Qualcomm® AI HubAI Hub

Profile Job Results

Jobs
jgdx8nr6p
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]
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, 10:15:23 AM
Versions
  • TensorFlow Lite: 2.17.0
  • QNN TfLite Delegate: v2.28.2.241116104011_103376
  • Android: 13 (TP1A.220624.014)
  • AI Hub: aihub-2024.11.22.0
Estimated Inference Time
2.20 ms
Estimated Peak Memory Usage
0 ‑ 285 MB
Compute Units
NPU
399
StageTimeMemory
First App Load
3.29 s988‑989 MB
Subsequent App Load
3.57 s0‑1 GB
Inference
2.20 ms0‑285 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.performance_modekHtpBurst
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue

Sign up to run this model on a hosted Qualcomm® device!

Run on device