Profile Job Results
Jobs
j5mzxxj7p
Results Ready
Name
mediapipe_hand_float_HandLandmarkDetector
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 256, 256, 3]Completion Time
1/10/2026, 11:23:48 PM
Options
--qairt_version latestVersions
- QAIRT: v2.41.0.251128145156_191518
- QNN Backend API: 5.41.0
- QNN Core API: 2.31.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
998 μs
Estimated Peak Memory Usage
1 ‑ 3 MB
Compute Units
NPU
211
| Stage | Time | Memory |
|---|---|---|
First App Load | 867 ms | 164‑166 MB |
Subsequent App Load | 173 ms | 0‑3 MB |
Inference | 998 μs | 1‑3 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 |
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