Profile Job Results
Jobs
j5q6z3l7p
Results Ready
Name
fcn_resnet50
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 520, 520, 3]Completion Time
11/26/2024, 1:51:40 PM
Versions
- TensorFlow Lite: 2.17.0
- QNN TfLite Delegate: v2.28.0.241029232508_102474-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00011-STD.PROD-1.89321.2
- AI Hub: aihub-2024.11.22.0
Estimated Inference Time
2.07 s
Estimated Peak Memory Usage
0 ‑ 86 MB
Compute Units
NPU
88
| Stage | Time | Memory |
|---|---|---|
First App Load | 20.7 s | 635‑641 MB |
Subsequent App Load | 22.2 s | 709‑836 MB |
Inference | 2.07 s | 0‑86 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
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