Profile Job Results
Jobs
jpx64n23p
Results Ready
Name
whisper_tiny_en_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: float32[1, 1, 1, 200]k_cache_self_0_in: float32[6, 1, 64, 199]v_cache_self_0_in: float32[6, 1, 199, 64]k_cache_self_1_in: float32[6, 1, 64, 199]v_cache_self_1_in: float32[6, 1, 199, 64]k_cache_self_2_in: float32[6, 1, 64, 199]v_cache_self_2_in: float32[6, 1, 199, 64]k_cache_self_3_in: float32[6, 1, 64, 199]v_cache_self_3_in: float32[6, 1, 199, 64]k_cache_cross_0: float32[6, 1, 64, 1500]v_cache_cross_0: float32[6, 1, 1500, 64]k_cache_cross_1: float32[6, 1, 64, 1500]v_cache_cross_1: float32[6, 1, 1500, 64]k_cache_cross_2: float32[6, 1, 64, 1500]v_cache_cross_2: float32[6, 1, 1500, 64]k_cache_cross_3: float32[6, 1, 64, 1500]v_cache_cross_3: float32[6, 1, 1500, 64]position_ids: int32[1]Completion Time
8/23/2025, 7:15:36 PM
Options
--qairt_version 2.33Versions
- ONNX Runtime: 1.22.0
- QAIRT: v2.33.2.250410134701_117956
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.08.21.0
Estimated Inference Time
4.51 ms
Estimated Peak Memory Usage
23 ‑ 417 MB
Compute Units
NPU
437
| Stage | Time | Memory |
|---|---|---|
First App Load | 18.0 s | 494‑501 MB |
Subsequent App Load | 20.0 s | 354‑858 MB |
Inference | 4.51 ms | 23‑417 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