Profile Job Results
Jobs
jgje4y1e5
Results Ready
Name
whisper_large_v3_turbo_float_HfWhisperDecoder
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input_ids: int32[1, 1]position_ids: int32[1]k_cache_self_0_in: float16[20, 1, 64, 199]v_cache_self_0_in: float16[20, 1, 199, 64]attention_mask: float16[1, 1, 1, 200]k_cache_cross_0: float16[20, 1, 64, 1500]v_cache_cross_0: float16[20, 1, 1500, 64]k_cache_self_1_in: float16[20, 1, 64, 199]v_cache_self_1_in: float16[20, 1, 199, 64]k_cache_cross_1: float16[20, 1, 64, 1500]v_cache_cross_1: float16[20, 1, 1500, 64]k_cache_self_2_in: float16[20, 1, 64, 199]v_cache_self_2_in: float16[20, 1, 199, 64]k_cache_cross_2: float16[20, 1, 64, 1500]v_cache_cross_2: float16[20, 1, 1500, 64]k_cache_self_3_in: float16[20, 1, 64, 199]v_cache_self_3_in: float16[20, 1, 199, 64]k_cache_cross_3: float16[20, 1, 64, 1500]v_cache_cross_3: float16[20, 1, 1500, 64]Completion Time
1/10/2026, 5:23:54 PM
Options
--qairt_version latestVersions
- QAIRT: v2.41.0.251128145156_191518-auto
- QNN Backend API: 5.41.0
- QNN Core API: 2.31.0
- Android: 14 (UQ1A.240205.002)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00012-STD.PROD-5
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
14.9 ms
Estimated Peak Memory Usage
33 ‑ 41 MB
Compute Units
NPU
1222
| Stage | Time | Memory |
|---|---|---|
First App Load | 800 ms | 1‑9 MB |
Subsequent App Load | 656 ms | 5‑13 MB |
Inference | 14.9 ms | 33‑41 MB |
| QNN | Value |
|---|---|
| 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







