Profile Job Results

Jobs
jgdvv9mlg
Results Ready
Name
bert_base_uncased_hf_float
Target Device
  • SA7255P ADP
  • Android 14
  • Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input_tokens: int32[1, 384]
attention_masks: float32[1, 384]
mask_indices: int32[1]
Completion Time
2/1/2026, 11:36:53 AM
Versions
  • QAIRT: v2.42.0.251225135753_193295
  • QNN Backend API: 5.41.0
  • QNN Core API: 2.32.0
  • Android: 14 (UAG2.240908.001)
  • Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
  • AI Hub: aihub-2026.01.22.0
Estimated Inference Time
81.2 ms
Estimated Peak Memory Usage
0 ‑ 528 MB
Compute Units
NPU
417
StageTimeMemory
First App Load
41.5 s1 GB
Subsequent App Load
752 ms24‑552 MB
Inference
81.2 ms0‑528 MB
QNNValue
default_graph_options.htp_options.optimizations[0].typeFINALIZE_OPTIMIZATION_FLAG
default_graph_options.htp_options.optimizations[0].value3.0
default_graph_options.htp_options.precisionFLOAT16
default_graph_options.htp_options.vtcm_size0

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

Run on device