Profile Job Results
Jobs
jgnevmorg
Results Ready
Name
fcn_resnet50_w8a8
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
1/11/2026, 3:05:20 AM
Options
--qairt_version latestVersions
- QAIRT: v2.41.0.251128145156_191518
- QNN Backend API: 5.41.0
- QNN Core API: 2.31.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
10.3 ms
Estimated Peak Memory Usage
1 ‑ 246 MB
Compute Units
NPU
132
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.86 s | 253‑260 MB |
Subsequent App Load | 150 ms | 0‑244 MB |
Inference | 10.3 ms | 1‑246 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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