Profile Job Results
Jobs
jgjl7qyep
Results Ready
Name
resnet_mixed
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video: float32[1, 16, 112, 112, 3]Completion Time
2/21/2026, 9:35:39 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.02.14.0
Estimated Inference Time
586 ms
Estimated Peak Memory Usage
0 ‑ 248 MB
Compute Units
NPU
57
| Stage | Time | Memory |
|---|---|---|
First App Load | 26.8 s | 276‑282 MB |
Subsequent App Load | 529 ms | 25‑275 MB |
Inference | 586 ms | 0‑248 MB |
| TensorFlow Lite | 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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