Profile Job Results
Jobs
jp43ereq5
Results Ready
Name
distil_whisper_decoder
Target Device
- Arduino VENTUNO Q
- Ubuntu 24.04
- Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
input_ids: int32[1, 1]attention_mask: float32[1, 1, 1, 200]k_cache_self_0_in: float32[12, 1, 64, 199]v_cache_self_0_in: float32[12, 1, 199, 64]k_cache_self_1_in: float32[12, 1, 64, 199]v_cache_self_1_in: float32[12, 1, 199, 64]k_cache_self_2_in: float32[12, 1, 64, 199]v_cache_self_2_in: float32[12, 1, 199, 64]k_cache_self_3_in: float32[12, 1, 64, 199]v_cache_self_3_in: float32[12, 1, 199, 64]k_cache_cross_0: float32[12, 1, 64, 1500]v_cache_cross_0: float32[12, 1, 1500, 64]k_cache_cross_1: float32[12, 1, 64, 1500]v_cache_cross_1: float32[12, 1, 1500, 64]k_cache_cross_2: float32[12, 1, 64, 1500]v_cache_cross_2: float32[12, 1, 1500, 64]k_cache_cross_3: float32[12, 1, 64, 1500]v_cache_cross_3: float32[12, 1, 1500, 64]position_ids: int32[1]Completion Time
8/8/2026, 4:40:39 PM
Versions
- Lite RT: 1.4.5
- QAIRT: v2.45.0.260326154327
- QNN TfLite Delegate: v2.45.0.260326154327
- Qualcomm Linux: 24.04
- AI Hub: aihub-2026.07.31.1
Estimated Inference Time
12.9 ms
Estimated Peak Memory Usage
0 ‑ 266 MB
Compute Units
NPU
1080
| Stage | Time | Memory |
|---|---|---|
First App Load | 22.4 s | 705‑706 MB |
Subsequent App Load | 404 ms | 221‑222 MB |
Inference | 12.9 ms | 0‑266 MB |
| Lite RT | 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.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
Sign up to run this model on a hosted Qualcomm® device!
Run on device