v0.60.0
Browse filesSee https://github.com/qualcomm/ai-hub-models/releases/v0.60.0 for changelog.
- README.md +148 -135
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README.md
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Segformer Base is a machine learning model that predicts masks and classes of objects in an image.
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This is based on the implementation of Segformer-Base found [here](https://github.com/huggingface/transformers/tree/main/src/transformers/models/segformer).
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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 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/segformer_base/releases/v0.
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| 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/segformer_base/releases/v0.
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| ONNX | w8a8 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/segformer_base/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/segformer_base/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/segformer_base/releases/v0.
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| QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/segformer_base/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/segformer_base/releases/v0.
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| TFLITE | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/segformer_base/releases/v0.
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For more device-specific assets and performance metrics, visit **[Segformer-Base on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/segformer_base)**.
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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 [Segformer-Base on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.
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## Model Details
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**Model Type:** Model_use_case.semantic_segmentation
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**Model Stats:**
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- Model checkpoint: nvidia/segformer-b0-finetuned-ade-512-512
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- Input resolution: 512x512
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- Number of parameters: 3.75M
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- Model size (float): 14.4 MB
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- Model size (w8a16): 4.57 MB
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- Model size (w8a8): 3.90 MB
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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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| Segformer-Base | ONNX | float | Snapdragon® X2 Elite | 13.
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| Segformer-Base | ONNX | float | Snapdragon® X Elite | 24.
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| Segformer-Base | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 17.
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| Segformer-Base | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 24.
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| Segformer-Base | ONNX | float | Qualcomm® Dragonwing™
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| Segformer-Base | ONNX | float | Qualcomm®
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| Segformer-Base | ONNX | float | Qualcomm® Dragonwing™ IQ-
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| Segformer-Base | ONNX | w8a16 | Qualcomm® Dragonwing™
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| Segformer-Base | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-
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| Segformer-Base | ONNX | w8a8 | Qualcomm® Dragonwing™
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| Segformer-Base | QNN_DLC | float | Qualcomm® Dragonwing™
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| Segformer-Base | QNN_DLC | float | Qualcomm®
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| Segformer-Base | QNN_DLC | w8a8 | Qualcomm® Dragonwing™
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| Segformer-Base | QNN_DLC | w8a8 | Qualcomm® Dragonwing™
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| Segformer-Base | TFLITE | w8a8 | Qualcomm® SA8295P | 12.854 ms | 2 - 184 MB | NPU
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| Segformer-Base | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 5.
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| Segformer-Base | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 4.
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| Segformer-Base | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile |
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## License
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* The license for the original implementation of Segformer-Base can be found
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Segformer Base is a machine learning model that predicts masks and classes of objects in an image.
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This is based on the implementation of Segformer-Base found [here](https://github.com/huggingface/transformers/tree/main/src/transformers/models/segformer).
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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/v0.60.0/src/qai_hub_models/models/segformer_base) 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 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/segformer_base/releases/v0.60.0/segformer_base-onnx-float.zip)
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| 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/segformer_base/releases/v0.60.0/segformer_base-onnx-w8a16.zip)
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| ONNX | w8a8 | Universal | QAIRT 2.45, ONNX Runtime 1.27.1 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/segformer_base/releases/v0.60.0/segformer_base-onnx-w8a8.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/segformer_base/releases/v0.60.0/segformer_base-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/segformer_base/releases/v0.60.0/segformer_base-qnn_dlc-w8a16.zip)
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| QNN_DLC | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/segformer_base/releases/v0.60.0/segformer_base-qnn_dlc-w8a8.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/segformer_base/releases/v0.60.0/segformer_base-tflite-float.zip)
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| TFLITE | w8a8 | Universal | QAIRT 2.45 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/segformer_base/releases/v0.60.0/segformer_base-tflite-w8a8.zip)
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For more device-specific assets and performance metrics, visit **[Segformer-Base on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/segformer_base)**.
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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/v0.60.0/src/qai_hub_models/models/segformer_base) 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 [Segformer-Base on GitHub](https://github.com/qualcomm/ai-hub-models/blob/v0.60.0/src/qai_hub_models/models/segformer_base) for usage instructions.
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## Model Details
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**Model Type:** Model_use_case.semantic_segmentation
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**Model Stats:**
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- Input resolution: 512x512
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- Model checkpoint: nvidia/segformer-b0-finetuned-ade-512-512
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- Model size (float): 14.4 MB
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- Model size (w8a16): 4.57 MB
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- Model size (w8a8): 3.90 MB
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- Number of output classes: 150
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- Number of parameters: 3.75M
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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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| Segformer-Base | ONNX | float | Snapdragon® X2 Elite | 13.576 ms | 35 - 35 MB | NPU
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| Segformer-Base | ONNX | float | Snapdragon® X Elite | 24.569 ms | 35 - 35 MB | NPU
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| Segformer-Base | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 17.327 ms | 24 - 241 MB | NPU
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| Segformer-Base | ONNX | float | Snapdragon® 8 Gen 1 Mobile | 24.66 ms | 0 - 222 MB | NPU
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| Segformer-Base | ONNX | float | Qualcomm® Dragonwing™ IQ-8275 | 24.361 ms | 22 - 25 MB | NPU
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| Segformer-Base | ONNX | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 23.66 ms | 0 - 138 MB | NPU
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| Segformer-Base | ONNX | float | Qualcomm® QCS8450 | 24.66 ms | 0 - 222 MB | NPU
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| Segformer-Base | ONNX | float | Qualcomm® Dragonwing™ IQ-9075 | 25.656 ms | 23 - 26 MB | NPU
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| Segformer-Base | ONNX | float | Qualcomm® Dragonwing™ IQ-X7181 | 24.569 ms | 35 - 35 MB | NPU
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| Segformer-Base | ONNX | float | Qualcomm® Dragonwing™ Q-8750 | 14.417 ms | 20 - 211 MB | NPU
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| Segformer-Base | ONNX | float | Snapdragon® 8 Elite Mobile | 14.417 ms | 20 - 211 MB | NPU
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| Segformer-Base | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 13.269 ms | 21 - 213 MB | NPU
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| Segformer-Base | ONNX | w8a16 | Snapdragon® X2 Elite | 5.599 ms | 18 - 18 MB | NPU
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| Segformer-Base | ONNX | w8a16 | Snapdragon® X Elite | 13.599 ms | 17 - 17 MB | NPU
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| Segformer-Base | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 9.427 ms | 13 - 243 MB | NPU
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| Segformer-Base | ONNX | w8a16 | Snapdragon® 8 Gen 1 Mobile | 17.796 ms | 11 - 244 MB | NPU
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| Segformer-Base | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS6490 | 54.107 ms | 14 - 16 MB | NPU
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| Segformer-Base | ONNX | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 13.36 ms | 9 - 15 MB | NPU
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| Segformer-Base | ONNX | w8a16 | Qualcomm® QCS8450 | 17.796 ms | 11 - 244 MB | NPU
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| Segformer-Base | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 14.482 ms | 13 - 15 MB | NPU
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| Segformer-Base | ONNX | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 13.599 ms | 17 - 17 MB | NPU
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| Segformer-Base | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 92.765 ms | 12 - 240 MB | NPU
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| Segformer-Base | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 17.112 ms | 13 - 234 MB | NPU
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| Segformer-Base | ONNX | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 7.285 ms | 13 - 213 MB | NPU
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| 94 |
+
| Segformer-Base | ONNX | w8a16 | Snapdragon® 8 Elite Mobile | 7.285 ms | 13 - 213 MB | NPU
|
| 95 |
+
| Segformer-Base | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 5.669 ms | 13 - 218 MB | NPU
|
| 96 |
+
| Segformer-Base | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 17.112 ms | 13 - 234 MB | NPU
|
| 97 |
+
| Segformer-Base | ONNX | w8a8 | Snapdragon® X2 Elite | 1.927 ms | 9 - 9 MB | NPU
|
| 98 |
+
| Segformer-Base | ONNX | w8a8 | Snapdragon® X Elite | 5.011 ms | 5 - 5 MB | NPU
|
| 99 |
+
| Segformer-Base | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 3.222 ms | 0 - 213 MB | NPU
|
| 100 |
+
| Segformer-Base | ONNX | w8a8 | Snapdragon® 8 Gen 1 Mobile | 7.095 ms | 0 - 216 MB | NPU
|
| 101 |
+
| Segformer-Base | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 19.53 ms | 7 - 9 MB | NPU
|
| 102 |
+
| Segformer-Base | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 4.625 ms | 5 - 9 MB | NPU
|
| 103 |
+
| Segformer-Base | ONNX | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 4.757 ms | 5 - 11 MB | NPU
|
| 104 |
+
| Segformer-Base | ONNX | w8a8 | Qualcomm® QCS8450 | 7.095 ms | 0 - 216 MB | NPU
|
| 105 |
+
| Segformer-Base | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 5.15 ms | 8 - 11 MB | NPU
|
| 106 |
+
| Segformer-Base | ONNX | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 5.011 ms | 5 - 5 MB | NPU
|
| 107 |
+
| Segformer-Base | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 30.773 ms | 7 - 235 MB | NPU
|
| 108 |
+
| Segformer-Base | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 5.411 ms | 9 - 205 MB | NPU
|
| 109 |
+
| Segformer-Base | ONNX | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 2.392 ms | 0 - 190 MB | NPU
|
| 110 |
+
| Segformer-Base | ONNX | w8a8 | Snapdragon® 8 Elite Mobile | 2.392 ms | 0 - 190 MB | NPU
|
| 111 |
+
| Segformer-Base | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 1.912 ms | 0 - 193 MB | NPU
|
| 112 |
+
| Segformer-Base | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 5.411 ms | 9 - 205 MB | NPU
|
| 113 |
+
| Segformer-Base | QNN_DLC | float | Snapdragon® X2 Elite | 12.515 ms | 3 - 3 MB | NPU
|
| 114 |
+
| Segformer-Base | QNN_DLC | float | Snapdragon® X Elite | 23.562 ms | 3 - 3 MB | NPU
|
| 115 |
+
| Segformer-Base | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 16.284 ms | 3 - 229 MB | NPU
|
| 116 |
+
| Segformer-Base | QNN_DLC | float | Snapdragon® 8 Gen 1 Mobile | 29.599 ms | 3 - 227 MB | NPU
|
| 117 |
+
| Segformer-Base | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 23.26 ms | 3 - 18 MB | NPU
|
| 118 |
+
| Segformer-Base | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-8275 | 48.86 ms | 1 - 190 MB | NPU
|
| 119 |
+
| Segformer-Base | QNN_DLC | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 22.478 ms | 3 - 5 MB | NPU
|
| 120 |
+
| Segformer-Base | QNN_DLC | float | Qualcomm® SA8775P | 24.416 ms | 1 - 193 MB | NPU
|
| 121 |
+
| Segformer-Base | QNN_DLC | float | Qualcomm® SA8650P | 24.416 ms | 1 - 193 MB | NPU
|
| 122 |
+
| Segformer-Base | QNN_DLC | float | Qualcomm® SA8255P | 24.416 ms | 1 - 193 MB | NPU
|
| 123 |
+
| Segformer-Base | QNN_DLC | float | Qualcomm® QCS8450 | 29.599 ms | 3 - 227 MB | NPU
|
| 124 |
+
| Segformer-Base | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-9075 | 25.029 ms | 5 - 19 MB | NPU
|
| 125 |
+
| Segformer-Base | QNN_DLC | float | Qualcomm® Dragonwing™ IQ-X7181 | 23.562 ms | 3 - 3 MB | NPU
|
| 126 |
+
| Segformer-Base | QNN_DLC | float | Qualcomm® Dragonwing™ Q-8750 | 13.194 ms | 0 - 197 MB | NPU
|
| 127 |
+
| Segformer-Base | QNN_DLC | float | Qualcomm® SA7255P | 48.86 ms | 1 - 190 MB | NPU
|
| 128 |
+
| Segformer-Base | QNN_DLC | float | Qualcomm® SA8295P | 27.83 ms | 0 - 187 MB | NPU
|
| 129 |
+
| Segformer-Base | QNN_DLC | float | Snapdragon® 8 Elite Mobile | 13.194 ms | 0 - 197 MB | NPU
|
| 130 |
+
| Segformer-Base | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 13.66 ms | 3 - 196 MB | NPU
|
| 131 |
+
| Segformer-Base | QNN_DLC | w8a16 | Snapdragon® X2 Elite | 8.956 ms | 2 - 2 MB | NPU
|
| 132 |
+
| Segformer-Base | QNN_DLC | w8a16 | Snapdragon® X Elite | 19.51 ms | 2 - 2 MB | NPU
|
| 133 |
+
| Segformer-Base | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 15.413 ms | 2 - 239 MB | NPU
|
| 134 |
+
| Segformer-Base | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 19.414 ms | 0 - 9 MB | NPU
|
| 135 |
+
| Segformer-Base | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-8275 | 32.475 ms | 2 - 204 MB | NPU
|
| 136 |
+
| Segformer-Base | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 20.351 ms | 2 - 3 MB | NPU
|
| 137 |
+
| Segformer-Base | QNN_DLC | w8a16 | Qualcomm® SA8775P | 20.197 ms | 2 - 206 MB | NPU
|
| 138 |
+
| Segformer-Base | QNN_DLC | w8a16 | Qualcomm® SA8650P | 20.197 ms | 2 - 206 MB | NPU
|
| 139 |
+
| Segformer-Base | QNN_DLC | w8a16 | Qualcomm® SA8255P | 20.197 ms | 2 - 206 MB | NPU
|
| 140 |
+
| Segformer-Base | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-9075 | 20.551 ms | 1 - 9 MB | NPU
|
| 141 |
+
| Segformer-Base | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ IQ-X7181 | 19.51 ms | 2 - 2 MB | NPU
|
| 142 |
+
| Segformer-Base | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-6690 | 108.126 ms | 2 - 256 MB | NPU
|
| 143 |
+
| Segformer-Base | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-7790 | 34.055 ms | 2 - 232 MB | NPU
|
| 144 |
+
| Segformer-Base | QNN_DLC | w8a16 | Qualcomm® Dragonwing™ Q-8750 | 11.23 ms | 1 - 207 MB | NPU
|
| 145 |
+
| Segformer-Base | QNN_DLC | w8a16 | Qualcomm® SA7255P | 32.475 ms | 2 - 204 MB | NPU
|
| 146 |
+
| Segformer-Base | QNN_DLC | w8a16 | Snapdragon® 8 Elite Mobile | 11.23 ms | 1 - 207 MB | NPU
|
| 147 |
+
| Segformer-Base | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 9.767 ms | 2 - 217 MB | NPU
|
| 148 |
+
| Segformer-Base | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 34.055 ms | 2 - 232 MB | NPU
|
| 149 |
+
| Segformer-Base | QNN_DLC | w8a8 | Snapdragon® X2 Elite | 2.57 ms | 1 - 1 MB | NPU
|
| 150 |
+
| Segformer-Base | QNN_DLC | w8a8 | Snapdragon® X Elite | 6.298 ms | 1 - 1 MB | NPU
|
| 151 |
+
| Segformer-Base | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 3.956 ms | 0 - 196 MB | NPU
|
| 152 |
+
| Segformer-Base | QNN_DLC | w8a8 | Snapdragon® 8 Gen 1 Mobile | 8.639 ms | 0 - 198 MB | NPU
|
| 153 |
+
| Segformer-Base | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 21.771 ms | 1 - 6 MB | NPU
|
| 154 |
+
| Segformer-Base | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 5.502 ms | 0 - 5 MB | NPU
|
| 155 |
+
| Segformer-Base | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 10.836 ms | 1 - 174 MB | NPU
|
| 156 |
+
| Segformer-Base | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 5.777 ms | 1 - 4 MB | NPU
|
| 157 |
+
| Segformer-Base | QNN_DLC | w8a8 | Qualcomm® SA8775P | 6.391 ms | 1 - 176 MB | NPU
|
| 158 |
+
| Segformer-Base | QNN_DLC | w8a8 | Qualcomm® SA8650P | 6.391 ms | 1 - 176 MB | NPU
|
| 159 |
+
| Segformer-Base | QNN_DLC | w8a8 | Qualcomm® SA8255P | 6.391 ms | 1 - 176 MB | NPU
|
| 160 |
+
| Segformer-Base | QNN_DLC | w8a8 | Qualcomm® QCS8450 | 8.639 ms | 0 - 198 MB | NPU
|
| 161 |
+
| Segformer-Base | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 6.149 ms | 1 - 6 MB | NPU
|
| 162 |
+
| Segformer-Base | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ IQ-X7181 | 6.298 ms | 1 - 1 MB | NPU
|
| 163 |
+
| Segformer-Base | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 37.04 ms | 2 - 189 MB | NPU
|
| 164 |
+
| Segformer-Base | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 6.842 ms | 0 - 179 MB | NPU
|
| 165 |
+
| Segformer-Base | QNN_DLC | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 2.838 ms | 0 - 176 MB | NPU
|
| 166 |
+
| Segformer-Base | QNN_DLC | w8a8 | Qualcomm® SA7255P | 10.836 ms | 1 - 174 MB | NPU
|
| 167 |
+
| Segformer-Base | QNN_DLC | w8a8 | Qualcomm® SA8295P | 7.795 ms | 0 - 172 MB | NPU
|
| 168 |
+
| Segformer-Base | QNN_DLC | w8a8 | Snapdragon® 8 Elite Mobile | 2.838 ms | 0 - 176 MB | NPU
|
| 169 |
+
| Segformer-Base | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 2.247 ms | 1 - 184 MB | NPU
|
| 170 |
+
| Segformer-Base | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 6.842 ms | 0 - 179 MB | NPU
|
| 171 |
+
| Segformer-Base | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 16.445 ms | 9 - 237 MB | NPU
|
| 172 |
+
| Segformer-Base | TFLITE | float | Snapdragon® 8 Gen 1 Mobile | 29.286 ms | 9 - 234 MB | NPU
|
| 173 |
+
| Segformer-Base | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 23.296 ms | 9 - 32 MB | NPU
|
| 174 |
+
| Segformer-Base | TFLITE | float | Qualcomm® Dragonwing™ IQ-8275 | 48.967 ms | 10 - 200 MB | NPU
|
| 175 |
+
| Segformer-Base | TFLITE | float | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 22.72 ms | 8 - 12 MB | NPU
|
| 176 |
+
| Segformer-Base | TFLITE | float | Qualcomm® SA8775P | 24.485 ms | 9 - 202 MB | NPU
|
| 177 |
+
| Segformer-Base | TFLITE | float | Qualcomm® SA8650P | 24.485 ms | 9 - 202 MB | NPU
|
| 178 |
+
| Segformer-Base | TFLITE | float | Qualcomm® SA8255P | 24.485 ms | 9 - 202 MB | NPU
|
| 179 |
+
| Segformer-Base | TFLITE | float | Qualcomm® QCS8450 | 29.286 ms | 9 - 234 MB | NPU
|
| 180 |
+
| Segformer-Base | TFLITE | float | Qualcomm® Dragonwing™ IQ-9075 | 29.123 ms | 8 - 31 MB | NPU
|
| 181 |
+
| Segformer-Base | TFLITE | float | Qualcomm® Dragonwing™ Q-8750 | 13.394 ms | 8 - 204 MB | NPU
|
| 182 |
+
| Segformer-Base | TFLITE | float | Qualcomm® SA7255P | 48.967 ms | 10 - 200 MB | NPU
|
| 183 |
+
| Segformer-Base | TFLITE | float | Qualcomm® SA8295P | 27.854 ms | 10 - 202 MB | NPU
|
| 184 |
+
| Segformer-Base | TFLITE | float | Snapdragon® 8 Elite Mobile | 13.394 ms | 8 - 204 MB | NPU
|
| 185 |
+
| Segformer-Base | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 13.704 ms | 8 - 199 MB | NPU
|
| 186 |
+
| Segformer-Base | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 7.092 ms | 1 - 207 MB | NPU
|
| 187 |
+
| Segformer-Base | TFLITE | w8a8 | Snapdragon® 8 Gen 1 Mobile | 11.995 ms | 2 - 208 MB | NPU
|
| 188 |
+
| Segformer-Base | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS6490 | 134.208 ms | 13 - 48 MB | NPU
|
| 189 |
+
| Segformer-Base | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 9.58 ms | 2 - 13 MB | NPU
|
| 190 |
+
| Segformer-Base | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-8275 | 18.273 ms | 2 - 178 MB | NPU
|
| 191 |
+
| Segformer-Base | TFLITE | w8a8 | Qualcomm® Dragonwing™ QCS8550 (Proxy) | 10.126 ms | 2 - 5 MB | NPU
|
| 192 |
+
| Segformer-Base | TFLITE | w8a8 | Qualcomm® SA8775P | 10.907 ms | 2 - 183 MB | NPU
|
| 193 |
+
| Segformer-Base | TFLITE | w8a8 | Qualcomm® SA8650P | 10.907 ms | 2 - 183 MB | NPU
|
| 194 |
+
| Segformer-Base | TFLITE | w8a8 | Qualcomm® SA8255P | 10.907 ms | 2 - 183 MB | NPU
|
| 195 |
+
| Segformer-Base | TFLITE | w8a8 | Qualcomm® QCS8450 | 11.995 ms | 2 - 208 MB | NPU
|
| 196 |
+
| Segformer-Base | TFLITE | w8a8 | Qualcomm® Dragonwing™ IQ-9075 | 10.634 ms | 2 - 12 MB | NPU
|
| 197 |
+
| Segformer-Base | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-6690 | 97.214 ms | 13 - 186 MB | NPU
|
| 198 |
+
| Segformer-Base | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-7790 | 39.104 ms | 15 - 73 MB | NPU
|
| 199 |
+
| Segformer-Base | TFLITE | w8a8 | Qualcomm® Dragonwing™ Q-8750 | 5.908 ms | 1 - 175 MB | NPU
|
| 200 |
+
| Segformer-Base | TFLITE | w8a8 | Qualcomm® SA7255P | 18.273 ms | 2 - 178 MB | NPU
|
| 201 |
| Segformer-Base | TFLITE | w8a8 | Qualcomm® SA8295P | 12.854 ms | 2 - 184 MB | NPU
|
| 202 |
+
| Segformer-Base | TFLITE | w8a8 | Snapdragon® 8 Elite Mobile | 5.908 ms | 1 - 175 MB | NPU
|
| 203 |
+
| Segformer-Base | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 4.545 ms | 2 - 184 MB | NPU
|
| 204 |
+
| Segformer-Base | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 39.104 ms | 15 - 73 MB | NPU
|
| 205 |
|
| 206 |
## License
|
| 207 |
* The license for the original implementation of Segformer-Base can be found
|
release_assets.json
CHANGED
|
@@ -1,5 +1,5 @@
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|
| 1 |
{
|
| 2 |
-
"version": "0.
|
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"precisions": {
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"float": {
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"universal_assets": {
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@@ -8,19 +8,19 @@
|
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"qairt": "2.45.0.260326154327",
|
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"onnx_runtime": "1.27.1"
|
| 10 |
},
|
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-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/segformer_base/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/segformer_base/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/segformer_base/releases/v0.
|
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}
|
| 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/segformer_base/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/segformer_base/releases/v0.
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| 41 |
}
|
| 42 |
}
|
| 43 |
},
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|
@@ -48,19 +48,19 @@
|
|
| 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/segformer_base/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/segformer_base/releases/v0.
|
| 58 |
},
|
| 59 |
"tflite": {
|
| 60 |
"tool_versions": {
|
| 61 |
"qairt": "2.45.0.260326154327"
|
| 62 |
},
|
| 63 |
-
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/segformer_base/releases/v0.
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| 64 |
}
|
| 65 |
}
|
| 66 |
}
|
|
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|
| 1 |
{
|
| 2 |
+
"version": "0.60.0",
|
| 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/segformer_base/releases/v0.60.0/segformer_base-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/segformer_base/releases/v0.60.0/segformer_base-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/segformer_base/releases/v0.60.0/segformer_base-tflite-float.zip"
|
| 24 |
}
|
| 25 |
}
|
| 26 |
},
|
|
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|
| 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/segformer_base/releases/v0.60.0/segformer_base-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/segformer_base/releases/v0.60.0/segformer_base-qnn_dlc-w8a16.zip"
|
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}
|
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}
|
| 43 |
},
|
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| 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/segformer_base/releases/v0.60.0/segformer_base-onnx-w8a8.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/segformer_base/releases/v0.60.0/segformer_base-qnn_dlc-w8a8.zip"
|
| 58 |
},
|
| 59 |
"tflite": {
|
| 60 |
"tool_versions": {
|
| 61 |
"qairt": "2.45.0.260326154327"
|
| 62 |
},
|
| 63 |
+
"download_url": "https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/segformer_base/releases/v0.60.0/segformer_base-tflite-w8a8.zip"
|
| 64 |
}
|
| 65 |
}
|
| 66 |
}
|