Profile Job Results
Jobs
jmg9l4m8g
Results Ready
Name
controlnet_quantized_ControlNet_Quantized
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input_1: float32[1, 64, 64, 4]input_2: float32[1, 1280]input_3: float32[1, 77, 768]input_4: float32[1, 512, 512, 3]Completion Time
3/19/2024, 12:38:52 AM
Versions
- QNN: v2.19.0.240124133650_81096
- QNN Backend API: 5.19.0
- QNN Core API: 2.13.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2024.03.07.0
Estimated Inference Time
76.9 ms
Estimated Peak Memory Usage
0 - 533 MB
Compute Units
NPU
2406
| Stage | Time | Memory |
|---|---|---|
First App Load | 271 ms | 1-8 MB |
Subsequent App Load | 282 ms | 1-10 MB |
Inference | 76.9 ms | 0-533 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
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