Profile Job Results
Jobs
jgnen09jg
Results Ready
Name
whisper_base_HfWhisperDecoder
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[8, 1, 64, 199]v_cache_self_0_in: float16[8, 1, 199, 64]k_cache_self_1_in: float16[8, 1, 64, 199]v_cache_self_1_in: float16[8, 1, 199, 64]k_cache_self_2_in: float16[8, 1, 64, 199]v_cache_self_2_in: float16[8, 1, 199, 64]k_cache_self_3_in: float16[8, 1, 64, 199]v_cache_self_3_in: float16[8, 1, 199, 64]k_cache_self_4_in: float16[8, 1, 64, 199]v_cache_self_4_in: float16[8, 1, 199, 64]k_cache_self_5_in: float16[8, 1, 64, 199]v_cache_self_5_in: float16[8, 1, 199, 64]k_cache_cross_0: float16[8, 1, 64, 1500]v_cache_cross_0: float16[8, 1, 1500, 64]k_cache_cross_1: float16[8, 1, 64, 1500]v_cache_cross_1: float16[8, 1, 1500, 64]k_cache_cross_2: float16[8, 1, 64, 1500]v_cache_cross_2: float16[8, 1, 1500, 64]k_cache_cross_3: float16[8, 1, 64, 1500]v_cache_cross_3: float16[8, 1, 1500, 64]k_cache_cross_4: float16[8, 1, 64, 1500]v_cache_cross_4: float16[8, 1, 1500, 64]k_cache_cross_5: float16[8, 1, 64, 1500]v_cache_cross_5: float16[8, 1, 1500, 64]position_ids: int32[1]Completion Time
2/21/2026, 7:40:26 AM
Options
--qairt_version 2.42Versions
- ONNX Runtime: 1.24.1
- QAIRT: v2.42.0.251225135753_193295
- Qualcomm Linux: 1.7-ver.1.1
- AI Hub: aihub-2026.02.14.0
Estimated Inference Time
4.65 ms
Estimated Peak Memory Usage
20 ‑ 43 MB
Compute Units
NPU
820
| Stage | Time | Memory |
|---|---|---|
First App Load | 303 ms | 153‑154 MB |
Subsequent App Load | 275 ms | 157‑158 MB |
Inference | 4.65 ms | 20‑43 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" |
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