Profile Job Results
Jobs
jpvwkevzg
Results Ready
Name
bert_base_uncased_hf_float
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
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
1/11/2026, 8:35:50 AM
Options
--qairt_version latestVersions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.41.0.251128145156_191518-auto
- QNN TfLite Delegate: v2.41.0.251128145156_191518-auto
- Android: 14 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2026.01.05.0
Estimated Inference Time
35.9 ms
Estimated Peak Memory Usage
0 ‑ 545 MB
Compute Units
NPU
548
| Stage | Time | Memory |
|---|---|---|
First App Load | 17.6 s | 1 GB |
Subsequent App Load | 538 ms | 253‑798 MB |
Inference | 35.9 ms | 0‑545 MB |
| TensorFlow Lite | Value |
|---|---|
| number_of_threads | 4 |
| QNN Delegate | Value |
|---|---|
| backend_type | kHtpBackend |
| log_level | kLogLevelWarn |
| htp_options.precision | kHtpFp16 |
| htp_options.optimization_strategy | kHtpOptimizeForInferenceO3 |
| htp_options.useConvHmx | true |
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