Profile Job Results
Jobs
j5w3n33zp
Results Ready
Name
controlnet_canny_w8a16_controlnet
Target Device
- Snapdragon 8 Elite Gen 5 QRD
- Android 16
- Snapdragon® 8 Elite Gen 5 | SM8850
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
10/4/2025, 5:48:17 PM
Versions
- QAIRT: v2.38.0.250901140452_125126
- QNN Backend API: 5.38.0
- QNN Core API: 2.28.1
- Android: 16 (BQ2A.250705.001-BP2A.250605.031.A3)
- Build ID: Kaanapali.LA.1.0.r1-00850-STD.PROD-1
- AI Hub: aihub-2025.09.26.0
Estimated Inference Time
26.4 ms
Estimated Peak Memory Usage
2 ‑ 13 MB
Compute Units
NPU
690
| Stage | Time | Memory |
|---|---|---|
First App Load | 204 ms | 1‑7 MB |
Subsequent App Load | 203 ms | 7‑19 MB |
Inference | 26.4 ms | 2‑13 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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