Profile Job Results
Jobs
j5w2e7lj5
Results Ready
Name
fcn_resnet50
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]Completion Time
4/8/2025, 5:12:17 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.32.0.250228225014_116386
- QNN TfLite Delegate: v2.32.0.250228225014_116386
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.03.24.0
Estimated Inference Time
14.9 s
Estimated Peak Memory Usage
0 ‑ 14 MB
Compute Units
NPU
90
| Stage | Time | Memory |
|---|---|---|
First App Load | 18.6 min | 311‑312 MB |
Subsequent App Load | 21.7 min | 208‑210 MB |
Inference | 14.9 s | 0‑14 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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