Profile Job Results
Jobs
jglkx2vjp
Results Ready
Name
mediapipe_face_FaceLandmarkDetector
Target Device
- QCS8450 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 192, 192, 3]Completion Time
2/22/2026, 3:18:10 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.02.14.0
Estimated Inference Time
313 μs
Estimated Peak Memory Usage
0 ‑ 38 MB
Compute Units
NPU
100
| Stage | Time | Memory |
|---|---|---|
First App Load | 549 ms | 43‑51 MB |
Subsequent App Load | 172 ms | 0‑40 MB |
Inference | 313 μs | 0‑38 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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