Profile Job Results
Jobs
jp31ev3xg
Results Ready
Name
controlnet_canny_text_encoder
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
tokens: int32[1, 77]Completion Time
7/16/2025, 1:15:12 AM
Versions
- QAIRT: v2.34.2.250528164111_119506-auto
- QNN Backend API: 5.34.0
- QNN Core API: 2.25.0
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
- AI Hub: aihub-2025.07.12.0
Estimated Inference Time
5.90 ms
Estimated Peak Memory Usage
0 ‑ 10 MB
Compute Units
NPU
438
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.34 s | 1‑10 MB |
Subsequent App Load | 1.32 s | 0‑11 MB |
Inference | 5.90 ms | 0‑10 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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