Profile Job Results
Jobs
jg94vkvl5
Results Ready
Name
controlnet_canny_unet
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
timestep: uint16[1, 1]latent: uint16[1, 64, 64, 4]text_emb: uint16[1, 77, 768]controlnet_downblock0: uint16[1, 64, 64, 320]controlnet_downblock1: uint16[1, 64, 64, 320]controlnet_downblock2: uint16[1, 64, 64, 320]controlnet_downblock3: uint16[1, 32, 32, 320]controlnet_downblock4: uint16[1, 32, 32, 640]controlnet_downblock5: uint16[1, 32, 32, 640]controlnet_downblock6: uint16[1, 16, 16, 640]controlnet_downblock7: uint16[1, 16, 16, 1280]controlnet_downblock8: uint16[1, 16, 16, 1280]controlnet_downblock9: uint16[1, 8, 8, 1280]controlnet_downblock10: uint16[1, 8, 8, 1280]controlnet_downblock11: uint16[1, 8, 8, 1280]controlnet_midblock: uint16[1, 8, 8, 1280]Completion Time
3/7/2026, 8:01:33 AM
Versions
- QAIRT: v2.43.0.260127150333_193827
- QNN Backend API: 5.43.0
- QNN Core API: 2.32.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.02.26.0
Estimated Inference Time
80.6 ms
Estimated Peak Memory Usage
13 ‑ 21 MB
Compute Units
NPU
3540
| Stage | Time | Memory |
|---|---|---|
First App Load | 456 ms | 2‑8 MB |
Subsequent App Load | 425 ms | 1‑9 MB |
Inference | 80.6 ms | 13‑21 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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