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Jobs
j5w2e93j5
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
4/8/2025, 9:34:07 AM
Versions
  • QAIRT: v2.32.0.250228225014_116386
  • QNN Backend API: 5.32.0
  • QNN Core API: 2.24.0
  • Android: 15 (AQ3A.241126.002)
  • Build ID: Pakala.LA.1.0.r1-01152-STD.PROD-1
  • AI Hub: aihub-2025.03.24.0
Estimated Inference Time
1.24 ms
Estimated Peak Memory Usage
1 ‑ 63 MB
Compute Units
NPU
375
StageTimeMemory
First App Load
2.69 s590‑597 MB
Subsequent App Load
2.75 s547‑655 MB
Inference
1.24 ms1‑63 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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