Profile Job Results
Jobs
jgl0qreeg
Results Ready
Name
whisper_medium_decoder
Target Device
- Dragonwing IQ-9075 EVK
- Qualcomm Linux 1.7
- Qualcomm® Dragonwing™ IQ-9075 | QCS9075
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[16, 1, 64, 199]v_cache_self_0_in: float16[16, 1, 199, 64]k_cache_self_1_in: float16[16, 1, 64, 199]v_cache_self_1_in: float16[16, 1, 199, 64]k_cache_self_2_in: float16[16, 1, 64, 199]v_cache_self_2_in: float16[16, 1, 199, 64]k_cache_self_3_in: float16[16, 1, 64, 199]v_cache_self_3_in: float16[16, 1, 199, 64]k_cache_self_4_in: float16[16, 1, 64, 199]v_cache_self_4_in: float16[16, 1, 199, 64]k_cache_self_5_in: float16[16, 1, 64, 199]v_cache_self_5_in: float16[16, 1, 199, 64]k_cache_self_6_in: float16[16, 1, 64, 199]v_cache_self_6_in: float16[16, 1, 199, 64]k_cache_self_7_in: float16[16, 1, 64, 199]v_cache_self_7_in: float16[16, 1, 199, 64]k_cache_self_8_in: float16[16, 1, 64, 199]v_cache_self_8_in: float16[16, 1, 199, 64]k_cache_self_9_in: float16[16, 1, 64, 199]v_cache_self_9_in: float16[16, 1, 199, 64]k_cache_self_10_in: float16[16, 1, 64, 199]v_cache_self_10_in: float16[16, 1, 199, 64]k_cache_self_11_in: float16[16, 1, 64, 199]v_cache_self_11_in: float16[16, 1, 199, 64]k_cache_self_12_in: float16[16, 1, 64, 199]v_cache_self_12_in: float16[16, 1, 199, 64]k_cache_self_13_in: float16[16, 1, 64, 199]v_cache_self_13_in: float16[16, 1, 199, 64]k_cache_self_14_in: float16[16, 1, 64, 199]v_cache_self_14_in: float16[16, 1, 199, 64]k_cache_self_15_in: float16[16, 1, 64, 199]v_cache_self_15_in: float16[16, 1, 199, 64]k_cache_self_16_in: float16[16, 1, 64, 199]v_cache_self_16_in: float16[16, 1, 199, 64]k_cache_self_17_in: float16[16, 1, 64, 199]v_cache_self_17_in: float16[16, 1, 199, 64]k_cache_self_18_in: float16[16, 1, 64, 199]v_cache_self_18_in: float16[16, 1, 199, 64]k_cache_self_19_in: float16[16, 1, 64, 199]v_cache_self_19_in: float16[16, 1, 199, 64]k_cache_self_20_in: float16[16, 1, 64, 199]v_cache_self_20_in: float16[16, 1, 199, 64]k_cache_self_21_in: float16[16, 1, 64, 199]v_cache_self_21_in: float16[16, 1, 199, 64]k_cache_self_22_in: float16[16, 1, 64, 199]v_cache_self_22_in: float16[16, 1, 199, 64]k_cache_self_23_in: float16[16, 1, 64, 199]v_cache_self_23_in: float16[16, 1, 199, 64]k_cache_cross_0: float16[16, 1, 64, 1500]v_cache_cross_0: float16[16, 1, 1500, 64]k_cache_cross_1: float16[16, 1, 64, 1500]v_cache_cross_1: float16[16, 1, 1500, 64]k_cache_cross_2: float16[16, 1, 64, 1500]v_cache_cross_2: float16[16, 1, 1500, 64]k_cache_cross_3: float16[16, 1, 64, 1500]v_cache_cross_3: float16[16, 1, 1500, 64]k_cache_cross_4: float16[16, 1, 64, 1500]v_cache_cross_4: float16[16, 1, 1500, 64]k_cache_cross_5: float16[16, 1, 64, 1500]v_cache_cross_5: float16[16, 1, 1500, 64]k_cache_cross_6: float16[16, 1, 64, 1500]v_cache_cross_6: float16[16, 1, 1500, 64]k_cache_cross_7: float16[16, 1, 64, 1500]v_cache_cross_7: float16[16, 1, 1500, 64]k_cache_cross_8: float16[16, 1, 64, 1500]v_cache_cross_8: float16[16, 1, 1500, 64]k_cache_cross_9: float16[16, 1, 64, 1500]v_cache_cross_9: float16[16, 1, 1500, 64]k_cache_cross_10: float16[16, 1, 64, 1500]v_cache_cross_10: float16[16, 1, 1500, 64]k_cache_cross_11: float16[16, 1, 64, 1500]v_cache_cross_11: float16[16, 1, 1500, 64]k_cache_cross_12: float16[16, 1, 64, 1500]v_cache_cross_12: float16[16, 1, 1500, 64]k_cache_cross_13: float16[16, 1, 64, 1500]v_cache_cross_13: float16[16, 1, 1500, 64]k_cache_cross_14: float16[16, 1, 64, 1500]v_cache_cross_14: float16[16, 1, 1500, 64]k_cache_cross_15: float16[16, 1, 64, 1500]v_cache_cross_15: float16[16, 1, 1500, 64]k_cache_cross_16: float16[16, 1, 64, 1500]v_cache_cross_16: float16[16, 1, 1500, 64]k_cache_cross_17: float16[16, 1, 64, 1500]v_cache_cross_17: float16[16, 1, 1500, 64]k_cache_cross_18: float16[16, 1, 64, 1500]v_cache_cross_18: float16[16, 1, 1500, 64]k_cache_cross_19: float16[16, 1, 64, 1500]v_cache_cross_19: float16[16, 1, 1500, 64]k_cache_cross_20: float16[16, 1, 64, 1500]v_cache_cross_20: float16[16, 1, 1500, 64]k_cache_cross_21: float16[16, 1, 64, 1500]v_cache_cross_21: float16[16, 1, 1500, 64]k_cache_cross_22: float16[16, 1, 64, 1500]v_cache_cross_22: float16[16, 1, 1500, 64]k_cache_cross_23: float16[16, 1, 64, 1500]v_cache_cross_23: float16[16, 1, 1500, 64]position_ids: int32[1]Completion Time
4/18/2026, 9:11:07 AM
Options
--qairt_version 2.42Versions
- ONNX Runtime: 1.24.3
- QAIRT: v2.42.0.251225135753_193295
- Qualcomm Linux: 1.7-ver.1.1
- AI Hub: aihub-2026.04.13.0
Estimated Inference Time
36.8 ms
Estimated Peak Memory Usage
159 ‑ 322 MB
Compute Units
NPU
5938
| Stage | Time | Memory |
|---|---|---|
First App Load | 588 ms | 895‑896 MB |
Subsequent App Load | 603 ms | 895‑896 MB |
Inference | 36.8 ms | 159‑322 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 | "2" |
| enable_htp_fp16_precision | "1" |
| capture_network_visualizations | false |
| context_priority | "normal" |
| offload_graph_io_quantization | "1" |
Sign up to run this model on a hosted Qualcomm® device!
Run on device