Profile Job Results
Jobs
jglkk4dep
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]position_ids: int32[1]k_cache_self_0_in: float16[8, 1, 64, 199]v_cache_self_0_in: float16[8, 1, 199, 64]attention_mask: float16[1, 1, 1, 200]k_cache_cross_0: float16[8, 1, 64, 1500]v_cache_cross_0: float16[8, 1, 1500, 64]k_cache_self_1_in: float16[8, 1, 64, 199]v_cache_self_1_in: float16[8, 1, 199, 64]k_cache_cross_1: float16[8, 1, 64, 1500]v_cache_cross_1: float16[8, 1, 1500, 64]k_cache_self_2_in: float16[8, 1, 64, 199]v_cache_self_2_in: float16[8, 1, 199, 64]k_cache_cross_2: float16[8, 1, 64, 1500]v_cache_cross_2: float16[8, 1, 1500, 64]k_cache_self_3_in: float16[8, 1, 64, 199]v_cache_self_3_in: float16[8, 1, 199, 64]k_cache_cross_3: float16[8, 1, 64, 1500]v_cache_cross_3: float16[8, 1, 1500, 64]k_cache_self_4_in: float16[8, 1, 64, 199]v_cache_self_4_in: float16[8, 1, 199, 64]k_cache_cross_4: float16[8, 1, 64, 1500]v_cache_cross_4: float16[8, 1, 1500, 64]k_cache_self_5_in: float16[8, 1, 64, 199]v_cache_self_5_in: float16[8, 1, 199, 64]k_cache_cross_5: float16[8, 1, 64, 1500]v_cache_cross_5: float16[8, 1, 1500, 64]Completion Time
1/31/2026, 6:22:58 PM
Versions
- QAIRT: v2.42.0.251225135753_193295
- QNN Backend API: 5.41.0
- QNN Core API: 2.32.0
- Android: 16 (BQ2A.251217.002-BP2A.250705.008)
- Build ID: Kaanapali.LA.1.0.r1-01100-STD.PROD-1
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
2.47 ms
Estimated Peak Memory Usage
20 ‑ 29 MB
Compute Units
NPU
820
| Stage | Time | Memory |
|---|---|---|
First App Load | 102 ms | 1‑8 MB |
Subsequent App Load | 99.1 ms | 1‑11 MB |
Inference | 2.47 ms | 20‑29 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.optimizations[0].type | FINALIZE_OPTIMIZATION_FLAG |
| default_graph_options.htp_options.optimizations[0].value | 3.0 |
| default_graph_options.htp_options.precision | FLOAT16 |
| default_graph_options.htp_options.vtcm_size | 0 |
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