Profile Job Results
Jobs
jpy6o6385
Results Ready
Name
resnet_3d_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
11/30/2025, 11:04:53 AM
Options
--qairt_version latestVersions
- QAIRT: v2.40.0.251030114326_189385-auto
- QNN Backend API: 5.40.0
- QNN Core API: 2.30.0
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.11.18.0
Estimated Inference Time
91.3 ms
Estimated Peak Memory Usage
0 ‑ 61 MB
Compute Units
NPU
53
| Stage | Time | Memory |
|---|---|---|
First App Load | 25.0 s | 920‑930 MB |
Subsequent App Load | 26.1 s | 1 GB |
Inference | 91.3 ms | 0‑61 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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