Profile Job Results
Jobs
j5qv43omg
Results Ready
Name
owl_vit
Target Device
- Arduino VENTUNO Q
- Ubuntu 24.04
- Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
pixel_values: float32[1, 3, 768, 768]input_ids: int32[1, 16]attention_mask: int32[1, 16]Completion Time
8/8/2026, 8:31:07 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-2026.07.31.1
Estimated Inference Time
54.0 ms
Estimated Peak Memory Usage
7 ‑ 16 MB
Compute Units
NPU
896
| Stage | Time | Memory |
|---|---|---|
First App Load | 32.1 s | 1 GB |
Subsequent App Load | 309 ms | 2 MB |
Inference | 54.0 ms | 7‑16 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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