Profile Job Results
Jobs
jg90d12lg
Results Ready
Name
trocr_TrOCRDecoder
Target Device
- Snapdragon 8 Elite QRD
- Android 15
- Snapdragon® 8 Elite | SM8750
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
3/11/2025, 1:26:47 PM
Versions
- ONNX Runtime: 1.20.1
- QAIRT: v2.32.0.250228225014_116386
- Android: 15 (AQ3A.241126.002)
- Build ID: Pakala.LA.1.0.r1-01152-STD.PROD-1
- AI Hub: aihub-2025.03.06.0
Estimated Inference Time
1.76 ms
Estimated Peak Memory Usage
3 ‑ 69 MB
Compute Units
NPU
395
| Stage | Time | Memory |
|---|---|---|
First App Load | 2.76 s | 741‑748 MB |
Subsequent App Load | 2.71 s | 690‑805 MB |
Inference | 1.76 ms | 3‑69 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" |
Sign up to run this model on a hosted Qualcomm® device!
Run on device