Profile Job Results
Jobs
jp1yovrlp
Results Ready
Name
fcn_resnet50
Target Device
- Samsung Galaxy S23
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 520, 520, 3]Completion Time
5/21/2025, 3:23:00 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.6.250402152434_116405
- QNN TfLite Delegate: v2.32.6.250402152434_116405
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.05.14.0
Estimated Inference Time
47.5 ms
Estimated Peak Memory Usage
0 ‑ 24 MB
Compute Units
NPU
88
| Stage | Time | Memory |
|---|---|---|
First App Load | 5.89 s | 463‑464 MB |
Subsequent App Load | 5.72 s | 478‑480 MB |
Inference | 47.5 ms | 0‑24 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.performance_mode | kHtpBurst |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
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