Profile Job Results
Jobs
j56zne6vg
Results Ready
Name
controlnet_canny_controlnet
Target Device
- Samsung Galaxy S23
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
latent: uint16[1, 64, 64, 4]timestep: uint16[1, 1]text_emb: uint16[1, 77, 768]image_cond: uint16[1, 512, 512, 3]Completion Time
7/16/2025, 1:09:11 AM
Versions
- QAIRT: v2.34.2.250528164111_119506
- QNN Backend API: 5.34.0
- QNN Core API: 2.25.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.07.12.0
Estimated Inference Time
83.4 ms
Estimated Peak Memory Usage
2 ‑ 5 MB
Compute Units
NPU
664
| Stage | Time | Memory |
|---|---|---|
First App Load | 618 ms | 2‑3 MB |
Subsequent App Load | 495 ms | 1‑8 MB |
Inference | 83.4 ms | 2‑5 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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