Profile Job Results
Jobs
jgk82k4og
Results Ready
Name
distil_bert_base_uncased_hf
Target Device
- Arduino VENTUNO Q
- Ubuntu 24.04
- Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
attention_masks: uint16[1, 384]input_tokens: int32[1, 384]mask_indices: int32[1]Completion Time
8/8/2026, 10:51:00 AM
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
6.28 ms
Estimated Peak Memory Usage
0 ‑ 2 MB
Compute Units
NPU
214
| Stage | Time | Memory |
|---|---|---|
First App Load | 8.41 s | 520‑521 MB |
Subsequent App Load | 255 ms | 2 MB |
Inference | 6.28 ms | 0‑2 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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