Profile Job Results
Jobs
jp4vdy3lp
Results Ready
Name
salsanext_float
Target Device
- Snapdragon 8 Elite Gen 5 QRD
- Android 16
- Snapdragon® 8 Elite Gen 5 | SM8850
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
lidar: float32[1, 64, 2048, 5]Completion Time
10/25/2025, 6:11:14 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.39.0.250925215840_163802
- QNN TfLite Delegate: v2.39.0.250925215840_163802
- Android: 16 (BQ2A.250705.001-BP2A.250605.031.A3)
- Build ID: Kaanapali.LA.1.0.r1-00850-STD.PROD-1
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
16.4 ms
Estimated Peak Memory Usage
9 ‑ 55 MB
Compute Units
NPU
257
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.20 s | 382‑389 MB |
Subsequent App Load | 1.20 s | 210‑332 MB |
Inference | 16.4 ms | 9‑55 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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