Profile Job Results
Jobs
j1glwyemp
Results Ready
Name
trocr_TrOCRDecoder
Target Device
- Samsung Galaxy S23 Ultra
- Android 13
- Snapdragon® 8 Gen 2 | SM8550
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input_ids: int32[1, 1]kv_0_attn_key: float32[1, 8, 1, 32]kv_0_attn_val: float32[1, 8, 1, 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, 1, 32]kv_1_attn_val: float32[1, 8, 1, 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, 1, 32]kv_2_attn_val: float32[1, 8, 1, 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, 1, 32]kv_3_attn_val: float32[1, 8, 1, 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, 1, 32]kv_4_attn_val: float32[1, 8, 1, 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, 1, 32]kv_5_attn_val: float32[1, 8, 1, 32]kv_5_cross_attn_key: float32[1, 8, 578, 32]kv_5_cross_attn_val: float32[1, 8, 578, 32]Completion Time
8/11/2024, 6:09:34 AM
Versions
- QNN: v2.24.0.240626131148_96320
- QNN Backend API: 5.24.0
- QNN Core API: 2.17.0
- Android: 13 (TP1A.220624.014)
- AI Hub: aihub-2024.08.01.0
Estimated Inference Time
2.96 ms
Estimated Peak Memory Usage
0 - 120 MB
Compute Units
NPU
334
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.91 s | 985-986 MB |
Subsequent App Load | 3.27 s | 1 GB |
Inference | 2.96 ms | 0-120 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
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