Profile Job Results
Jobs
jp4d28d1p
Results Ready
Name
resnet_mixed
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
9/14/2025, 12:58:43 AM
Versions
- QAIRT: v2.37.0.250724175447_124859-auto
- QNN Backend API: 5.37.0
- QNN Core API: 2.27.0
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2025.09.05.0
Estimated Inference Time
97.0 ms
Estimated Peak Memory Usage
0 ‑ 64 MB
Compute Units
NPU
52
Stage | Time | Memory |
---|---|---|
First App Load | 25.9 s | 362‑371 MB |
Subsequent App Load | 28.0 s | 343‑503 MB |
Inference | 97.0 ms | 0‑64 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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