Profile Job Results
Jobs
jgz77yn6p
Results Ready
Name
fcn_resnet50_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, 520, 520, 3]Completion Time
2/1/2026, 4:58:14 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
23.2 ms
Estimated Peak Memory Usage
3 ‑ 330 MB
Compute Units
NPU
131
| Stage | Time | Memory |
|---|---|---|
First App Load | 16.9 s | 592‑599 MB |
Subsequent App Load | 120 ms | 0‑329 MB |
Inference | 23.2 ms | 3‑330 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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