Profile Job Results
Jobs
jg94yjrm5
Results Ready
Name
opus_mt_en_zh_float_OpusMTEncoder
Target Device
- SA8775P ADP
- Android 14
- Qualcomm® SA8775P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input_ids: int32[1, 256]encoder_attention_mask: int32[1, 256]Completion Time
1/27/2026, 5:22:04 AM
Options
--qairt_version 2.41Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.41.0.251128145156_191518-auto
- QNN TfLite Delegate: v2.41.0.251128145156_191518-auto
- 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
4.85 ms
Estimated Peak Memory Usage
6 ‑ 181 MB
Compute Units
NPU
332
| Stage | Time | Memory |
|---|---|---|
First App Load | 9.76 s | 1 GB |
Subsequent App Load | 647 ms | 107‑283 MB |
Inference | 4.85 ms | 6‑181 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 |
| htp_options.device_id | 1 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device