Profile Job Results
Jobs
j57dd9w95
Results Ready
Name
mediapipe_hand_float_HandDetector
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 256, 256, 3]Completion Time
2/1/2026, 2:08:00 AM
Versions
- QAIRT: v2.42.0.251225135753_193295
- QNN Backend API: 5.41.0
- QNN Core API: 2.32.0
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
1.27 ms
Estimated Peak Memory Usage
1 ‑ 43 MB
Compute Units
NPU
197
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.66 s | 76‑82 MB |
Subsequent App Load | 313 ms | 0‑43 MB |
Inference | 1.27 ms | 1‑43 MB |
| QNN | Value |
|---|---|
| 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 |
| device_options.htp_options[0].device_id | 1 |
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