Profile Job Results
Jobs
jpvr37nm5
Results Ready
Name
controlnet_canny_vae
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
latent: uint16[1, 64, 64, 4]Completion Time
9/27/2025, 12:55:27 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-2025.09.23.1
Estimated Inference Time
222 ms
Estimated Peak Memory Usage
0 ‑ 3 MB
Compute Units
NPU
172
| Stage | Time | Memory |
|---|---|---|
First App Load | 345 ms | 1‑2 MB |
Subsequent App Load | 303 ms | 1‑2 MB |
Inference | 222 ms | 0‑3 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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