Profile Job Results
Jobs
jpxd60v9g
Results Ready
Name
nasnet
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image_tensor: float32[1, 331, 331, 3]Completion Time
7/6/2026, 10:53:50 AM
Versions
- LiteRT: 1.4.4
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.06.19.2
Estimated Inference Time
89.6 ms
Estimated Peak Memory Usage
0 ‑ 538 MB
Compute Units
NPU
784
| Stage | Time | Memory |
|---|---|---|
First App Load | 45.0 s | 576‑584 MB |
Subsequent App Load | 1.25 s | 183‑723 MB |
Inference | 89.6 ms | 0‑538 MB |
| Lite RT | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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