Profile Job Results
Jobs
jgl0m7xlg
Results Ready
Name
salsanext
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
lidar: float32[1, 64, 2048, 5]Completion Time
3/14/2026, 7:45:10 PM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.03.09.0
Estimated Inference Time
30.6 ms
Estimated Peak Memory Usage
6 ‑ 8 MB
Compute Units
NPU
257
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.55 s | 229‑230 MB |
Subsequent App Load | 223 ms | 3‑106 MB |
Inference | 30.6 ms | 6‑8 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.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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