Profile Job Results
Jobs
jp0jnx66g
Results Ready
Name
mediapipe_face_face_landmark_detector
Target Device
- Arduino VENTUNO Q
- Ubuntu 24.04
- Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: uint8[1, 192, 192, 3]Completion Time
9/5/2026, 2:41:01 PM
Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Qualcomm Linux: 24.04
- AI Hub: aihub-2026.08.28.1
Estimated Inference Time
323 μs
Estimated Peak Memory Usage
0 ‑ 2 MB
Compute Units
NPU
104
| Stage | Time | Memory |
|---|---|---|
First App Load | 803 ms | 91‑92 MB |
Subsequent App Load | 226 ms | 2 MB |
Inference | 323 μs | 0‑2 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.optimizations[0].type | FINALIZE_OPTIMIZATION_FLAG |
| default_graph_options.htp_options.optimizations[0].value | 3.0 |
| default_graph_options.htp_options.precision | FLOAT16 |
| default_graph_options.htp_options.vtcm_size | 0 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device