124 |
-
| EfficientNet-B0 | QNN_DLC | float |
|
| 125 |
-
| EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 0.
|
| 126 |
-
| EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.612 ms | 1 - 42 MB | NPU
|
| 127 |
| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.803 ms | 0 - 0 MB | NPU
|
| 128 |
| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® X Elite | 1.862 ms | 0 - 0 MB | NPU
|
| 129 |
| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.132 ms | 0 - 66 MB | NPU
|
| 130 |
| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 1.97 ms | 0 - 68 MB | NPU
|
| 131 |
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 5.057 ms | 0 - 2 MB | NPU
|
| 132 |
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 1.569 ms | 0 - 3 MB | NPU
|
| 133 |
-
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 3.281 ms | 0 - 47 MB | NPU
|
| 134 |
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.672 ms | 0 - 2 MB | NPU
|
| 135 |
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA8775P | 1.947 ms | 0 - 52 MB | NPU
|
| 136 |
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA8650P | 1.947 ms | 0 - 52 MB | NPU
|
|
@@ -146,39 +144,37 @@ See our repository for [EfficientNet-B0 on GitHub](https://github.com/qualcomm/a
|
|
| 146 |
| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 0.773 ms | 0 - 46 MB | NPU
|
| 147 |
| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.645 ms | 0 - 47 MB | NPU
|
| 148 |
| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.708 ms | 0 - 48 MB | NPU
|
| 149 |
-
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Snapdragon® X2 Elite | 0.
|
| 150 |
-
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Snapdragon® X Elite | 1.
|
| 151 |
-
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Snapdragon® 8 Gen 3 Mobile | 1.
|
| 152 |
-
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® Dragonwing™ IQ-8275 | 1.
|
| 153 |
-
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® Dragonwing™
|
| 154 |
-
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm®
|
| 155 |
-
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm®
|
| 156 |
-
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm®
|
| 157 |
-
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm®
|
| 158 |
-
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® Dragonwing™ IQ-
|
| 159 |
-
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® Dragonwing™
|
| 160 |
-
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® Dragonwing™ Q-
|
| 161 |
-
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® Dragonwing™ Q-
|
| 162 |
-
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm®
|
| 163 |
-
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 |
|
| 164 |
-
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Snapdragon® 8 Elite Mobile | 0.
|
| 165 |
-
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Snapdragon®
|
| 166 |
-
| EfficientNet-B0 |
|
| 167 |
-
| EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Gen
|
| 168 |
-
| EfficientNet-B0 | TFLITE | float |
|
| 169 |
-
| EfficientNet-B0 | TFLITE | float | Qualcomm® Dragonwing™
|
| 170 |
-
| EfficientNet-B0 | TFLITE | float | Qualcomm®
|
| 171 |
-
| EfficientNet-B0 | TFLITE | float | Qualcomm®
|
| 172 |
-
| EfficientNet-B0 | TFLITE | float | Qualcomm®
|
| 173 |
-
| EfficientNet-B0 | TFLITE | float | Qualcomm®
|
| 174 |
-
| EfficientNet-B0 | TFLITE | float | Qualcomm®
|
| 175 |
-
| EfficientNet-B0 | TFLITE | float | Qualcomm®
|
| 176 |
-
| EfficientNet-B0 | TFLITE | float | Qualcomm®
|
| 177 |
-
| EfficientNet-B0 | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 0.815 ms | 0 - 46 MB | NPU
|
| 178 |
-
| EfficientNet-B0 | TFLITE | float | Qualcomm® SA7255P | 4.92 ms | 0 - 41 MB | NPU
|
| 179 |
| EfficientNet-B0 | TFLITE | float | Qualcomm® SA8295P | 3.634 ms | 0 - 48 MB | NPU
|
| 180 |
-
| EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Elite Mobile | 0.
|
| 181 |
-
| EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.
|
| 182 |
|
| 183 |
## License
|
| 184 |
* The license for the original implementation of EfficientNet-B0 can be found
|
|
|
|
| 16 |
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.
|
| 17 |
|
| 18 |
This is based on the implementation of EfficientNet-B0 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/v0.62.0/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).
|
| 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 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.62.0/efficientnet_b0-onnx-float.zip)
|
| 33 |
+
| ONNX | w8a16 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.62.0/efficientnet_b0-onnx-w8a16.zip)
|
| 34 |
+
| ONNX | w8a16_mixed_int16 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.62.0/efficientnet_b0-onnx-w8a16_mixed_int16.zip)
|
| 35 |
+
| 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/v0.62.0/efficientnet_b0-qnn_dlc-float.zip)
|
| 36 |
+
| 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/v0.62.0/efficientnet_b0-qnn_dlc-w8a16.zip)
|
| 37 |
+
| QNN_DLC | w8a16_mixed_int16 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.62.0/efficientnet_b0-qnn_dlc-w8a16_mixed_int16.zip)
|
| 38 |
+
| TFLITE | float | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.62.0/efficientnet_b0-tflite-float.zip)
|
| 39 |
|
| 40 |
For more device-specific assets and performance metrics, visit **[EfficientNet-B0 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/efficientnet_b0)**.
|
| 41 |
|
| 42 |
|
| 43 |
### Option 2: Export with Custom Configurations
|
| 44 |
|
| 45 |
+
Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/v0.62.0/src/qai_hub_models/models/efficientnet_b0) Python library to compile and export the model with your own:
|
| 46 |
- Custom weights (e.g., fine-tuned checkpoints)
|
| 47 |
- Custom input shapes
|
| 48 |
- Target device and runtime configurations
|
| 49 |
|
| 50 |
This option is ideal if you need to customize the model beyond the default configuration provided here.
|
| 51 |
|
| 52 |
+
See our repository for [EfficientNet-B0 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.62.0/src/qai_hub_models/models/efficientnet_b0) for usage instructions.
|
| 53 |
|
| 54 |
## Model Details
|
| 55 |
|
|
|
|
| 66 |
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|
| 67 |
|---|---|---|---|---|---|---
|
| 68 |
| EfficientNet-B0 | ONNX | float | Snapdragon® X2 Elite | 0.656 ms | 2 - 2 MB | NPU
|
| 69 |
+
| EfficientNet-B0 | ONNX | float | Snapdragon® X Elite | 1.315 ms | 14 - 14 MB | NPU
|
| 70 |
+
| EfficientNet-B0 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.904 ms | 0 - 69 MB | NPU
|
| 71 |
+
| EfficientNet-B0 | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 2.88 ms | 1 - 78 MB | NPU
|
| 72 |
+
| EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 1.605 ms | 1 - 4 MB | NPU
|
| 73 |
+
| EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.259 ms | 0 - 16 MB | NPU
|
| 74 |
+
| EfficientNet-B0 | ONNX | float | Qualcomm® QCS8450 | 2.88 ms | 1 - 78 MB | NPU
|
| 75 |
+
| EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 1.628 ms | 1 - 3 MB | NPU
|
| 76 |
+
| EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.315 ms | 14 - 14 MB | NPU
|
| 77 |
+
| EfficientNet-B0 | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 0.697 ms | 0 - 38 MB | NPU
|
| 78 |
+
| EfficientNet-B0 | ONNX | float | Snapdragon® 8 Elite Mobile | 0.697 ms | 0 - 38 MB | NPU
|
| 79 |
+
| EfficientNet-B0 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.552 ms | 0 - 43 MB | NPU
|
| 80 |
| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® X2 Elite | 0.571 ms | 1 - 1 MB | NPU
|
| 81 |
| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® X Elite | 1.486 ms | 6 - 6 MB | NPU
|
| 82 |
| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.949 ms | 0 - 82 MB | NPU
|
|
|
|
| 93 |
| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 0.668 ms | 0 - 57 MB | NPU
|
| 94 |
| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.555 ms | 0 - 60 MB | NPU
|
| 95 |
| EfficientNet-B0 | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.444 ms | 2 - 60 MB | NPU
|
| 96 |
+
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Snapdragon® X2 Elite | 0.584 ms | 1 - 1 MB | NPU
|
| 97 |
+
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Snapdragon® X Elite | 1.491 ms | 6 - 6 MB | NPU
|
| 98 |
+
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Snapdragon® 8 Gen 3 Mobile | 0.951 ms | 0 - 84 MB | NPU
|
| 99 |
+
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Qualcomm® Dragonwing™ IQ-8275 | 1.365 ms | 0 - 4 MB | NPU
|
| 100 |
+
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.432 ms | 0 - 9 MB | NPU
|
| 101 |
+
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Qualcomm® Dragonwing™ IQ-9075 | 1.574 ms | 0 - 3 MB | NPU
|
| 102 |
+
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.491 ms | 6 - 6 MB | NPU
|
| 103 |
+
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Qualcomm® Dragonwing™ Q-6690 | 5.892 ms | 0 - 65 MB | NPU
|
| 104 |
+
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Qualcomm® Dragonwing™ Q-7790 | 1.475 ms | 0 - 59 MB | NPU
|
| 105 |
+
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Qualcomm® Dragonwing™ Q-8750 | 0.68 ms | 0 - 63 MB | NPU
|
| 106 |
+
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Snapdragon® 8 Elite Mobile | 0.68 ms | 0 - 63 MB | NPU
|
| 107 |
+
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.553 ms | 0 - 63 MB | NPU
|
| 108 |
+
| EfficientNet-B0 | ONNX | w8a16_mixed_int16 | Snapdragon® 7 Gen 4 Mobile | 1.475 ms | 0 - 59 MB | NPU
|
| 109 |
+
| EfficientNet-B0 | QNN_DLC | float | Snapdragon® X2 Elite | 0.844 ms | 1 - 1 MB | NPU
|
| 110 |
+
| EfficientNet-B0 | QNN_DLC | float | Snapdragon® X Elite | 1.753 ms | 1 - 1 MB | NPU
|
| 111 |
+
| EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.075 ms | 0 - 65 MB | NPU
|
| 112 |
+
| EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 3.614 ms | 0 - 74 MB | NPU
|
| 113 |
+
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 1.783 ms | 1 - 4 MB | NPU
|
| 114 |
+
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.562 ms | 0 - 7 MB | NPU
|
| 115 |
+
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA8775P | 2.009 ms | 1 - 40 MB | NPU
|
| 116 |
+
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA8650P | 2.009 ms | 1 - 40 MB | NPU
|
| 117 |
+
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA8255P | 2.009 ms | 1 - 40 MB | NPU
|
| 118 |
+
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® QCS8450 | 3.614 ms | 0 - 74 MB | NPU
|
| 119 |
+
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 1.871 ms | 1 - 3 MB | NPU
|
| 120 |
+
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 1.753 ms | 1 - 1 MB | NPU
|
| 121 |
+
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 0.806 ms | 1 - 36 MB | NPU
|
| 122 |
+
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA7255P | 4.947 ms | 1 - 36 MB | NPU
|
| 123 |
+
| EfficientNet-B0 | QNN_DLC | float | Qualcomm® SA8295P | 3.618 ms | 0 - 43 MB | NPU
|
| 124 |
+
| EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 0.806 ms | 1 - 36 MB | NPU
|
| 125 |
+
| EfficientNet-B0 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.613 ms | 1 - 42 MB | NPU
|
|
|
|
| 126 |
| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.803 ms | 0 - 0 MB | NPU
|
| 127 |
| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® X Elite | 1.862 ms | 0 - 0 MB | NPU
|
| 128 |
| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.132 ms | 0 - 66 MB | NPU
|
| 129 |
| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 1 Mobile | 1.97 ms | 0 - 68 MB | NPU
|
| 130 |
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 5.057 ms | 0 - 2 MB | NPU
|
| 131 |
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 1.569 ms | 0 - 3 MB | NPU
|
|
|
|
| 132 |
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.672 ms | 0 - 2 MB | NPU
|
| 133 |
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA8775P | 1.947 ms | 0 - 52 MB | NPU
|
| 134 |
| EfficientNet-B0 | QNN_DLC | w8a16 | Qualcomm® SA8650P | 1.947 ms | 0 - 52 MB | NPU
|
|
|
|
| 144 |
| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 0.773 ms | 0 - 46 MB | NPU
|
| 145 |
| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.645 ms | 0 - 47 MB | NPU
|
| 146 |
| EfficientNet-B0 | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 1.708 ms | 0 - 48 MB | NPU
|
| 147 |
+
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Snapdragon® X2 Elite | 0.816 ms | 0 - 0 MB | NPU
|
| 148 |
+
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Snapdragon® X Elite | 1.9 ms | 0 - 0 MB | NPU
|
| 149 |
+
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Snapdragon® 8 Gen 3 Mobile | 1.134 ms | 0 - 66 MB | NPU
|
| 150 |
+
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® Dragonwing™ IQ-8275 | 1.586 ms | 0 - 3 MB | NPU
|
| 151 |
+
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.675 ms | 0 - 2 MB | NPU
|
| 152 |
+
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® SA8775P | 1.951 ms | 0 - 51 MB | NPU
|
| 153 |
+
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® SA8650P | 1.951 ms | 0 - 51 MB | NPU
|
| 154 |
+
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® SA8255P | 1.951 ms | 0 - 51 MB | NPU
|
| 155 |
+
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® Dragonwing™ IQ-9075 | 1.803 ms | 0 - 2 MB | NPU
|
| 156 |
+
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® Dragonwing™ IQ-X7181 | 1.9 ms | 0 - 0 MB | NPU
|
| 157 |
+
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® Dragonwing™ Q-6690 | 6.742 ms | 0 - 169 MB | NPU
|
| 158 |
+
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® Dragonwing™ Q-7790 | 1.718 ms | 0 - 48 MB | NPU
|
| 159 |
+
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® Dragonwing™ Q-8750 | 0.779 ms | 0 - 47 MB | NPU
|
| 160 |
+
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® SA7255P | 3.3 ms | 0 - 48 MB | NPU
|
| 161 |
+
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Snapdragon® 8 Elite Mobile | 0.779 ms | 0 - 47 MB | NPU
|
| 162 |
+
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.634 ms | 0 - 47 MB | NPU
|
| 163 |
+
| EfficientNet-B0 | QNN_DLC | w8a16_mixed_int16 | Snapdragon® 7 Gen 4 Mobile | 1.718 ms | 0 - 48 MB | NPU
|
| 164 |
+
| EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.068 ms | 0 - 65 MB | NPU
|
| 165 |
+
| EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 3.59 ms | 0 - 80 MB | NPU
|
| 166 |
+
| EfficientNet-B0 | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 1.795 ms | 0 - 17 MB | NPU
|
| 167 |
+
| EfficientNet-B0 | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 1.532 ms | 0 - 2 MB | NPU
|
| 168 |
+
| EfficientNet-B0 | TFLITE | float | Qualcomm® SA8775P | 2.025 ms | 0 - 45 MB | NPU
|
| 169 |
+
| EfficientNet-B0 | TFLITE | float | Qualcomm® SA8650P | 2.025 ms | 0 - 45 MB | NPU
|
| 170 |
+
| EfficientNet-B0 | TFLITE | float | Qualcomm® SA8255P | 2.025 ms | 0 - 45 MB | NPU
|
| 171 |
+
| EfficientNet-B0 | TFLITE | float | Qualcomm® QCS8450 | 3.59 ms | 0 - 80 MB | NPU
|
| 172 |
+
| EfficientNet-B0 | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 1.882 ms | 0 - 16 MB | NPU
|
| 173 |
+
| EfficientNet-B0 | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 0.816 ms | 0 - 46 MB | NPU
|
| 174 |
+
| EfficientNet-B0 | TFLITE | float | Qualcomm® SA7255P | 4.922 ms | 0 - 41 MB | NPU
|
|
|
|
|
|
|
| 175 |
| EfficientNet-B0 | TFLITE | float | Qualcomm® SA8295P | 3.634 ms | 0 - 48 MB | NPU
|
| 176 |
+
| EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Elite Mobile | 0.816 ms | 0 - 46 MB | NPU
|
| 177 |
+
| EfficientNet-B0 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.611 ms | 0 - 41 MB | NPU
|
| 178 |
|
| 179 |
## License
|
| 180 |
* The license for the original implementation of EfficientNet-B0 can be found
|
release_assets.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"version": "0.
|
| 3 |
"precisions": {
|
| 4 |
"float": {
|
| 5 |
"universal_assets": {
|
|
@@ -8,19 +8,19 @@
|
|
| 8 |
"qairt": "2.45.0.260326154327",
|
| 9 |
"onnx_runtime": "1.27.1"
|
| 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 |
"tflite": {
|
| 20 |
"tool_versions": {
|
| 21 |
"qairt": "2.45.0.260326154327"
|
| 22 |
},
|
| 23 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.
|
| 24 |
}
|
| 25 |
}
|
| 26 |
},
|
|
@@ -31,13 +31,13 @@
|
|
| 31 |
"qairt": "2.45.0.260326154327",
|
| 32 |
"onnx_runtime": "1.27.1"
|
| 33 |
},
|
| 34 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.
|
| 35 |
},
|
| 36 |
"qnn_dlc": {
|
| 37 |
"tool_versions": {
|
| 38 |
"qairt": "2.45.0.260326154327"
|
| 39 |
},
|
| 40 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.
|
| 41 |
}
|
| 42 |
}
|
| 43 |
},
|
|
@@ -48,13 +48,13 @@
|
|
| 48 |
"qairt": "2.45.0.260326154327",
|
| 49 |
"onnx_runtime": "1.27.1"
|
| 50 |
},
|
| 51 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.
|
| 52 |
},
|
| 53 |
"qnn_dlc": {
|
| 54 |
"tool_versions": {
|
| 55 |
"qairt": "2.45.0.260326154327"
|
| 56 |
},
|
| 57 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.
|
| 58 |
}
|
| 59 |
}
|
| 60 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"version": "0.62.0",
|
| 3 |
"precisions": {
|
| 4 |
"float": {
|
| 5 |
"universal_assets": {
|
|
|
|
| 8 |
"qairt": "2.45.0.260326154327",
|
| 9 |
"onnx_runtime": "1.27.1"
|
| 10 |
},
|
| 11 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.62.0/efficientnet_b0-onnx-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/v0.62.0/efficientnet_b0-qnn_dlc-float.zip"
|
| 18 |
},
|
| 19 |
"tflite": {
|
| 20 |
"tool_versions": {
|
| 21 |
"qairt": "2.45.0.260326154327"
|
| 22 |
},
|
| 23 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.62.0/efficientnet_b0-tflite-float.zip"
|
| 24 |
}
|
| 25 |
}
|
| 26 |
},
|
|
|
|
| 31 |
"qairt": "2.45.0.260326154327",
|
| 32 |
"onnx_runtime": "1.27.1"
|
| 33 |
},
|
| 34 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.62.0/efficientnet_b0-onnx-w8a16.zip"
|
| 35 |
},
|
| 36 |
"qnn_dlc": {
|
| 37 |
"tool_versions": {
|
| 38 |
"qairt": "2.45.0.260326154327"
|
| 39 |
},
|
| 40 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.62.0/efficientnet_b0-qnn_dlc-w8a16.zip"
|
| 41 |
}
|
| 42 |
}
|
| 43 |
},
|
|
|
|
| 48 |
"qairt": "2.45.0.260326154327",
|
| 49 |
"onnx_runtime": "1.27.1"
|
| 50 |
},
|
| 51 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.62.0/efficientnet_b0-onnx-w8a16_mixed_int16.zip"
|
| 52 |
},
|
| 53 |
"qnn_dlc": {
|
| 54 |
"tool_versions": {
|
| 55 |
"qairt": "2.45.0.260326154327"
|
| 56 |
},
|
| 57 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/efficientnet_b0/releases/v0.62.0/efficientnet_b0-qnn_dlc-w8a16_mixed_int16.zip"
|
| 58 |
}
|
| 59 |
}
|
| 60 |
}
|