Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
jgd2616k5
Results Ready
Name
distil_whisper_encoder
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
input_features: float32[1, 80, 3000]
Completion Time
8/8/2026, 4:41:51 PM
Options
--compute_unit gpu --max_profiler_iterations 10
Versions
  • Lite RT: 1.4.5
  • Qualcomm Linux: 24.04
  • AI Hub: aihub-2026.07.31.1
Estimated Inference Time
3.00 s
Estimated Peak Memory Usage
0 ‑ 39 MB
Compute Units
GPU
1358
CPU
8
StageTimeMemory
First App Load
24.7 s833‑834 MB
Subsequent App Load
1.57 s721‑722 MB
Inference
3.00 s0‑39 MB
Lite RTValue
number_of_threads4
GPUv2 DelegateValue
inference_preferenceTFLITE_GPU_INFERENCE_PREFERENCE_SUSTAINED_SPEED
inference_priority1TFLITE_GPU_INFERENCE_PRIORITY_MIN_LATENCY
inference_priority2TFLITE_GPU_INFERENCE_PRIORITY_MIN_MEMORY_USAGE
inference_priority3TFLITE_GPU_INFERENCE_PRIORITY_MAX_PRECISION
XNNPACK DelegateValue

Sign up to run this model on a hosted Qualcomm® device!

Run on device