Profile Job Results
Jobs
jpew3wk7p
Results Ready
Name
controlnet_canny_w8a16_controlnet
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
text_emb: uint16[1, 77, 768]image_cond: uint16[1, 512, 512, 3]latent: uint16[1, 64, 64, 4]timestep: uint16[1, 1]Completion Time
10/5/2025, 1:55:41 AM
Versions
- QAIRT: v2.38.0.250901140452_125126-auto
- QNN Backend API: 5.38.0
- QNN Core API: 2.28.1
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
57.3 ms
Estimated Peak Memory Usage
2 ‑ 12 MB
Compute Units
NPU
690
| Stage | Time | Memory |
|---|---|---|
First App Load | 555 ms | 2‑11 MB |
Subsequent App Load | 540 ms | 10‑20 MB |
Inference | 57.3 ms | 2‑12 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device