Profile Job Results
Jobs
j56nlmvyg
Results Ready
Name
whisper_large_v3_turbo_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[20, 1, 64, 199]v_cache_self_0_in: float16[20, 1, 199, 64]attention_mask: float16[1, 1, 1, 200]k_cache_cross_0: float16[20, 1, 64, 1500]v_cache_cross_0: float16[20, 1, 1500, 64]k_cache_self_1_in: float16[20, 1, 64, 199]v_cache_self_1_in: float16[20, 1, 199, 64]k_cache_cross_1: float16[20, 1, 64, 1500]v_cache_cross_1: float16[20, 1, 1500, 64]k_cache_self_2_in: float16[20, 1, 64, 199]v_cache_self_2_in: float16[20, 1, 199, 64]k_cache_cross_2: float16[20, 1, 64, 1500]v_cache_cross_2: float16[20, 1, 1500, 64]k_cache_self_3_in: float16[20, 1, 64, 199]v_cache_self_3_in: float16[20, 1, 199, 64]k_cache_cross_3: float16[20, 1, 64, 1500]v_cache_cross_3: float16[20, 1, 1500, 64]Completion Time
1/10/2026, 4:34:37 PM
Options
--qairt_version latestVersions
- QAIRT: v2.41.0.251128145156_191518
- QNN Backend API: 5.41.0
- QNN Core API: 2.31.0
- Android: 16 (BQ2A.251016.001-BP2A.250605.031.A3)
- Build ID: Kaanapali.LA.1.0.r1-01040-STD.PROD-1
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
6.14 ms
Estimated Peak Memory Usage
33 ‑ 45 MB
Compute Units
NPU
1222
| Stage | Time | Memory |
|---|---|---|
First App Load | 138 ms | 1‑7 MB |
Subsequent App Load | 141 ms | 1‑12 MB |
Inference | 6.14 ms | 33‑45 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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