Profile Job Results
Jobs
j5m6r09yg
Results Ready
Name
whisper_large_v3_turbo_HfWhisperDecoder
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input_ids: int32[1, 1]attention_mask: float16[1, 1, 1, 200]k_cache_self_0_in: float16[20, 1, 64, 199]v_cache_self_0_in: float16[20, 1, 199, 64]k_cache_self_1_in: float16[20, 1, 64, 199]v_cache_self_1_in: float16[20, 1, 199, 64]k_cache_self_2_in: float16[20, 1, 64, 199]v_cache_self_2_in: float16[20, 1, 199, 64]k_cache_self_3_in: float16[20, 1, 64, 199]v_cache_self_3_in: float16[20, 1, 199, 64]k_cache_cross_0: float16[20, 1, 64, 1500]v_cache_cross_0: float16[20, 1, 1500, 64]k_cache_cross_1: float16[20, 1, 64, 1500]v_cache_cross_1: float16[20, 1, 1500, 64]k_cache_cross_2: float16[20, 1, 64, 1500]v_cache_cross_2: float16[20, 1, 1500, 64]k_cache_cross_3: float16[20, 1, 64, 1500]v_cache_cross_3: float16[20, 1, 1500, 64]position_ids: int32[1]Completion Time
9/27/2025, 11:00:44 PM
Options
--qairt_version 2.37Versions
- ONNX Runtime: 1.22.2
- QAIRT: v2.37.1.250807093845_124904
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.09.23.1
Estimated Inference Time
8.04 ms
Estimated Peak Memory Usage
43 ‑ 62 MB
Compute Units
NPU
1222
| Stage | Time | Memory |
|---|---|---|
First App Load | 315 ms | 438‑445 MB |
Subsequent App Load | 285 ms | 432‑440 MB |
Inference | 8.04 ms | 43‑62 MB |
| ONNX Runtime | Value |
|---|---|
| execution_mode | SEQUENTIAL |
| intra_op_num_threads | 0 |
| inter_op_num_threads | 0 |
| enable_memory_pattern | false |
| enable_cpu_memory_arena | false |
| graph_optimization_level | ENABLE_ALL |
| QNN Execution Provider | Value |
|---|---|
| htp_performance_mode | "burst" |
| htp_graph_finalization_optimization_mode | "3" |
| enable_htp_fp16_precision | "1" |
| capture_network_visualizations | false |
Sign up to run this model on a hosted Qualcomm® device!
Run on device