Profile Job Results
Jobs
jgkq4q7ng
Results Ready
Name
whisper_base_en_HfWhisperDecoder
Target Device
- Snapdragon 8 Elite QRD
- Android 15
- Snapdragon® 8 Elite | SM8750
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input_ids: int32[1, 1]attention_mask: float32[1, 1, 1, 200]k_cache_self_0_in: float32[8, 1, 64, 199]v_cache_self_0_in: float32[8, 1, 199, 64]k_cache_self_1_in: float32[8, 1, 64, 199]v_cache_self_1_in: float32[8, 1, 199, 64]k_cache_self_2_in: float32[8, 1, 64, 199]v_cache_self_2_in: float32[8, 1, 199, 64]k_cache_self_3_in: float32[8, 1, 64, 199]v_cache_self_3_in: float32[8, 1, 199, 64]k_cache_self_4_in: float32[8, 1, 64, 199]v_cache_self_4_in: float32[8, 1, 199, 64]k_cache_self_5_in: float32[8, 1, 64, 199]v_cache_self_5_in: float32[8, 1, 199, 64]k_cache_cross_0: float32[8, 1, 64, 1500]v_cache_cross_0: float32[8, 1, 1500, 64]k_cache_cross_1: float32[8, 1, 64, 1500]v_cache_cross_1: float32[8, 1, 1500, 64]k_cache_cross_2: float32[8, 1, 64, 1500]v_cache_cross_2: float32[8, 1, 1500, 64]k_cache_cross_3: float32[8, 1, 64, 1500]v_cache_cross_3: float32[8, 1, 1500, 64]k_cache_cross_4: float32[8, 1, 64, 1500]v_cache_cross_4: float32[8, 1, 1500, 64]k_cache_cross_5: float32[8, 1, 64, 1500]v_cache_cross_5: float32[8, 1, 1500, 64]position_ids: int32[1]Completion Time
8/23/2025, 7:41:10 PM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.37.0.250724175447_124859
- QNN TfLite Delegate: v2.37.0.250724175447_124859
- Android: 15 (AQ3A.241126.002)
- Build ID: Pakala.LA.1.0.r1-01152-STD.PROD-1
- AI Hub: aihub-2025.08.21.0
Estimated Inference Time
4.06 ms
Estimated Peak Memory Usage
3 ‑ 154 MB
Compute Units
NPU
1144
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.47 s | 757‑763 MB |
Subsequent App Load | 2.53 s | 1 GB |
Inference | 4.06 ms | 3‑154 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.performance_mode | kHtpBurst |
| htp_options.precision | kHtpFp16 |
| htp_options.useConvHmx | true |
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