Profile Job Results
Jobs
jgo8d641p
Results Ready
Name
whisper_large_v3_turbo_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: float16[1, 128, 3000]Completion Time
8/8/2026, 4:36:06 PM
Options
--max_profiler_iterations 10Versions
- 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
816 ms
Estimated Peak Memory Usage
1 ‑ 34 MB
Compute Units
NPU
5026
| Stage | Time | Memory |
|---|---|---|
First App Load | 1.55 s | 2‑3 MB |
Subsequent App Load | 1.26 s | 26‑27 MB |
Inference | 816 ms | 1‑34 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 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device