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Jobs
j56yr2qnp
Results Ready
Name
trocr_TrOCRDecoder
Target Device
  • Samsung Galaxy S23 (Family)
  • Android 13
  • Snapdragon® 8 Gen 2 | SM8550
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
11/26/2024, 10:15:25 AM
Versions
  • QNN: v2.28.2.241116104011_103376
  • QNN Backend API: 5.28.0
  • QNN Core API: 2.21.0
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2024.11.22.0
Estimated Inference Time
2.35 ms
Estimated Peak Memory Usage
0 ‑ 330 MB
Compute Units
NPU
375
StageTimeMemory
First App Load
3.70 s990‑992 MB
Subsequent App Load
3.00 s1 GB
Inference
2.35 ms0‑330 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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