Profile Job Results
Jobs
jp49vjd25
Results Ready
Name
track_anything_segment
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
f16: float32[1, 1024, 20, 36]f8: float32[1, 512, 40, 72]f4: float32[1, 256, 80, 144]memory_readout: float32[1, 1, 512, 20, 36]hidden_state: float32[1, 1, 64, 20, 36]Completion Time
7/7/2026, 4:58:23 AM
Versions
- LiteRT: 1.4.4
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.07.02.0
Estimated Inference Time
17.3 ms
Estimated Peak Memory Usage
2 ‑ 291 MB
Compute Units
NPU
120
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.60 s | 685‑692 MB |
Subsequent App Load | 207 ms | 23‑312 MB |
Inference | 17.3 ms | 2‑291 MB |
| Lite RT | 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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