Profile Job Results

Jobs
jz57oev9g
Results Ready
Name
trocr_TrOCRDecoder
Target Device
  • SA8255 (Proxy)
  • Android 13
  • Qualcomm® SA8255P
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, 6:55:57 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
2.57 ms
Estimated Peak Memory Usage
1 - 3 MB
Compute Units
NPU
334
StageTimeMemory
First App Load
222 ms2-3 MB
Subsequent App Load
192 ms1-2 MB
Inference
2.57 ms1-3 MB
QNNValue
context_options.htp_options.performance_modeBURST
default_graph_options.htp_options.precisionFLOAT16

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