Profile Job Results
Jobs
jgdoyr6lp
Results Ready
Name
resnet_3d_float
Target Device
- QCS8450 (Proxy)
- Android 13
- Qualcomm® QCS8450
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
video: float32[1, 16, 112, 112, 3]Completion Time
12/13/2025, 9:24:59 PM
Versions
- QAIRT: v2.40.0.251030114326_189385
- QNN Backend API: 5.40.0
- QNN Core API: 2.30.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2025.12.07.0
Estimated Inference Time
26.6 ms
Estimated Peak Memory Usage
2 ‑ 69 MB
Compute Units
NPU
53
| Stage | Time | Memory |
|---|---|---|
First App Load | 6.64 s | 1 GB |
Subsequent App Load | 6.79 s | 1 GB |
Inference | 26.6 ms | 2‑69 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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