Profile Job Results
Jobs
j5q3r1n4p
Results Ready
Name
quicksrnetlarge_float
Target Device
- SA8650 (Proxy)
- Android 13
- Qualcomm® SA8650P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: float32[1, 128, 128, 3]Completion Time
10/25/2025, 7:48:32 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.39.0.250925215840_163802
- QNN TfLite Delegate: v2.39.0.250925215840_163802
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
2.24 ms
Estimated Peak Memory Usage
0 ‑ 5 MB
Compute Units
NPU
33
| Stage | Time | Memory |
|---|---|---|
First App Load | 449 ms | 84‑85 MB |
Subsequent App Load | 452 ms | 81‑83 MB |
Inference | 2.24 ms | 0‑5 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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