Profile Job Results
Jobs
jgdv1xnlg
Results Ready
Name
mediapipe_face_float_FaceLandmarkDetector
Target Device
- Samsung Galaxy S25
- Android 15
- Snapdragon® 8 Elite for Galaxy | SM8750-AC
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 192, 192, 3]Completion Time
1/11/2026, 5:08:37 AM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.41.0.251128145156_191518
- QNN TfLite Delegate: v2.41.0.251128145156_191518
- Android: 15 (AP3A.240905.015.A2)
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
130 μs
Estimated Peak Memory Usage
0 ‑ 121 MB
Compute Units
NPU
100
| Stage | Time | Memory |
|---|---|---|
First App Load | 324 ms | 101‑109 MB |
Subsequent App Load | 89.3 ms | 2‑122 MB |
Inference | 130 μs | 0‑121 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.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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