Profile Job Results
Jobs
jgnzr8qjg
Results Ready
Name
whisper_large_v3_turbo_quantized_encoder
Target Device
- Arduino VENTUNO Q
- Ubuntu 24.04
- Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
input_features: uint16[1, 128, 3000]Completion Time
9/19/2026, 10:28:40 AM
Options
--qairt_version latest --max_profiler_iterations 10Versions
- QAIRT: v2.50.0.260828221209
- QNN Backend API: 5.50.0
- QNN Core API: 2.39.0
- Qualcomm Linux: 24.04
- AI Hub: aihub-2026.09.11.0
Estimated Inference Time
243 ms
Estimated Peak Memory Usage
1 ‑ 18 MB
Compute Units
NPU
6314
| Stage | Time | Memory |
|---|---|---|
First App Load | 631 ms | 4‑5 MB |
Subsequent App Load | 579 ms | 4‑5 MB |
Inference | 243 ms | 1‑18 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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