v0.46.1
Browse filesSee https://github.com/quic/ai-hub-models/releases/v0.46.1 for changelog.
- Lightweight-Face-Detection_float.dlc +0 -3
- Lightweight-Face-Detection_float.onnx.zip +0 -3
- Lightweight-Face-Detection_float.tflite +0 -3
- Lightweight-Face-Detection_w8a16.dlc +0 -3
- Lightweight-Face-Detection_w8a16.onnx.zip +0 -3
- Lightweight-Face-Detection_w8a8.dlc +0 -3
- Lightweight-Face-Detection_w8a8.onnx.zip +0 -3
- Lightweight-Face-Detection_w8a8.tflite +0 -3
- README.md +161 -280
- tool-versions.yaml +0 -4
Lightweight-Face-Detection_float.dlc
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README.md
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# Lightweight-Face-Detection: Optimized for
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## Lightweight and efficient face detector
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A small and accurate model for detecting bounding boxes for faces in images. This model's architecture was developed by Qualcomm. The model was trained by Qualcomm on a proprietary dataset of faces, but can be used on any image.
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```
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## How does this work?
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This [export script](https://aihub.qualcomm.com/models/face_det_lite/qai_hub_models/models/Lightweight-Face-Detection/export.py)
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leverages [Qualcomm® AI Hub](https://aihub.qualcomm.com/) to optimize, validate, and deploy this model
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on-device. Lets go through each step below in detail:
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Step 1: **Compile model for on-device deployment**
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To compile a PyTorch model for on-device deployment, we first trace the model
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in memory using the `jit.trace` and then call the `submit_compile_job` API.
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from qai_hub_models.models.face_det_lite import Model
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# Load the model
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provisioned in the cloud. Once the job is submitted, you can navigate to a
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spot check the output with expected output.
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AI Hub Workbench. [Sign up for access](https://myaccount.qualcomm.com/signup).
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## Run demo on a cloud-hosted device
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You can also run the demo on-device.
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## Deploying compiled model to Android
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The models can be deployed using multiple runtimes:
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app](https://docs.qualcomm.com/bundle/publicresource/topics/80-63442-50/sample_app.html)
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## View on Qualcomm® AI Hub
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Get more details on Lightweight-Face-Detection's performance across various devices [here](https://aihub.qualcomm.com/models/face_det_lite).
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Explore all available models on [Qualcomm® AI Hub](https://aihub.qualcomm.com/)
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## License
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* The license for the original implementation of Lightweight-Face-Detection can be found
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## Community
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* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
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* For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).
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# Lightweight-Face-Detection: Optimized for Qualcomm Devices
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A small and accurate model for detecting bounding boxes for faces in images. This model's architecture was developed by Qualcomm. The model was trained by Qualcomm on a proprietary dataset of faces, but can be used on any image.
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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/quic/ai-hub-models/blob/main/qai_hub_models/models/face_det_lite) 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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## Getting Started
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There are two ways to deploy this model on your device:
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### Option 1: Download Pre-Exported Models
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Below are pre-exported model assets ready for deployment.
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| Runtime | Precision | Chipset | SDK Versions | Download |
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|---|---|---|---|---|
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| ONNX | float | Universal | QAIRT 2.37, ONNX Runtime 1.23.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/face_det_lite/releases/v0.46.1/face_det_lite-onnx-float.zip)
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| ONNX | w8a16 | Universal | QAIRT 2.37, ONNX Runtime 1.23.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/face_det_lite/releases/v0.46.1/face_det_lite-onnx-w8a16.zip)
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| ONNX | w8a16_mixed_int16 | Universal | QAIRT 2.37, ONNX Runtime 1.23.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/face_det_lite/releases/v0.46.1/face_det_lite-onnx-w8a16_mixed_int16.zip)
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| ONNX | w8a8 | Universal | QAIRT 2.37, ONNX Runtime 1.23.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/face_det_lite/releases/v0.46.1/face_det_lite-onnx-w8a8.zip)
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| QNN_DLC | float | Universal | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/face_det_lite/releases/v0.46.1/face_det_lite-qnn_dlc-float.zip)
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| QNN_DLC | w8a16 | Universal | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/face_det_lite/releases/v0.46.1/face_det_lite-qnn_dlc-w8a16.zip)
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| QNN_DLC | w8a16_mixed_int16 | Universal | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/face_det_lite/releases/v0.46.1/face_det_lite-qnn_dlc-w8a16_mixed_int16.zip)
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| QNN_DLC | w8a8 | Universal | QAIRT 2.42 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/face_det_lite/releases/v0.46.1/face_det_lite-qnn_dlc-w8a8.zip)
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| 39 |
+
| TFLITE | float | Universal | QAIRT 2.42, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/face_det_lite/releases/v0.46.1/face_det_lite-tflite-float.zip)
|
| 40 |
+
| TFLITE | w8a8 | Universal | QAIRT 2.42, TFLite 2.17.0 | [Download](https://qaihub-public-assets.s3.us-west-2.amazonaws.com/qai-hub-models/models/face_det_lite/releases/v0.46.1/face_det_lite-tflite-w8a8.zip)
|
| 41 |
+
|
| 42 |
+
For more device-specific assets and performance metrics, visit **[Lightweight-Face-Detection on Qualcomm® AI Hub](https://aihub.qualcomm.com/models/face_det_lite)**.
|
| 43 |
+
|
| 44 |
+
|
| 45 |
+
### Option 2: Export with Custom Configurations
|
| 46 |
+
|
| 47 |
+
Use the [Qualcomm® AI Hub Models](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/face_det_lite) Python library to compile and export the model with your own:
|
| 48 |
+
- Custom weights (e.g., fine-tuned checkpoints)
|
| 49 |
+
- Custom input shapes
|
| 50 |
+
- Target device and runtime configurations
|
| 51 |
+
|
| 52 |
+
This option is ideal if you need to customize the model beyond the default configuration provided here.
|
| 53 |
+
|
| 54 |
+
See our repository for [Lightweight-Face-Detection on GitHub](https://github.com/quic/ai-hub-models/blob/main/qai_hub_models/models/face_det_lite) for usage instructions.
|
| 55 |
+
|
| 56 |
+
## Model Details
|
| 57 |
+
|
| 58 |
+
**Model Type:** Model_use_case.object_detection
|
| 59 |
+
|
| 60 |
+
**Model Stats:**
|
| 61 |
+
- Model checkpoint: qfd360_sl_model.pt
|
| 62 |
+
- Inference latency: RealTime
|
| 63 |
+
- Input resolution: 480x640
|
| 64 |
+
- Number of parameters: 878K
|
| 65 |
+
- Model size (float): 3.37 MB
|
| 66 |
+
- Model size (w8a8): 965 KB
|
| 67 |
+
- Model size (w8a16): 1.09 MB
|
| 68 |
+
|
| 69 |
+
## Performance Summary
|
| 70 |
+
| Model | Runtime | Precision | Chipset | Inference Time (ms) | Peak Memory Range (MB) | Primary Compute Unit
|
| 71 |
+
|---|---|---|---|---|---|---
|
| 72 |
+
| Lightweight-Face-Detection | ONNX | float | Snapdragon® X Elite | 2.462 ms | 1 - 1 MB | NPU
|
| 73 |
+
| Lightweight-Face-Detection | ONNX | float | Snapdragon® 8 Gen 3 Mobile | 1.408 ms | 0 - 112 MB | NPU
|
| 74 |
+
| Lightweight-Face-Detection | ONNX | float | Qualcomm® QCS8550 (Proxy) | 2.706 ms | 0 - 7 MB | NPU
|
| 75 |
+
| Lightweight-Face-Detection | ONNX | float | Qualcomm® QCS9075 | 2.694 ms | 1 - 4 MB | NPU
|
| 76 |
+
| Lightweight-Face-Detection | ONNX | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.217 ms | 0 - 96 MB | NPU
|
| 77 |
+
| Lightweight-Face-Detection | ONNX | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.256 ms | 0 - 103 MB | NPU
|
| 78 |
+
| Lightweight-Face-Detection | ONNX | w8a16 | Snapdragon® X Elite | 1.944 ms | 1 - 1 MB | NPU
|
| 79 |
+
| Lightweight-Face-Detection | ONNX | w8a16 | Snapdragon® 8 Gen 3 Mobile | 1.189 ms | 0 - 114 MB | NPU
|
| 80 |
+
| Lightweight-Face-Detection | ONNX | w8a16 | Qualcomm® QCS6490 | 87.108 ms | 29 - 32 MB | CPU
|
| 81 |
+
| Lightweight-Face-Detection | ONNX | w8a16 | Qualcomm® QCS8550 (Proxy) | 1.935 ms | 0 - 122 MB | NPU
|
| 82 |
+
| Lightweight-Face-Detection | ONNX | w8a16 | Qualcomm® QCS9075 | 2.412 ms | 0 - 3 MB | NPU
|
| 83 |
+
| Lightweight-Face-Detection | ONNX | w8a16 | Qualcomm® QCM6690 | 43.818 ms | 29 - 36 MB | CPU
|
| 84 |
+
| Lightweight-Face-Detection | ONNX | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.947 ms | 0 - 101 MB | NPU
|
| 85 |
+
| Lightweight-Face-Detection | ONNX | w8a16 | Snapdragon® 7 Gen 4 Mobile | 33.473 ms | 29 - 36 MB | CPU
|
| 86 |
+
| Lightweight-Face-Detection | ONNX | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.919 ms | 0 - 102 MB | NPU
|
| 87 |
+
| Lightweight-Face-Detection | ONNX | w8a16_mixed_int16 | Snapdragon® X Elite | 2.027 ms | 1 - 1 MB | NPU
|
| 88 |
+
| Lightweight-Face-Detection | ONNX | w8a16_mixed_int16 | Snapdragon® 8 Gen 3 Mobile | 1.248 ms | 0 - 111 MB | NPU
|
| 89 |
+
| Lightweight-Face-Detection | ONNX | w8a16_mixed_int16 | Qualcomm® QCS6490 | 91.198 ms | 28 - 32 MB | CPU
|
| 90 |
+
| Lightweight-Face-Detection | ONNX | w8a16_mixed_int16 | Qualcomm® QCS8550 (Proxy) | 2.063 ms | 0 - 8 MB | NPU
|
| 91 |
+
| Lightweight-Face-Detection | ONNX | w8a16_mixed_int16 | Qualcomm® QCS9075 | 2.288 ms | 0 - 3 MB | NPU
|
| 92 |
+
| Lightweight-Face-Detection | ONNX | w8a16_mixed_int16 | Qualcomm® QCM6690 | 43.997 ms | 28 - 35 MB | CPU
|
| 93 |
+
| Lightweight-Face-Detection | ONNX | w8a16_mixed_int16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.988 ms | 0 - 103 MB | NPU
|
| 94 |
+
| Lightweight-Face-Detection | ONNX | w8a16_mixed_int16 | Snapdragon® 7 Gen 4 Mobile | 33.242 ms | 30 - 37 MB | CPU
|
| 95 |
+
| Lightweight-Face-Detection | ONNX | w8a16_mixed_int16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.93 ms | 0 - 101 MB | NPU
|
| 96 |
+
| Lightweight-Face-Detection | ONNX | w8a8 | Snapdragon® X Elite | 0.554 ms | 0 - 0 MB | NPU
|
| 97 |
+
| Lightweight-Face-Detection | ONNX | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.474 ms | 0 - 107 MB | NPU
|
| 98 |
+
| Lightweight-Face-Detection | ONNX | w8a8 | Qualcomm® QCS6490 | 16.911 ms | 12 - 17 MB | CPU
|
| 99 |
+
| Lightweight-Face-Detection | ONNX | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.623 ms | 0 - 3 MB | NPU
|
| 100 |
+
| Lightweight-Face-Detection | ONNX | w8a8 | Qualcomm® QCS9075 | 0.838 ms | 0 - 3 MB | NPU
|
| 101 |
+
| Lightweight-Face-Detection | ONNX | w8a8 | Qualcomm® QCM6690 | 12.739 ms | 13 - 21 MB | CPU
|
| 102 |
+
| Lightweight-Face-Detection | ONNX | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.354 ms | 0 - 100 MB | NPU
|
| 103 |
+
| Lightweight-Face-Detection | ONNX | w8a8 | Snapdragon® 7 Gen 4 Mobile | 9.371 ms | 12 - 20 MB | CPU
|
| 104 |
+
| Lightweight-Face-Detection | ONNX | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.331 ms | 0 - 100 MB | NPU
|
| 105 |
+
| Lightweight-Face-Detection | QNN_DLC | float | Snapdragon® X Elite | 2.872 ms | 1 - 1 MB | NPU
|
| 106 |
+
| Lightweight-Face-Detection | QNN_DLC | float | Snapdragon® 8 Gen 3 Mobile | 1.621 ms | 0 - 42 MB | NPU
|
| 107 |
+
| Lightweight-Face-Detection | QNN_DLC | float | Qualcomm® QCS8275 (Proxy) | 6.779 ms | 1 - 29 MB | NPU
|
| 108 |
+
| Lightweight-Face-Detection | QNN_DLC | float | Qualcomm® QCS8550 (Proxy) | 2.602 ms | 1 - 24 MB | NPU
|
| 109 |
+
| Lightweight-Face-Detection | QNN_DLC | float | Qualcomm® SA8775P | 14.285 ms | 1 - 29 MB | NPU
|
| 110 |
+
| Lightweight-Face-Detection | QNN_DLC | float | Qualcomm® QCS9075 | 3.692 ms | 1 - 4 MB | NPU
|
| 111 |
+
| Lightweight-Face-Detection | QNN_DLC | float | Qualcomm® QCS8450 (Proxy) | 4.31 ms | 0 - 43 MB | NPU
|
| 112 |
+
| Lightweight-Face-Detection | QNN_DLC | float | Qualcomm® SA7255P | 6.779 ms | 1 - 29 MB | NPU
|
| 113 |
+
| Lightweight-Face-Detection | QNN_DLC | float | Qualcomm® SA8295P | 3.79 ms | 0 - 25 MB | NPU
|
| 114 |
+
| Lightweight-Face-Detection | QNN_DLC | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.218 ms | 1 - 34 MB | NPU
|
| 115 |
+
| Lightweight-Face-Detection | QNN_DLC | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.1 ms | 1 - 34 MB | NPU
|
| 116 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a16 | Snapdragon® X Elite | 1.909 ms | 1 - 1 MB | NPU
|
| 117 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a16 | Snapdragon® 8 Gen 3 Mobile | 0.939 ms | 0 - 155 MB | NPU
|
| 118 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a16 | Qualcomm® QCS6490 | 6.589 ms | 2 - 5 MB | NPU
|
| 119 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a16 | Qualcomm® QCS8275 (Proxy) | 2.989 ms | 1 - 139 MB | NPU
|
| 120 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a16 | Qualcomm® QCS8550 (Proxy) | 1.675 ms | 1 - 2 MB | NPU
|
| 121 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a16 | Qualcomm® SA8775P | 1.941 ms | 1 - 141 MB | NPU
|
| 122 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a16 | Qualcomm® QCS9075 | 2.171 ms | 2 - 5 MB | NPU
|
| 123 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a16 | Qualcomm® QCM6690 | 12.4 ms | 1 - 140 MB | NPU
|
| 124 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a16 | Qualcomm® QCS8450 (Proxy) | 2.894 ms | 1 - 155 MB | NPU
|
| 125 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a16 | Qualcomm® SA7255P | 2.989 ms | 1 - 139 MB | NPU
|
| 126 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a16 | Qualcomm® SA8295P | 2.34 ms | 1 - 137 MB | NPU
|
| 127 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.774 ms | 0 - 143 MB | NPU
|
| 128 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a16 | Snapdragon® 7 Gen 4 Mobile | 2.605 ms | 1 - 139 MB | NPU
|
| 129 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.713 ms | 1 - 143 MB | NPU
|
| 130 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a16_mixed_int16 | Snapdragon® X Elite | 1.979 ms | 1 - 1 MB | NPU
|
| 131 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a16_mixed_int16 | Snapdragon® 8 Gen 3 Mobile | 0.959 ms | 0 - 153 MB | NPU
|
| 132 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a16_mixed_int16 | Qualcomm® QCS8275 (Proxy) | 3.246 ms | 1 - 140 MB | NPU
|
| 133 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a16_mixed_int16 | Qualcomm® QCS8550 (Proxy) | 1.739 ms | 1 - 2 MB | NPU
|
| 134 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a16_mixed_int16 | Qualcomm® SA8775P | 1.957 ms | 0 - 142 MB | NPU
|
| 135 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a16_mixed_int16 | Qualcomm® QCS9075 | 2.37 ms | 0 - 3 MB | NPU
|
| 136 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a16_mixed_int16 | Qualcomm® QCM6690 | 14.536 ms | 1 - 140 MB | NPU
|
| 137 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a16_mixed_int16 | Qualcomm® SA7255P | 3.246 ms | 1 - 140 MB | NPU
|
| 138 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a16_mixed_int16 | Snapdragon® 8 Elite For Galaxy Mobile | 0.815 ms | 0 - 143 MB | NPU
|
| 139 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a16_mixed_int16 | Snapdragon® 7 Gen 4 Mobile | 2.629 ms | 1 - 139 MB | NPU
|
| 140 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a16_mixed_int16 | Snapdragon® 8 Elite Gen 5 Mobile | 0.756 ms | 1 - 143 MB | NPU
|
| 141 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a8 | Snapdragon® X Elite | 0.536 ms | 0 - 0 MB | NPU
|
| 142 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.276 ms | 0 - 34 MB | NPU
|
| 143 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a8 | Qualcomm® QCS6490 | 1.41 ms | 2 - 4 MB | NPU
|
| 144 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a8 | Qualcomm® QCS8275 (Proxy) | 1.081 ms | 0 - 26 MB | NPU
|
| 145 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.414 ms | 0 - 2 MB | NPU
|
| 146 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a8 | Qualcomm® SA8775P | 0.614 ms | 0 - 26 MB | NPU
|
| 147 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a8 | Qualcomm® QCS9075 | 0.553 ms | 0 - 2 MB | NPU
|
| 148 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a8 | Qualcomm® QCM6690 | 2.813 ms | 0 - 141 MB | NPU
|
| 149 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.499 ms | 0 - 36 MB | NPU
|
| 150 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a8 | Qualcomm® SA7255P | 1.081 ms | 0 - 26 MB | NPU
|
| 151 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a8 | Qualcomm® SA8295P | 0.823 ms | 0 - 23 MB | NPU
|
| 152 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.23 ms | 0 - 28 MB | NPU
|
| 153 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.487 ms | 0 - 138 MB | NPU
|
| 154 |
+
| Lightweight-Face-Detection | QNN_DLC | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.198 ms | 0 - 27 MB | NPU
|
| 155 |
+
| Lightweight-Face-Detection | TFLITE | float | Snapdragon® 8 Gen 3 Mobile | 1.633 ms | 0 - 43 MB | NPU
|
| 156 |
+
| Lightweight-Face-Detection | TFLITE | float | Qualcomm® QCS8275 (Proxy) | 6.711 ms | 0 - 29 MB | NPU
|
| 157 |
+
| Lightweight-Face-Detection | TFLITE | float | Qualcomm® QCS8550 (Proxy) | 2.607 ms | 0 - 59 MB | NPU
|
| 158 |
+
| Lightweight-Face-Detection | TFLITE | float | Qualcomm® SA8775P | 3.346 ms | 0 - 31 MB | NPU
|
| 159 |
+
| Lightweight-Face-Detection | TFLITE | float | Qualcomm® QCS9075 | 3.709 ms | 0 - 5 MB | NPU
|
| 160 |
+
| Lightweight-Face-Detection | TFLITE | float | Qualcomm® QCS8450 (Proxy) | 4.285 ms | 0 - 43 MB | NPU
|
| 161 |
+
| Lightweight-Face-Detection | TFLITE | float | Qualcomm® SA7255P | 6.711 ms | 0 - 29 MB | NPU
|
| 162 |
+
| Lightweight-Face-Detection | TFLITE | float | Qualcomm® SA8295P | 3.783 ms | 0 - 27 MB | NPU
|
| 163 |
+
| Lightweight-Face-Detection | TFLITE | float | Snapdragon® 8 Elite For Galaxy Mobile | 1.231 ms | 0 - 34 MB | NPU
|
| 164 |
+
| Lightweight-Face-Detection | TFLITE | float | Snapdragon® 8 Elite Gen 5 Mobile | 1.11 ms | 0 - 34 MB | NPU
|
| 165 |
+
| Lightweight-Face-Detection | TFLITE | w8a8 | Snapdragon® 8 Gen 3 Mobile | 0.284 ms | 0 - 34 MB | NPU
|
| 166 |
+
| Lightweight-Face-Detection | TFLITE | w8a8 | Qualcomm® QCS6490 | 1.412 ms | 0 - 3 MB | NPU
|
| 167 |
+
| Lightweight-Face-Detection | TFLITE | w8a8 | Qualcomm® QCS8275 (Proxy) | 1.126 ms | 0 - 24 MB | NPU
|
| 168 |
+
| Lightweight-Face-Detection | TFLITE | w8a8 | Qualcomm® QCS8550 (Proxy) | 0.411 ms | 0 - 1 MB | NPU
|
| 169 |
+
| Lightweight-Face-Detection | TFLITE | w8a8 | Qualcomm® SA8775P | 0.623 ms | 0 - 26 MB | NPU
|
| 170 |
+
| Lightweight-Face-Detection | TFLITE | w8a8 | Qualcomm® QCS9075 | 0.574 ms | 0 - 3 MB | NPU
|
| 171 |
+
| Lightweight-Face-Detection | TFLITE | w8a8 | Qualcomm® QCM6690 | 2.799 ms | 0 - 136 MB | NPU
|
| 172 |
+
| Lightweight-Face-Detection | TFLITE | w8a8 | Qualcomm® QCS8450 (Proxy) | 0.507 ms | 0 - 35 MB | NPU
|
| 173 |
+
| Lightweight-Face-Detection | TFLITE | w8a8 | Qualcomm® SA7255P | 1.126 ms | 0 - 24 MB | NPU
|
| 174 |
+
| Lightweight-Face-Detection | TFLITE | w8a8 | Qualcomm® SA8295P | 0.829 ms | 0 - 22 MB | NPU
|
| 175 |
+
| Lightweight-Face-Detection | TFLITE | w8a8 | Snapdragon® 8 Elite For Galaxy Mobile | 0.235 ms | 0 - 23 MB | NPU
|
| 176 |
+
| Lightweight-Face-Detection | TFLITE | w8a8 | Snapdragon® 7 Gen 4 Mobile | 0.496 ms | 0 - 136 MB | NPU
|
| 177 |
+
| Lightweight-Face-Detection | TFLITE | w8a8 | Snapdragon® 8 Elite Gen 5 Mobile | 0.197 ms | 0 - 27 MB | NPU
|
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| 178 |
|
| 179 |
## License
|
| 180 |
* The license for the original implementation of Lightweight-Face-Detection can be found
|
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|
| 182 |
|
| 183 |
|
| 184 |
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| 185 |
## Community
|
| 186 |
* Join [our AI Hub Slack community](https://aihub.qualcomm.com/community/slack) to collaborate, post questions and learn more about on-device AI.
|
| 187 |
* For questions or feedback please [reach out to us](mailto:ai-hub-support@qti.qualcomm.com).
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tool-versions.yaml
DELETED
|
@@ -1,4 +0,0 @@
|
|
| 1 |
-
tool_versions:
|
| 2 |
-
onnx:
|
| 3 |
-
qairt: 2.37.1.250807093845_124904
|
| 4 |
-
onnx_runtime: 1.23.0
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