Profile Job Results
Jobs
jgl2nwemp
Results Ready
Name
trocr_TrOCRDecoder
Target Device
- Samsung Galaxy S25
- Android 15
- Snapdragon® 8 Elite for Galaxy | SM8750-AC
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input_ids: int32[1, 1]index: int32[1]kv_0_attn_key: float32[1, 8, 19, 32]kv_0_attn_val: float32[1, 8, 19, 32]kv_0_cross_attn_key: float32[1, 8, 578, 32]kv_0_cross_attn_val: float32[1, 8, 578, 32]kv_1_attn_key: float32[1, 8, 19, 32]kv_1_attn_val: float32[1, 8, 19, 32]kv_1_cross_attn_key: float32[1, 8, 578, 32]kv_1_cross_attn_val: float32[1, 8, 578, 32]kv_2_attn_key: float32[1, 8, 19, 32]kv_2_attn_val: float32[1, 8, 19, 32]kv_2_cross_attn_key: float32[1, 8, 578, 32]kv_2_cross_attn_val: float32[1, 8, 578, 32]kv_3_attn_key: float32[1, 8, 19, 32]kv_3_attn_val: float32[1, 8, 19, 32]kv_3_cross_attn_key: float32[1, 8, 578, 32]kv_3_cross_attn_val: float32[1, 8, 578, 32]kv_4_attn_key: float32[1, 8, 19, 32]kv_4_attn_val: float32[1, 8, 19, 32]kv_4_cross_attn_key: float32[1, 8, 578, 32]kv_4_cross_attn_val: float32[1, 8, 578, 32]kv_5_attn_key: float32[1, 8, 19, 32]kv_5_attn_val: float32[1, 8, 19, 32]kv_5_cross_attn_key: float32[1, 8, 578, 32]kv_5_cross_attn_val: float32[1, 8, 578, 32]Completion Time
9/27/2025, 2:55:02 PM
Options
--qairt_version 2.37Versions
- ONNX Runtime: 1.22.2
- QAIRT: v2.37.1.250807093845_124904
- Android: 15 (AP3A.240905.015.A2)
- AI Hub: aihub-2025.09.23.1
Estimated Inference Time
1.44 ms
Estimated Peak Memory Usage
0 ‑ 154 MB
Compute Units
NPU
420
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.97 s | 659‑667 MB |
Subsequent App Load | 4.19 s | 592‑863 MB |
Inference | 1.44 ms | 0‑154 MB |
| ONNX Runtime | Value |
|---|---|
| execution_mode | SEQUENTIAL |
| intra_op_num_threads | 0 |
| inter_op_num_threads | 0 |
| enable_memory_pattern | false |
| enable_cpu_memory_arena | false |
| graph_optimization_level | ENABLE_ALL |
| QNN Execution Provider | Value |
|---|---|
| htp_performance_mode | "burst" |
| htp_graph_finalization_optimization_mode | "3" |
| enable_htp_fp16_precision | "1" |
| capture_network_visualizations | false |
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