Profile Job Results
Jobs
jp18wymng
Results Ready
Name
opus_mt_es_en_float_OpusMTDecoder
Target Device
- SA8295P ADP
- Android 14
- Qualcomm® SA8295P
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
1/27/2026, 5:18:00 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 (UQ1A.240205.002)
- Build ID: SA8295P.HQX.4.5.6.0-00006-STD.PROD-1
- AI Hub: aihub-2026.01.22.0
Estimated Inference Time
4.79 ms
Estimated Peak Memory Usage
0 ‑ 284 MB
Compute Units
NPU
418
| Stage | Time | Memory |
|---|---|---|
First App Load | 9.33 s | 1 GB |
Subsequent App Load | 409 ms | 158‑444 MB |
Inference | 4.79 ms | 0‑284 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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