Profile Job Results
Jobs
j5q2y74e5
Results Ready
Name
opus_mt_zh_en_OpusMTDecoder
Target Device
- SA7255P ADP
- Android 14
- Qualcomm® SA7255P
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input_ids: int32[1, 1]encoder_attention_mask: int32[1, 256]position: int32[1]block_0_past_self_key_states: float32[1, 8, 255, 64]block_0_past_self_value_states: float32[1, 8, 255, 64]block_0_cross_key_states: float32[1, 8, 256, 64]block_0_cross_value_states: float32[1, 8, 256, 64]block_1_past_self_key_states: float32[1, 8, 255, 64]block_1_past_self_value_states: float32[1, 8, 255, 64]block_1_cross_key_states: float32[1, 8, 256, 64]block_1_cross_value_states: float32[1, 8, 256, 64]block_2_past_self_key_states: float32[1, 8, 255, 64]block_2_past_self_value_states: float32[1, 8, 255, 64]block_2_cross_key_states: float32[1, 8, 256, 64]block_2_cross_value_states: float32[1, 8, 256, 64]block_3_past_self_key_states: float32[1, 8, 255, 64]block_3_past_self_value_states: float32[1, 8, 255, 64]block_3_cross_key_states: float32[1, 8, 256, 64]block_3_cross_value_states: float32[1, 8, 256, 64]block_4_past_self_key_states: float32[1, 8, 255, 64]block_4_past_self_value_states: float32[1, 8, 255, 64]block_4_cross_key_states: float32[1, 8, 256, 64]block_4_cross_value_states: float32[1, 8, 256, 64]block_5_past_self_key_states: float32[1, 8, 255, 64]block_5_past_self_value_states: float32[1, 8, 255, 64]block_5_cross_key_states: float32[1, 8, 256, 64]block_5_cross_value_states: float32[1, 8, 256, 64]Completion Time
2/22/2026, 5:49:05 AM
Versions
- TensorFlow Lite: 2.17.0
- QAIRT: v2.43.0.260127150333_193827
- QNN TfLite Delegate: v2.43.0.260127150333_193827
- Android: 14 (UAG2.240908.001)
- Build ID: Snapdragon_Auto.HQX.4.5.6.0.r2-00016-STD.PROD-3
- AI Hub: aihub-2026.02.14.0
Estimated Inference Time
6.65 ms
Estimated Peak Memory Usage
0 ‑ 229 MB
Compute Units
NPU
418
| Stage | Time | Memory |
|---|---|---|
First App Load | 26.1 s | 564‑572 MB |
Subsequent App Load | 1.12 s | 132‑362 MB |
Inference | 6.65 ms | 0‑229 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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