Profile Job Results
Jobs
jgo3qjd1g
Results Ready
Name
resnet_2plus1d_float
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video: float32[1, 16, 112, 112, 3]Completion Time
1/10/2026, 8:34:58 PM
Options
--qairt_version latestVersions
- QAIRT: v2.41.0.251128145156_191518-auto
- QNN Backend API: 5.41.0
- QNN Core API: 2.31.0
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
81.9 ms
Estimated Peak Memory Usage
0 ‑ 181 MB
Compute Units
NPU
87
| Stage | Time | Memory |
|---|---|---|
First App Load | 27.2 s | 839‑848 MB |
Subsequent App Load | 599 ms | 1‑181 MB |
Inference | 81.9 ms | 0‑181 MB |
| QNN | Value |
|---|---|
| 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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