Profile Job Results
Jobs
jp1ex967g
Results Ready
Name
salsanext_float
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
lidar: float32[1, 64, 2048, 5]Completion Time
1/10/2026, 8:00:50 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.41.0.251128145156_191518
- QNN TfLite Delegate: v2.41.0.251128145156_191518
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
25.5 ms
Estimated Peak Memory Usage
8 ‑ 255 MB
Compute Units
NPU
257
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.91 s | 287‑294 MB |
Subsequent App Load | 144 ms | 15‑260 MB |
Inference | 25.5 ms | 8‑255 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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