Profile Job Results
Jobs
jglkx88jp
Results Ready
Name
salsanext
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
lidar: float32[1, 64, 2048, 5]Completion Time
2/21/2026, 10:56:39 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
117 ms
Estimated Peak Memory Usage
10 ‑ 188 MB
Compute Units
NPU
257
| Stage | Time | Memory |
|---|---|---|
First App Load | 10.1 s | 282‑287 MB |
Subsequent App Load | 531 ms | 17‑196 MB |
Inference | 117 ms | 10‑188 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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