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Jobs
jp8q62wqp
Results Ready
Name
trocr_TrOCRDecoder
Target Device
  • XR2 Gen 2 (Proxy)
  • Android 13
  • Qualcomm® QCS8450
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, 10:19:08 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
2.61 ms
Estimated Peak Memory Usage
0 ‑ 47 MB
Compute Units
NPU
399
StageTimeMemory
First App Load
4.53 s983‑991 MB
Subsequent App Load
7.08 s1 GB
Inference
2.61 ms0‑47 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.performance_modekHtpBurst
htp_options.precisionkHtpFp16
htp_options.useConvHmxtrue

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