Profile Job Results
Jobs
jg9m62r85
Results Ready
Name
cvt
Target Device
- Arduino VENTUNO Q
- Ubuntu 24.04
- Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
image: float32[1, 6, 3, 224, 480]extrinsics: float32[1, 6, 4, 4]intrinsics: float32[1, 6, 3, 3]Completion Time
9/5/2026, 2:13:51 PM
Versions
- QAIRT: v2.45.0.260326154327
- QNN Backend API: 5.45.0
- QNN Core API: 2.34.0
- Qualcomm Linux: 24.04
- AI Hub: aihub-2026.08.28.1
Estimated Inference Time
257 ms
Estimated Peak Memory Usage
7 ‑ 17 MB
Compute Units
NPU
374
| Stage | Time | Memory |
|---|---|---|
First App Load | 10.3 min | 2 GB |
Subsequent App Load | 612 ms | 2 MB |
Inference | 257 ms | 7‑17 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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