Profile Job Results
Jobs
jp4w1xj1g
Results Ready
Name
opus_mt_en_zh_OpusMTDecoder
Target Device
- Snapdragon 8 Elite Gen 5 QRD
- Android 16
- Snapdragon® 8 Elite Gen 5 | SM8850
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input_ids: int32[1, 1]position: int32[1]encoder_attention_mask: int32[1, 256]block_0_past_self_key_states: float16[1, 8, 255, 64]block_0_past_self_value_states: float16[1, 8, 255, 64]block_0_cross_key_states: float16[1, 8, 256, 64]block_0_cross_value_states: float16[1, 8, 256, 64]block_1_past_self_key_states: float16[1, 8, 255, 64]block_1_past_self_value_states: float16[1, 8, 255, 64]block_1_cross_key_states: float16[1, 8, 256, 64]block_1_cross_value_states: float16[1, 8, 256, 64]block_2_past_self_key_states: float16[1, 8, 255, 64]block_2_past_self_value_states: float16[1, 8, 255, 64]block_2_cross_key_states: float16[1, 8, 256, 64]block_2_cross_value_states: float16[1, 8, 256, 64]block_3_past_self_key_states: float16[1, 8, 255, 64]block_3_past_self_value_states: float16[1, 8, 255, 64]block_3_cross_key_states: float16[1, 8, 256, 64]block_3_cross_value_states: float16[1, 8, 256, 64]block_4_past_self_key_states: float16[1, 8, 255, 64]block_4_past_self_value_states: float16[1, 8, 255, 64]block_4_cross_key_states: float16[1, 8, 256, 64]block_4_cross_value_states: float16[1, 8, 256, 64]block_5_past_self_key_states: float16[1, 8, 255, 64]block_5_past_self_value_states: float16[1, 8, 255, 64]block_5_cross_key_states: float16[1, 8, 256, 64]block_5_cross_value_states: float16[1, 8, 256, 64]Completion Time
2/21/2026, 4:50:32 PM
Versions
- QAIRT: v2.43.0.260127150333_193827
- QNN Backend API: 5.43.0
- QNN Core API: 2.32.0
- Android: 16 (BQ2A.251217.002-BP2A.250705.008)
- Build ID: Kaanapali.LA.1.0.r1-01100-STD.PROD-1
- AI Hub: aihub-2026.02.14.0
Estimated Inference Time
1.91 ms
Estimated Peak Memory Usage
0 ‑ 171 MB
Compute Units
NPU
349
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.74 s | 596‑603 MB |
Subsequent App Load | 118 ms | 1‑173 MB |
Inference | 1.91 ms | 0‑171 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.optimizations[0].type | FINALIZE_OPTIMIZATION_FLAG |
| default_graph_options.htp_options.optimizations[0].value | 3.0 |
| default_graph_options.htp_options.precision | FLOAT16 |
| default_graph_options.htp_options.vtcm_size | 0 |
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