Profile Job Results
Jobs
jo5m2327p
Results Ready
Name
controlnet_quantized_ControlNet_Quantized
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input_1: uint16[1, 64, 64, 4]input_2: uint16[1, 1280]input_3: uint16[1, 77, 768]input_4: uint16[1, 512, 512, 3]Completion Time
10/3/2024, 11:24:21 PM
Versions
- QNN: v2.26.0.240827110523_99241
- QNN Backend API: 5.26.0
- QNN Core API: 2.19.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2024.10.01.0
Estimated Inference Time
104 ms
Estimated Peak Memory Usage
2 ‑ 3 MB
Compute Units
NPU
2405
| Stage | Time | Memory |
|---|---|---|
First App Load | 485 ms | 2‑3 MB |
Subsequent App Load | 470 ms | 5‑6 MB |
Inference | 104 ms | 2‑3 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
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