Profile Job Results
Jobs
jpv1e63mp
Results Ready
Name
maskrcnn_roi_head
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
proposals_boxes: float32[1, 200, 4]features_0: float32[1, 200, 200, 256]features_1: float32[1, 100, 100, 256]features_2: float32[1, 50, 50, 256]features_3: float32[1, 25, 25, 256]Completion Time
4/4/2026, 7:33:42 PM
Versions
- QAIRT: v2.43.0.260127150333_193827
- QNN Backend API: 5.43.0
- 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-2026.03.29.0
Estimated Inference Time
582 ms
Estimated Peak Memory Usage
42 ‑ 858 MB
Compute Units
NPU
265
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.81 min | 682‑688 MB |
Subsequent App Load | 648 ms | 1‑817 MB |
Inference | 582 ms | 42‑858 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device