Profile Job Results
Jobs
jz57wxwnp
Results Ready
Name
controlnet_quantized_TextEncoder_Quantized
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input_1: int32[1, 77]Completion Time
10/3/2024, 11:22:21 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
11.0 ms
Estimated Peak Memory Usage
0 ‑ 1 MB
Compute Units
NPU
569
| Stage | Time | Memory |
|---|---|---|
First App Load | 316 ms | 1‑2 MB |
Subsequent App Load | 237 ms | 1‑2 MB |
Inference | 11.0 ms | 0‑1 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
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