Profile Job Results
Jobs
jp2k1w36p
Results Ready
Name
mediapipe_face_quantized_MediaPipeFaceDetector
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 256, 256, 3]Completion Time
1/8/2025, 6:08:15 AM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.2.241116104011_103376
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.01.04.0
Estimated Inference Time
279 μs
Estimated Peak Memory Usage
0 ‑ 12 MB
Compute Units
NPU
121
| Stage | Time | Memory |
|---|---|---|
First App Load | 401 ms | 30‑31 MB |
Subsequent App Load | 500 ms | 32‑33 MB |
Inference | 279 μs | 0‑12 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.performance_mode | kHtpBurst |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
Sign up to run this model on a hosted Qualcomm® device!
Run on device