Profile Job Results
Jobs
jp29n99xg
Results Ready
Name
controlnet_canny_w8a16_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
10/4/2025, 3:38:51 PM
Versions
- QAIRT: v2.38.0.250901140452_125126
- QNN Backend API: 5.38.0
- QNN Core API: 2.28.1
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
84.4 ms
Estimated Peak Memory Usage
13 ‑ 31 MB
Compute Units
NPU
3413
| Stage | Time | Memory |
|---|---|---|
First App Load | 430 ms | 1‑9 MB |
Subsequent App Load | 415 ms | 1‑8 MB |
Inference | 84.4 ms | 13‑31 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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