Profile Job Results
Jobs
jgj21ny85
Results Ready
Name
ffnet_40s
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 1024, 2048, 3]Completion Time
8/2/2025, 9:10:53 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.34.2.250528164111_119506
- QNN TfLite Delegate: v2.34.2.250528164111_119506
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.07.25.0
Estimated Inference Time
44.1 ms
Estimated Peak Memory Usage
2 ‑ 60 MB
Compute Units
NPU
94
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.21 s | 232‑233 MB |
Subsequent App Load | 2.13 s | 258‑260 MB |
Inference | 44.1 ms | 2‑60 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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