Profile Job Results
Jobs
jp8mo1k85
Results Ready
Name
controlnet_canny_controlnet
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
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
9/27/2025, 12:54:57 PM
Versions
- QAIRT: v2.38.0.250901140452_125126
- QNN Backend API: 5.38.0
- QNN Core API: 2.28.1
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.09.23.1
Estimated Inference Time
59.2 ms
Estimated Peak Memory Usage
2 ‑ 4 MB
Compute Units
NPU
677
| Stage | Time | Memory |
|---|---|---|
First App Load | 424 ms | 1‑2 MB |
Subsequent App Load | 310 ms | 1‑2 MB |
Inference | 59.2 ms | 2‑4 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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