Profile Job Results
Jobs
jp01x7e2g
Results Ready
Name
whisper_medium_decoder
Target Device
- QCS8550 (Proxy)
- Android 12
- Qualcomm® QCS8550
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, 9:07:02 AM
Options
--qairt_version 2.42Versions
- ONNX Runtime: 1.24.3
- QAIRT: v2.42.0.251225135753_193295
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2026.04.13.0
Estimated Inference Time
33.9 ms
Estimated Peak Memory Usage
160 ‑ 162 MB
Compute Units
NPU
5938
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.80 s | 872‑873 MB |
Subsequent App Load | 1.19 s | 882‑885 MB |
Inference | 33.9 ms | 160‑162 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 |
| context_priority | "normal" |
| offload_graph_io_quantization | "1" |
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