Profile Job Results

Jobs
jg98rd1qp
Results Ready
Name
zipformer_encoder
Target Device
  • Samsung Galaxy S22 5G
  • Android 12
  • Snapdragon® 8 Gen 1 | SM8450
Creator
ai-hub-support@qti.qualcomm.com
Input Specs
x: float32[1, 71, 80]
cached_len_0: int32[2, 1]
cached_len_1: int32[4, 1]
cached_len_2: int32[3, 1]
cached_len_3: int32[2, 1]
cached_len_4: int32[4, 1]
cached_avg_0: float32[2, 1, 384]
cached_avg_1: float32[4, 1, 384]
cached_avg_2: float32[3, 1, 384]
cached_avg_3: float32[2, 1, 384]
cached_avg_4: float32[4, 1, 384]
cached_key_0: float32[2, 128, 1, 192]
cached_key_1: float32[4, 64, 1, 192]
cached_key_2: float32[3, 32, 1, 192]
cached_key_3: float32[2, 16, 1, 192]
cached_key_4: float32[4, 64, 1, 192]
cached_val_0: float32[2, 128, 1, 96]
cached_val_1: float32[4, 64, 1, 96]
cached_val_2: float32[3, 32, 1, 96]
cached_val_3: float32[2, 16, 1, 96]
cached_val_4: float32[4, 64, 1, 96]
cached_val2_0: float32[2, 128, 1, 96]
cached_val2_1: float32[4, 64, 1, 96]
cached_val2_2: float32[3, 32, 1, 96]
cached_val2_3: float32[2, 16, 1, 96]
cached_val2_4: float32[4, 64, 1, 96]
cached_conv1_0: float32[2, 1, 384, 30]
cached_conv1_1: float32[4, 1, 384, 30]
cached_conv1_2: float32[3, 1, 384, 30]
cached_conv1_3: float32[2, 1, 384, 30]
cached_conv1_4: float32[4, 1, 384, 30]
cached_conv2_0: float32[2, 1, 384, 30]
cached_conv2_1: float32[4, 1, 384, 30]
cached_conv2_2: float32[3, 1, 384, 30]
cached_conv2_3: float32[2, 1, 384, 30]
cached_conv2_4: float32[4, 1, 384, 30]
Completion Time
6/13/2026, 11:16:56 AM
Options
--max_profiler_iterations 10
Versions
  • ONNX Runtime: 1.25.0
  • QAIRT: v2.45.0.260326154327
  • Android: 12 (SP1A.210812.016)
  • AI Hub: aihub-2026.06.08.2
Estimated Inference Time
12.2 ms
Estimated Peak Memory Usage
9 ‑ 23 MB
Compute Units
NPU
2546
StageTimeMemory
First App Load
459 ms152‑161 MB
Subsequent App Load
302 ms145‑155 MB
Inference
12.2 ms9‑23 MB
ONNX RuntimeValue
execution_modeSEQUENTIAL
intra_op_num_threads0
inter_op_num_threads0
enable_memory_patternfalse
enable_cpu_memory_arenafalse
graph_optimization_levelENABLE_ALL
QNN Execution ProviderValue
htp_performance_mode"burst"
htp_graph_finalization_optimization_mode"3"
enable_htp_fp16_precision"1"
capture_network_visualizationsfalse
context_priority"normal"
offload_graph_io_quantization"1"

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