Profile Job Results
Jobs
jp2r3nd6g
Results Ready
Name
whisper_large_v3_turbo_quantized_decoder
Target Device
- Arduino VENTUNO Q
- Ubuntu 24.04
- Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
input_ids: int32[1, 1]k_cache_cross_0: uint8[20, 1, 64, 1500]k_cache_cross_1: uint8[20, 1, 64, 1500]k_cache_cross_2: uint8[20, 1, 64, 1500]k_cache_cross_3: uint8[20, 1, 64, 1500]k_cache_self_0_in: uint8[20, 1, 64, 199]k_cache_self_1_in: uint8[20, 1, 64, 199]k_cache_self_2_in: uint8[20, 1, 64, 199]k_cache_self_3_in: uint8[20, 1, 64, 199]position_ids: int32[1]v_cache_cross_0: uint8[20, 1, 1500, 64]v_cache_cross_1: uint8[20, 1, 1500, 64]v_cache_cross_2: uint8[20, 1, 1500, 64]v_cache_cross_3: uint8[20, 1, 1500, 64]v_cache_self_0_in: uint8[20, 1, 199, 64]v_cache_self_1_in: uint8[20, 1, 199, 64]v_cache_self_2_in: uint8[20, 1, 199, 64]v_cache_self_3_in: uint8[20, 1, 199, 64]attention_mask: uint16[1, 1, 1, 200]Completion Time
9/19/2026, 10:26:21 AM
Options
--qairt_version latestVersions
- 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
6.74 ms
Estimated Peak Memory Usage
16 ‑ 37 MB
Compute Units
NPU
1533
| Stage | Time | Memory |
|---|---|---|
First App Load | 312 ms | 3 MB |
Subsequent App Load | 364 ms | 3 MB |
Inference | 6.74 ms | 16‑37 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