Profile Job Results
Jobs
jgn3m79v5
Results Ready
Name
whisper_tiny_float_HfWhisperDecoder
Target Device
- Samsung Galaxy S24
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
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: float32[6, 1, 64, 199]v_cache_self_0_in: float32[6, 1, 199, 64]attention_mask: float32[1, 1, 1, 200]k_cache_cross_0: float32[6, 1, 64, 1500]v_cache_cross_0: float32[6, 1, 1500, 64]k_cache_self_1_in: float32[6, 1, 64, 199]v_cache_self_1_in: float32[6, 1, 199, 64]k_cache_cross_1: float32[6, 1, 64, 1500]v_cache_cross_1: float32[6, 1, 1500, 64]k_cache_self_2_in: float32[6, 1, 64, 199]v_cache_self_2_in: float32[6, 1, 199, 64]k_cache_cross_2: float32[6, 1, 64, 1500]v_cache_cross_2: float32[6, 1, 1500, 64]k_cache_self_3_in: float32[6, 1, 64, 199]v_cache_self_3_in: float32[6, 1, 199, 64]k_cache_cross_3: float32[6, 1, 64, 1500]v_cache_cross_3: float32[6, 1, 1500, 64]Completion Time
10/25/2025, 1:41:28 PM
Options
--qairt_version latestVersions
- QAIRT: v2.39.0.250925215840_163802
- QNN Backend API: 5.39.0
- QNN Core API: 2.29.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2025.10.21.0
Estimated Inference Time
2.56 ms
Estimated Peak Memory Usage
20 ‑ 40 MB
Compute Units
NPU
438
| Stage | Time | Memory |
|---|---|---|
First App Load | 154 ms | 0‑7 MB |
Subsequent App Load | 155 ms | 0‑7 MB |
Inference | 2.56 ms | 20‑40 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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