qualcomm
/

MediaPipe-Face-Detection

Object Detection

PyTorch

TF Lite

real_time

android

Model card Files Files and versions Community

qaihm-bot commited on 20 days ago

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524c739

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1 Parent(s): 41d784a

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@@ -37,10 +37,10 @@ More details on model performance across various devices, can be found
 | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
 | ---|---|---|---|---|---|---|---|
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 0.547 ms | 0 - 1 MB | FP16 | NPU |  [MediaPipeFaceDetector.tflite](https://huggingface.co/qualcomm/MediaPipe-Face-Detection/blob/main/MediaPipeFaceDetector.tflite)
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 0.189 ms | 0 - 1 MB | FP16 | NPU |  [MediaPipeFaceLandmarkDetector.tflite](https://huggingface.co/qualcomm/MediaPipe-Face-Detection/blob/main/MediaPipeFaceLandmarkDetector.tflite)
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.622 ms | 0 - 6 MB | FP16 | NPU |  [MediaPipeFaceDetector.so](https://huggingface.co/qualcomm/MediaPipe-Face-Detection/blob/main/MediaPipeFaceDetector.so)
-| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.286 ms | 0 - 3 MB | FP16 | NPU |  [MediaPipeFaceLandmarkDetector.so](https://huggingface.co/qualcomm/MediaPipe-Face-Detection/blob/main/MediaPipeFaceLandmarkDetector.so)
@@ -109,8 +109,8 @@ Compute Units: NPU (146) | Total (146)
 Profile Job summary of MediaPipeFaceLandmarkDetector
 --------------------------------------------------
 Device: Snapdragon X Elite CRD (11)
-Estimated Inference Time: 0.46 ms
-Estimated Peak Memory Range: 1.39-1.39 MB
 Compute Units: NPU (105) | Total (105)

 | Device | Chipset | Target Runtime | Inference Time (ms) | Peak Memory Range (MB) | Precision | Primary Compute Unit | Target Model
 | ---|---|---|---|---|---|---|---|
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 0.552 ms | 0 - 1 MB | FP16 | NPU |  [MediaPipeFaceDetector.tflite](https://huggingface.co/qualcomm/MediaPipe-Face-Detection/blob/main/MediaPipeFaceDetector.tflite)
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | TFLite | 0.193 ms | 0 - 4 MB | FP16 | NPU |  [MediaPipeFaceLandmarkDetector.tflite](https://huggingface.co/qualcomm/MediaPipe-Face-Detection/blob/main/MediaPipeFaceLandmarkDetector.tflite)
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.622 ms | 0 - 5 MB | FP16 | NPU |  [MediaPipeFaceDetector.so](https://huggingface.co/qualcomm/MediaPipe-Face-Detection/blob/main/MediaPipeFaceDetector.so)
+| Samsung Galaxy S23 Ultra (Android 13) | Snapdragon® 8 Gen 2 | QNN Model Library | 0.277 ms | 0 - 8 MB | FP16 | NPU |  [MediaPipeFaceLandmarkDetector.so](https://huggingface.co/qualcomm/MediaPipe-Face-Detection/blob/main/MediaPipeFaceLandmarkDetector.so)
 Profile Job summary of MediaPipeFaceLandmarkDetector
 --------------------------------------------------
 Device: Snapdragon X Elite CRD (11)
+Estimated Inference Time: 0.38 ms
+Estimated Peak Memory Range: 0.42-0.42 MB
 Compute Units: NPU (105) | Total (105)