Profile Job Results
Jobs
jpew9x78p
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
9/28/2025, 6:46:54 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.38.0.250901140452_125126
- QNN TfLite Delegate: v2.38.0.250901140452_125126
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.09.23.1
Estimated Inference Time
31.5 ms
Estimated Peak Memory Usage
0 ‑ 20 MB
Compute Units
NPU
257
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.72 s | 248‑249 MB |
Subsequent App Load | 1.71 s | 277‑280 MB |
Inference | 31.5 ms | 0‑20 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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