v0.47.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.47.0 for changelog.
README.md
CHANGED
|
@@ -16,7 +16,7 @@ pipeline_tag: image-classification
|
|
| 16 |
MobileNetV2 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 MobileNet-v2 found [here](https://github.com/tonylins/pytorch-mobilenet-v2/tree/master).
|
| 19 |
-
This repository contains pre-exported model files optimized for Qualcomm® devices. You can use the [Qualcomm® AI Hub Models](https://github.com/
|
| 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 +29,30 @@ Below are pre-exported model assets ready for deployment.
|
|
| 29 |
|
| 30 |
| Runtime | Precision | Chipset | SDK Versions | Download |
|
| 31 |
|---|---|---|---|---|
|
| 32 |
-
| ONNX | float | Universal | QAIRT 2.
|
| 33 |
-
|
|
| 34 |
-
|
|
| 35 |
-
|
|
| 36 |
-
| QNN_DLC |
|
| 37 |
-
|
|
| 38 |
-
|
|
|
|
|
|
|
|
|
|
|
| 39 |
|
| 40 |
For more device-specific assets and performance metrics, visit **[MobileNet-v2 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/mobilenet_v2)**.
|
| 41 |
|
| 42 |
|
| 43 |
### Option 2: Export with Custom Configurations
|
| 44 |
|
| 45 |
-
Use the [Qualcomm® AI Hub Models](https://github.com/
|
| 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 [MobileNet-v2 on GitHub](https://github.com/
|
| 53 |
|
| 54 |
## Model Details
|
| 55 |
|
|
@@ -65,85 +68,117 @@ See our repository for [MobileNet-v2 on GitHub](https://github.com/quic/ai-hub-m
|
|
| 65 |
## Performance Summary
|
| 66 |
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|
| 67 |
|---|---|---|---|---|---|---
|
| 68 |
-
| MobileNet-v2 | ONNX | float | Snapdragon®
|
| 69 |
-
| MobileNet-v2 | ONNX | float | Snapdragon®
|
| 70 |
-
| MobileNet-v2 | ONNX | float |
|
| 71 |
-
| MobileNet-v2 | ONNX | float | Qualcomm®
|
| 72 |
-
| MobileNet-v2 | ONNX | float |
|
| 73 |
-
| MobileNet-v2 | ONNX | float | Snapdragon® 8 Elite
|
| 74 |
-
| MobileNet-v2 |
|
| 75 |
-
| MobileNet-v2 |
|
| 76 |
-
| MobileNet-v2 |
|
| 77 |
-
| MobileNet-v2 |
|
| 78 |
-
| MobileNet-v2 |
|
| 79 |
-
| MobileNet-v2 |
|
| 80 |
-
| MobileNet-v2 |
|
| 81 |
-
| MobileNet-v2 |
|
| 82 |
-
| MobileNet-v2 |
|
| 83 |
-
| MobileNet-v2 |
|
| 84 |
-
| MobileNet-v2 |
|
| 85 |
-
| MobileNet-v2 |
|
| 86 |
-
| MobileNet-v2 |
|
| 87 |
-
| MobileNet-v2 |
|
| 88 |
-
| MobileNet-v2 |
|
| 89 |
-
| MobileNet-v2 |
|
| 90 |
-
| MobileNet-v2 |
|
| 91 |
-
| MobileNet-v2 |
|
| 92 |
-
| MobileNet-v2 |
|
| 93 |
-
| MobileNet-v2 |
|
| 94 |
-
| MobileNet-v2 |
|
| 95 |
-
| MobileNet-v2 |
|
| 96 |
-
| MobileNet-v2 |
|
| 97 |
-
| MobileNet-v2 |
|
| 98 |
-
| MobileNet-v2 |
|
| 99 |
-
| MobileNet-v2 |
|
| 100 |
-
| MobileNet-v2 |
|
| 101 |
-
| MobileNet-v2 |
|
| 102 |
-
| MobileNet-v2 | QNN_DLC |
|
| 103 |
-
| MobileNet-v2 | QNN_DLC |
|
| 104 |
-
| MobileNet-v2 | QNN_DLC |
|
| 105 |
-
| MobileNet-v2 | QNN_DLC |
|
| 106 |
-
| MobileNet-v2 | QNN_DLC |
|
| 107 |
-
| MobileNet-v2 | QNN_DLC |
|
| 108 |
-
| MobileNet-v2 | QNN_DLC |
|
| 109 |
-
| MobileNet-v2 | QNN_DLC |
|
| 110 |
-
| MobileNet-v2 | QNN_DLC |
|
| 111 |
-
| MobileNet-v2 | QNN_DLC |
|
| 112 |
-
| MobileNet-v2 | QNN_DLC |
|
| 113 |
-
| MobileNet-v2 | QNN_DLC |
|
| 114 |
-
| MobileNet-v2 | QNN_DLC |
|
| 115 |
-
| MobileNet-v2 | QNN_DLC |
|
| 116 |
-
| MobileNet-v2 | QNN_DLC |
|
| 117 |
-
| MobileNet-v2 | QNN_DLC |
|
| 118 |
-
| MobileNet-v2 | QNN_DLC |
|
| 119 |
-
| MobileNet-v2 | QNN_DLC |
|
| 120 |
-
| MobileNet-v2 | QNN_DLC |
|
| 121 |
-
| MobileNet-v2 | QNN_DLC |
|
| 122 |
-
| MobileNet-v2 | QNN_DLC |
|
| 123 |
-
| MobileNet-v2 | QNN_DLC |
|
| 124 |
-
| MobileNet-v2 |
|
| 125 |
-
| MobileNet-v2 |
|
| 126 |
-
| MobileNet-v2 |
|
| 127 |
-
| MobileNet-v2 |
|
| 128 |
-
| MobileNet-v2 |
|
| 129 |
-
| MobileNet-v2 |
|
| 130 |
-
| MobileNet-v2 |
|
| 131 |
-
| MobileNet-v2 |
|
| 132 |
-
| MobileNet-v2 |
|
| 133 |
-
| MobileNet-v2 |
|
| 134 |
-
| MobileNet-v2 |
|
| 135 |
-
| MobileNet-v2 |
|
| 136 |
-
| MobileNet-v2 |
|
| 137 |
-
| MobileNet-v2 |
|
| 138 |
-
| MobileNet-v2 |
|
| 139 |
-
| MobileNet-v2 |
|
| 140 |
-
| MobileNet-v2 |
|
| 141 |
-
| MobileNet-v2 |
|
| 142 |
-
| MobileNet-v2 |
|
| 143 |
-
| MobileNet-v2 |
|
| 144 |
-
| MobileNet-v2 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 145 |
| MobileNet-v2 | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.421 ms | 0 - 28 MB | NPU
|
| 146 |
-
| MobileNet-v2 | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.
|
| 147 |
|
| 148 |
## License
|
| 149 |
* The license for the original implementation of MobileNet-v2 can be found
|
|
|
|
| 16 |
MobileNetV2 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 MobileNet-v2 found [here](https://github.com/tonylins/pytorch-mobilenet-v2/tree/master).
|
| 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/main/qai_hub_models/models/mobilenet_v2) 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 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v2/releases/v0.47.0/mobilenet_v2-onnx-float.zip)
|
| 33 |
+
| ONNX | w8a16 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v2/releases/v0.47.0/mobilenet_v2-onnx-w8a16.zip)
|
| 34 |
+
| ONNX | w8a16_mixed_int16 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v2/releases/v0.47.0/mobilenet_v2-onnx-w8a16_mixed_int16.zip)
|
| 35 |
+
| ONNX | w8a8 | Universal | QAIRT 2.42, ONNX Runtime 1.24.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v2/releases/v0.47.0/mobilenet_v2-onnx-w8a8.zip)
|
| 36 |
+
| QNN_DLC | float | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v2/releases/v0.47.0/mobilenet_v2-qnn_dlc-float.zip)
|
| 37 |
+
| QNN_DLC | w8a16 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v2/releases/v0.47.0/mobilenet_v2-qnn_dlc-w8a16.zip)
|
| 38 |
+
| QNN_DLC | w8a16_mixed_int16 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v2/releases/v0.47.0/mobilenet_v2-qnn_dlc-w8a16_mixed_int16.zip)
|
| 39 |
+
| QNN_DLC | w8a8 | Universal | QAIRT 2.43 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v2/releases/v0.47.0/mobilenet_v2-qnn_dlc-w8a8.zip)
|
| 40 |
+
| TFLITE | float | Universal | QAIRT 2.43, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v2/releases/v0.47.0/mobilenet_v2-tflite-float.zip)
|
| 41 |
+
| TFLITE | w8a8 | Universal | QAIRT 2.43, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/mobilenet_v2/releases/v0.47.0/mobilenet_v2-tflite-w8a8.zip)
|
| 42 |
|
| 43 |
For more device-specific assets and performance metrics, visit **[MobileNet-v2 on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/mobilenet_v2)**.
|
| 44 |
|
| 45 |
|
| 46 |
### Option 2: Export with Custom Configurations
|
| 47 |
|
| 48 |
+
Use the [Qualcomm® AI Hub Models](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/mobilenet_v2) Python library to compile and export the model with your own:
|
| 49 |
- Custom weights (e.g., fine-tuned checkpoints)
|
| 50 |
- Custom input shapes
|
| 51 |
- Target device and runtime configurations
|
| 52 |
|
| 53 |
This option is ideal if you need to customize the model beyond the default configuration provided here.
|
| 54 |
|
| 55 |
+
See our repository for [MobileNet-v2 on GitHub](https://github.com/qualcomm/ai-hub-models/blob/main/qai_hub_models/models/mobilenet_v2) for usage instructions.
|
| 56 |
|
| 57 |
## Model Details
|
| 58 |
|
|
|
|
| 68 |
## Performance Summary
|
| 69 |
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|
| 70 |
|---|---|---|---|---|---|---
|
| 71 |
+
| MobileNet-v2 | ONNX | float | Snapdragon® X2 Elite | 0.322 ms | 7 - 7 MB | NPU
|
| 72 |
+
| MobileNet-v2 | ONNX | float | Snapdragon® X Elite | 0.759 ms | 7 - 7 MB | NPU
|
| 73 |
+
| MobileNet-v2 | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 0.43 ms | 0 - 52 MB | NPU
|
| 74 |
+
| MobileNet-v2 | ONNX | float | Qualcomm® QCS8550 (Proxy) | 0.629 ms | 0 - 2 MB | NPU
|
| 75 |
+
| MobileNet-v2 | ONNX | float | Qualcomm® QCS9075 | 0.884 ms | 1 - 3 MB | NPU
|
| 76 |
+
| MobileNet-v2 | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.338 ms | 0 - 30 MB | NPU
|
| 77 |
+
| MobileNet-v2 | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.277 ms | 0 - 34 MB | NPU
|
| 78 |
+
| MobileNet-v2 | ONNX | w8a16 | Snapdragon® X2 Elite | 0.278 ms | 5 - 5 MB | NPU
|
| 79 |
+
| MobileNet-v2 | ONNX | w8a16 | Snapdragon® X Elite | 0.7 ms | 3 - 3 MB | NPU
|
| 80 |
+
| MobileNet-v2 | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.413 ms | 0 - 47 MB | NPU
|
| 81 |
+
| MobileNet-v2 | ONNX | w8a16 | Qualcomm® QCS6490 | 49.034 ms | 15 - 18 MB | CPU
|
| 82 |
+
| MobileNet-v2 | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 0.577 ms | 0 - 6 MB | NPU
|
| 83 |
+
| MobileNet-v2 | ONNX | w8a16 | Qualcomm® QCS9075 | 0.776 ms | 0 - 3 MB | NPU
|
| 84 |
+
| MobileNet-v2 | ONNX | w8a16 | Qualcomm® QCM6690 | 18.423 ms | 14 - 21 MB | CPU
|
| 85 |
+
| MobileNet-v2 | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.293 ms | 0 - 30 MB | NPU
|
| 86 |
+
| MobileNet-v2 | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 13.122 ms | 15 - 22 MB | CPU
|
| 87 |
+
| MobileNet-v2 | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.218 ms | 0 - 36 MB | NPU
|
| 88 |
+
| MobileNet-v2 | ONNX | w8a16_mixed_int16 | Snapdragon® X2 Elite | 0.304 ms | 6 - 6 MB | NPU
|
| 89 |
+
| MobileNet-v2 | ONNX | w8a16_mixed_int16 | Snapdragon® X Elite | 0.759 ms | 4 - 4 MB | NPU
|
| 90 |
+
| MobileNet-v2 | ONNX | w8a16_mixed_int16 | Snapdragon® 8 Gen 3 Mobile | 0.461 ms | 0 - 47 MB | NPU
|
| 91 |
+
| MobileNet-v2 | ONNX | w8a16_mixed_int16 | Qualcomm® QCS6490 | 48.871 ms | 14 - 17 MB | CPU
|
| 92 |
+
| MobileNet-v2 | ONNX | w8a16_mixed_int16 | Qualcomm® QCS8550 (Proxy) | 0.64 ms | 0 - 2 MB | NPU
|
| 93 |
+
| MobileNet-v2 | ONNX | w8a16_mixed_int16 | Qualcomm® QCS9075 | 0.819 ms | 0 - 3 MB | NPU
|
| 94 |
+
| MobileNet-v2 | ONNX | w8a16_mixed_int16 | Qualcomm® QCM6690 | 18.292 ms | 14 - 22 MB | CPU
|
| 95 |
+
| MobileNet-v2 | ONNX | w8a16_mixed_int16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.341 ms | 0 - 37 MB | NPU
|
| 96 |
+
| MobileNet-v2 | ONNX | w8a16_mixed_int16 | Snapdragon® 7 Gen 4 Mobile | 13.055 ms | 15 - 24 MB | CPU
|
| 97 |
+
| MobileNet-v2 | ONNX | w8a16_mixed_int16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.258 ms | 0 - 36 MB | NPU
|
| 98 |
+
| MobileNet-v2 | ONNX | w8a8 | Snapdragon® X2 Elite | 0.258 ms | 5 - 5 MB | NPU
|
| 99 |
+
| MobileNet-v2 | ONNX | w8a8 | Snapdragon® X Elite | 0.619 ms | 3 - 3 MB | NPU
|
| 100 |
+
| MobileNet-v2 | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.342 ms | 0 - 45 MB | NPU
|
| 101 |
+
| MobileNet-v2 | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.489 ms | 0 - 2 MB | NPU
|
| 102 |
+
| MobileNet-v2 | ONNX | w8a8 | Qualcomm® QCS9075 | 0.646 ms | 0 - 3 MB | NPU
|
| 103 |
+
| MobileNet-v2 | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.3 ms | 0 - 30 MB | NPU
|
| 104 |
+
| MobileNet-v2 | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.272 ms | 0 - 35 MB | NPU
|
| 105 |
+
| MobileNet-v2 | QNN_DLC | float | Snapdragon® X2 Elite | 0.519 ms | 1 - 1 MB | NPU
|
| 106 |
+
| MobileNet-v2 | QNN_DLC | float | Snapdragon® X Elite | 1.136 ms | 1 - 1 MB | NPU
|
| 107 |
+
| MobileNet-v2 | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 0.605 ms | 0 - 51 MB | NPU
|
| 108 |
+
| MobileNet-v2 | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 2.725 ms | 1 - 31 MB | NPU
|
| 109 |
+
| MobileNet-v2 | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 0.941 ms | 1 - 32 MB | NPU
|
| 110 |
+
| MobileNet-v2 | QNN_DLC | float | Qualcomm® SA8775P | 1.254 ms | 1 - 33 MB | NPU
|
| 111 |
+
| MobileNet-v2 | QNN_DLC | float | Qualcomm® QCS9075 | 1.13 ms | 1 - 3 MB | NPU
|
| 112 |
+
| MobileNet-v2 | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 1.712 ms | 0 - 54 MB | NPU
|
| 113 |
+
| MobileNet-v2 | QNN_DLC | float | Qualcomm® SA7255P | 2.725 ms | 1 - 31 MB | NPU
|
| 114 |
+
| MobileNet-v2 | QNN_DLC | float | Qualcomm® SA8295P | 1.509 ms | 0 - 30 MB | NPU
|
| 115 |
+
| MobileNet-v2 | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.459 ms | 1 - 31 MB | NPU
|
| 116 |
+
| MobileNet-v2 | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.356 ms | 1 - 36 MB | NPU
|
| 117 |
+
| MobileNet-v2 | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 0.483 ms | 0 - 0 MB | NPU
|
| 118 |
+
| MobileNet-v2 | QNN_DLC | w8a16 | Snapdragon® X Elite | 0.961 ms | 0 - 0 MB | NPU
|
| 119 |
+
| MobileNet-v2 | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.573 ms | 0 - 40 MB | NPU
|
| 120 |
+
| MobileNet-v2 | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 2.375 ms | 2 - 4 MB | NPU
|
| 121 |
+
| MobileNet-v2 | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 1.788 ms | 0 - 29 MB | NPU
|
| 122 |
+
| MobileNet-v2 | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 0.809 ms | 0 - 2 MB | NPU
|
| 123 |
+
| MobileNet-v2 | QNN_DLC | w8a16 | Qualcomm® SA8775P | 4.31 ms | 0 - 30 MB | NPU
|
| 124 |
+
| MobileNet-v2 | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 0.992 ms | 0 - 2 MB | NPU
|
| 125 |
+
| MobileNet-v2 | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 3.372 ms | 0 - 142 MB | NPU
|
| 126 |
+
| MobileNet-v2 | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 0.99 ms | 0 - 43 MB | NPU
|
| 127 |
+
| MobileNet-v2 | QNN_DLC | w8a16 | Qualcomm® SA7255P | 1.788 ms | 0 - 29 MB | NPU
|
| 128 |
+
| MobileNet-v2 | QNN_DLC | w8a16 | Qualcomm® SA8295P | 1.271 ms | 0 - 27 MB | NPU
|
| 129 |
+
| MobileNet-v2 | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.384 ms | 0 - 27 MB | NPU
|
| 130 |
+
| MobileNet-v2 | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 0.862 ms | 0 - 141 MB | NPU
|
| 131 |
+
| MobileNet-v2 | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.298 ms | 0 - 32 MB | NPU
|
| 132 |
+
| MobileNet-v2 | QNN_DLC | w8a16_mixed_int16 | Snapdragon® X2 Elite | 0.465 ms | 0 - 0 MB | NPU
|
| 133 |
+
| MobileNet-v2 | QNN_DLC | w8a16_mixed_int16 | Snapdragon® X Elite | 1.031 ms | 0 - 0 MB | NPU
|
| 134 |
+
| MobileNet-v2 | QNN_DLC | w8a16_mixed_int16 | Snapdragon® 8 Gen 3 Mobile | 0.62 ms | 0 - 41 MB | NPU
|
| 135 |
+
| MobileNet-v2 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® QCS8275 (Proxy) | 1.958 ms | 0 - 29 MB | NPU
|
| 136 |
+
| MobileNet-v2 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® QCS8550 (Proxy) | 0.861 ms | 0 - 2 MB | NPU
|
| 137 |
+
| MobileNet-v2 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® SA8775P | 4.629 ms | 0 - 30 MB | NPU
|
| 138 |
+
| MobileNet-v2 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® QCS9075 | 1.03 ms | 2 - 4 MB | NPU
|
| 139 |
+
| MobileNet-v2 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® QCM6690 | 4.76 ms | 0 - 142 MB | NPU
|
| 140 |
+
| MobileNet-v2 | QNN_DLC | w8a16_mixed_int16 | Qualcomm® SA7255P | 1.958 ms | 0 - 29 MB | NPU
|
| 141 |
+
| MobileNet-v2 | QNN_DLC | w8a16_mixed_int16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.415 ms | 0 - 33 MB | NPU
|
| 142 |
+
| MobileNet-v2 | QNN_DLC | w8a16_mixed_int16 | Snapdragon® 7 Gen 4 Mobile | 0.99 ms | 0 - 142 MB | NPU
|
| 143 |
+
| MobileNet-v2 | QNN_DLC | w8a16_mixed_int16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.319 ms | 0 - 33 MB | NPU
|
| 144 |
+
| MobileNet-v2 | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 0.276 ms | 0 - 0 MB | NPU
|
| 145 |
+
| MobileNet-v2 | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.555 ms | 0 - 0 MB | NPU
|
| 146 |
+
| MobileNet-v2 | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.308 ms | 0 - 40 MB | NPU
|
| 147 |
+
| MobileNet-v2 | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 1.355 ms | 0 - 2 MB | NPU
|
| 148 |
+
| MobileNet-v2 | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 1.027 ms | 0 - 30 MB | NPU
|
| 149 |
+
| MobileNet-v2 | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.438 ms | 0 - 2 MB | NPU
|
| 150 |
+
| MobileNet-v2 | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.619 ms | 0 - 30 MB | NPU
|
| 151 |
+
| MobileNet-v2 | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 0.538 ms | 0 - 2 MB | NPU
|
| 152 |
+
| MobileNet-v2 | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 1.739 ms | 0 - 28 MB | NPU
|
| 153 |
+
| MobileNet-v2 | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.595 ms | 0 - 42 MB | NPU
|
| 154 |
+
| MobileNet-v2 | QNN_DLC | w8a8 | Qualcomm® SA7255P | 1.027 ms | 0 - 30 MB | NPU
|
| 155 |
+
| MobileNet-v2 | QNN_DLC | w8a8 | Qualcomm® SA8295P | 0.809 ms | 0 - 27 MB | NPU
|
| 156 |
+
| MobileNet-v2 | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.215 ms | 0 - 32 MB | NPU
|
| 157 |
+
| MobileNet-v2 | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.466 ms | 0 - 28 MB | NPU
|
| 158 |
+
| MobileNet-v2 | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.18 ms | 0 - 32 MB | NPU
|
| 159 |
+
| MobileNet-v2 | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 0.594 ms | 0 - 56 MB | NPU
|
| 160 |
+
| MobileNet-v2 | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 2.731 ms | 0 - 35 MB | NPU
|
| 161 |
+
| MobileNet-v2 | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 0.925 ms | 0 - 2 MB | NPU
|
| 162 |
+
| MobileNet-v2 | TFLITE | float | Qualcomm® SA8775P | 1.265 ms | 0 - 37 MB | NPU
|
| 163 |
+
| MobileNet-v2 | TFLITE | float | Qualcomm® QCS9075 | 1.127 ms | 0 - 10 MB | NPU
|
| 164 |
+
| MobileNet-v2 | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 1.721 ms | 0 - 57 MB | NPU
|
| 165 |
+
| MobileNet-v2 | TFLITE | float | Qualcomm® SA7255P | 2.731 ms | 0 - 35 MB | NPU
|
| 166 |
+
| MobileNet-v2 | TFLITE | float | Qualcomm® SA8295P | 1.497 ms | 0 - 32 MB | NPU
|
| 167 |
+
| MobileNet-v2 | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 0.451 ms | 0 - 39 MB | NPU
|
| 168 |
+
| MobileNet-v2 | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 0.35 ms | 0 - 39 MB | NPU
|
| 169 |
+
| MobileNet-v2 | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.285 ms | 0 - 42 MB | NPU
|
| 170 |
+
| MobileNet-v2 | TFLITE | w8a8 | Qualcomm® QCS6490 | 1.178 ms | 0 - 7 MB | NPU
|
| 171 |
+
| MobileNet-v2 | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 0.992 ms | 0 - 31 MB | NPU
|
| 172 |
+
| MobileNet-v2 | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.415 ms | 0 - 2 MB | NPU
|
| 173 |
+
| MobileNet-v2 | TFLITE | w8a8 | Qualcomm® SA8775P | 0.618 ms | 0 - 32 MB | NPU
|
| 174 |
+
| MobileNet-v2 | TFLITE | w8a8 | Qualcomm® QCS9075 | 0.535 ms | 0 - 6 MB | NPU
|
| 175 |
+
| MobileNet-v2 | TFLITE | w8a8 | Qualcomm® QCM6690 | 1.654 ms | 0 - 29 MB | NPU
|
| 176 |
+
| MobileNet-v2 | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.541 ms | 0 - 45 MB | NPU
|
| 177 |
+
| MobileNet-v2 | TFLITE | w8a8 | Qualcomm® SA7255P | 0.992 ms | 0 - 31 MB | NPU
|
| 178 |
+
| MobileNet-v2 | TFLITE | w8a8 | Qualcomm® SA8295P | 0.793 ms | 0 - 28 MB | NPU
|
| 179 |
+
| MobileNet-v2 | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.212 ms | 0 - 29 MB | NPU
|
| 180 |
| MobileNet-v2 | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.421 ms | 0 - 28 MB | NPU
|
| 181 |
+
| MobileNet-v2 | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.187 ms | 0 - 34 MB | NPU
|
| 182 |
|
| 183 |
## License
|
| 184 |
* The license for the original implementation of MobileNet-v2 can be found
|