Profile Job Results
Jobs
jgdvlwnlg
Results Ready
Name
maskrcnn_MaskRCNNROIHead
Target Device
- Snapdragon 8 Elite Gen 5 QRD
- Android 16
- Snapdragon® 8 Elite Gen 5 | SM8850
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
3/14/2026, 7:48:40 AM
Versions
- QAIRT: v2.43.0.260127150333_193827
- QNN Backend API: 5.43.0
- QNN Core API: 2.32.0
- Android: 16 (BQ2A.251217.002-BP2A.250705.008)
- Build ID: Kaanapali.LA.1.0.r1-01100-STD.PROD-1
- AI Hub: aihub-2026.03.09.0
Estimated Inference Time
93.5 ms
Estimated Peak Memory Usage
51 ‑ 854 MB
Compute Units
NPU
266
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.06 min | 685‑692 MB |
Subsequent App Load | 158 ms | 1‑805 MB |
Inference | 93.5 ms | 51‑854 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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