Profile Job Results
Jobs
jpx0zqw1p
Results Ready
Name
qwen3_vl_8b_instruct_vision_encoder_qwen3_vl_8b_instruct
Target Device
- Arduino VENTUNO Q
- Ubuntu 24.04
- Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
pixel_values: uint16[1024, 1536]position_ids_cos: uint16[1024, 36]position_ids_sin: uint16[1024, 36]full_attention_mask: uint16[1, 1024, 1024]window_attention_mask: float16[1, 1024, 1024]Completion Time
10/17/2026, 1:53:26 PM
Versions
- QAIRT: v2.50.0.260828221209
- QNN Backend API: 5.50.0
- QNN Core API: 2.39.0
- Qualcomm Linux: 24.04
- AI Hub: aihub-2026.10.10.0
Estimated Inference Time
246 ms
Estimated Peak Memory Usage
7 ‑ 25 MB
Compute Units
NPU
1652
| Stage | Time | Memory |
|---|---|---|
First App Load | 536 ms | 2‑3 MB |
Subsequent App Load | 480 ms | 2‑3 MB |
Inference | 246 ms | 7‑25 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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