Profile Job Results
Jobs
jp274e7m5
Results Ready
Name
fcn_resnet50
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
image: uint8[1, 520, 520, 3]Completion Time
4/5/2026, 9:03:48 AM
Versions
- QAIRT: v2.43.0.260127150333_193827
- QNN Backend API: 5.43.0
- QNN Core API: 2.32.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.03.29.0
Estimated Inference Time
11.4 ms
Estimated Peak Memory Usage
1 ‑ 267 MB
Compute Units
NPU
131
| Stage | Time | Memory |
|---|---|---|
First App Load | 4.38 s | 230‑237 MB |
Subsequent App Load | 160 ms | 53‑320 MB |
Inference | 11.4 ms | 1‑267 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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