Profile Job Results
Jobs
j5wq304z5
Results Ready
Name
mediapipe_face_w8a8_FaceLandmarkDetector
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 192, 192, 3]Completion Time
10/25/2025, 7:08:06 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.39.0.250925215840_163802
- QNN TfLite Delegate: v2.39.0.250925215840_163802
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
120 μs
Estimated Peak Memory Usage
0 ‑ 25 MB
Compute Units
NPU
108
| Stage | Time | Memory | 
|---|---|---|
| First App Load | 356 ms | 81‑89 MB | 
| Subsequent App Load | 368 ms | 87‑194 MB | 
| Inference | 120 μs | 0‑25 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 | 
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