Profile Job Results
Jobs
jp80qxokg
Results Ready
Name
face_det_lite
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input: uint8[1, 480, 640, 1]Completion Time
4/8/2025, 5:26:28 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386
- QNN TfLite Delegate: v2.32.0.250228225014_116386
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.03.24.0
Estimated Inference Time
437 μs
Estimated Peak Memory Usage
0 ‑ 7 MB
Compute Units
NPU
90
| Stage | Time | Memory |
|---|---|---|
First App Load | 338 ms | 87‑88 MB |
Subsequent App Load | 359 ms | 75‑77 MB |
Inference | 437 μs | 0‑7 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