Profile Job Results
Jobs
j5q362xop
Results Ready
Name
whisper_base_float_HfWhisperDecoder
Target Device
- Snapdragon 8 Elite Gen 5 QRD
- Android 16
- Snapdragon® 8 Elite Gen 5 | SM8850
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
10/14/2025, 12:43:49 PM
Options
--qairt_version 2.37Versions
- ONNX Runtime: 1.23.0
- QAIRT: v2.37.1.250807093845_124904
- Android: 16 (BQ2A.250705.001-BP2A.250605.031.A3)
- Build ID: Kaanapali.LA.1.0.r1-00850-STD.PROD-1
- AI Hub: aihub-2025.10.03.0
Estimated Inference Time
2.66 ms
Estimated Peak Memory Usage
18 ‑ 28 MB
Compute Units
NPU
820
| Stage | Time | Memory |
|---|---|---|
First App Load | 134 ms | 152‑159 MB |
Subsequent App Load | 127 ms | 146‑157 MB |
Inference | 2.66 ms | 18‑28 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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