Profile Job Results

Jobs
jg9448785
Results Ready
Name
opus_mt_en_es_float_OpusMTDecoder
Target Device
  • Snapdragon 8 Elite Gen 5 QRD
  • Android 16
  • Snapdragon® 8 Elite Gen 5 | SM8850
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input_ids: int32[1, 1]
encoder_attention_mask: int32[1, 256]
position: int32[1]
block_0_past_self_key_states: float32[1, 8, 255, 64]
block_0_past_self_value_states: float32[1, 8, 255, 64]
block_0_cross_key_states: float32[1, 8, 256, 64]
block_0_cross_value_states: float32[1, 8, 256, 64]
block_1_past_self_key_states: float32[1, 8, 255, 64]
block_1_past_self_value_states: float32[1, 8, 255, 64]
block_1_cross_key_states: float32[1, 8, 256, 64]
block_1_cross_value_states: float32[1, 8, 256, 64]
block_2_past_self_key_states: float32[1, 8, 255, 64]
block_2_past_self_value_states: float32[1, 8, 255, 64]
block_2_cross_key_states: float32[1, 8, 256, 64]
block_2_cross_value_states: float32[1, 8, 256, 64]
block_3_past_self_key_states: float32[1, 8, 255, 64]
block_3_past_self_value_states: float32[1, 8, 255, 64]
block_3_cross_key_states: float32[1, 8, 256, 64]
block_3_cross_value_states: float32[1, 8, 256, 64]
block_4_past_self_key_states: float32[1, 8, 255, 64]
block_4_past_self_value_states: float32[1, 8, 255, 64]
block_4_cross_key_states: float32[1, 8, 256, 64]
block_4_cross_value_states: float32[1, 8, 256, 64]
block_5_past_self_key_states: float32[1, 8, 255, 64]
block_5_past_self_value_states: float32[1, 8, 255, 64]
block_5_cross_key_states: float32[1, 8, 256, 64]
block_5_cross_value_states: float32[1, 8, 256, 64]
Completion Time
2/1/2026, 12:08:08 AM
Versions
  • TensorFlow Lite: 2.17.0
  • QAIRT: v2.42.0.251225135753_193295
  • QNN TfLite Delegate: v2.42.0.251225135753_193295
  • Android: 16 (BQ2A.251217.002-BP2A.250705.008)
  • Build ID: Kaanapali.LA.1.0.r1-01100-STD.PROD-1
  • AI Hub: aihub-2026.01.22.0
Estimated Inference Time
2.14 ms
Estimated Peak Memory Usage
0 ‑ 364 MB
Compute Units
NPU
418
StageTimeMemory
First App Load
5.10 s2 GB
Subsequent App Load
138 ms172‑539 MB
Inference
2.14 ms0‑364 MB
TensorFlow LiteValue
number_of_threads4
QNN DelegateValue
backend_typekHtpBackend
log_levelkLogLevelWarn
htp_options.performance_modekHtpBurst
htp_options.precisionkHtpFp16
htp_options.optimization_strategykHtpOptimizeForInferenceO3
htp_options.useConvHmxtrue

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

Run on device