Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
j574dr895
Results Ready
Name
distil_bert_base_uncased_hf
Target Device
  • Arduino VENTUNO Q
  • Ubuntu 24.04
  • Qualcomm® Dragonwing™ IQ-8275 | QCS8275
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
input_tokens: int32[1, 384]
attention_masks: float32[1, 384]
mask_indices: int32[1]
Completion Time
8/22/2026, 12:41:26 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-2026.08.14.0
Estimated Inference Time
19.3 ms
Estimated Peak Memory Usage
0 ‑ 177 MB
Compute Units
NPU
284
StageTimeMemory
First App Load
11.8 s518‑519 MB
Subsequent App Load
389 ms176‑177 MB
Inference
19.3 ms0‑177 MB
Lite RTValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.performance_modekHtpBurst
htp_options.precisionkHtpFp16
htp_options.optimization_strategykHtpOptimizeForInferenceO3
htp_options.useConvHmxtrue

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

Run on device