Profile Job Results
Jobs
jpyddxn4p
Results Ready
Name
litehrnet_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
image: float32[1, 3, 256, 192]Completion Time
2/1/2026, 2:15:08 AM
Versions
- QAIRT: v2.42.0.251225135753_193295
- QNN Backend API: 5.41.0
- QNN Core API: 2.32.0
- Android: 16 (BQ2A.251217.002-BP2A.250705.008)
- Build ID: Kaanapali.LA.1.0.r1-01100-STD.PROD-1
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
847 μs
Estimated Peak Memory Usage
1 ‑ 84 MB
Compute Units
NPU
1058
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.81 s | 136‑143 MB |
Subsequent App Load | 89.2 ms | 1‑86 MB |
Inference | 847 μs | 1‑84 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.optimizations[0].type | FINALIZE_OPTIMIZATION_FLAG |
| default_graph_options.htp_options.optimizations[0].value | 3.0 |
| default_graph_options.htp_options.precision | FLOAT16 |
| default_graph_options.htp_options.vtcm_size | 0 |
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