Profile Job Results

Jobs
jprylln0g
Results Ready
Name
zipformer_ZipformerEncoder
Target Device
  • Dragonwing IQ-9075 EVK
  • Qualcomm Linux 1.7
  • Qualcomm® Dragonwing™ IQ-9075 | QCS9075
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
x: uint16[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: uint16[2, 1, 384]
cached_avg_1: uint16[4, 1, 384]
cached_avg_2: uint16[3, 1, 384]
cached_avg_3: uint16[2, 1, 384]
cached_avg_4: uint16[4, 1, 384]
cached_key_0: uint16[2, 128, 1, 192]
cached_key_1: uint16[4, 64, 1, 192]
cached_key_2: uint16[3, 32, 1, 192]
cached_key_3: uint16[2, 16, 1, 192]
cached_key_4: uint16[4, 64, 1, 192]
cached_val_0: uint16[2, 128, 1, 96]
cached_val_1: uint16[4, 64, 1, 96]
cached_val_2: uint16[3, 32, 1, 96]
cached_val_3: uint16[2, 16, 1, 96]
cached_val_4: uint16[4, 64, 1, 96]
cached_val2_0: uint16[2, 128, 1, 96]
cached_val2_1: uint16[4, 64, 1, 96]
cached_val2_2: uint16[3, 32, 1, 96]
cached_val2_3: uint16[2, 16, 1, 96]
cached_val2_4: uint16[4, 64, 1, 96]
cached_conv1_0: uint16[2, 1, 384, 30]
cached_conv1_1: uint16[4, 1, 384, 30]
cached_conv1_2: uint16[3, 1, 384, 30]
cached_conv1_3: uint16[2, 1, 384, 30]
cached_conv1_4: uint16[4, 1, 384, 30]
cached_conv2_0: uint16[2, 1, 384, 30]
cached_conv2_1: uint16[4, 1, 384, 30]
cached_conv2_2: uint16[3, 1, 384, 30]
cached_conv2_3: uint16[2, 1, 384, 30]
cached_conv2_4: uint16[4, 1, 384, 30]
Completion Time
2/24/2026, 7:01:59 AM
Options
--qairt_version 2.42 --max_profiler_iterations 10
Versions
  • ONNX Runtime: 1.24.1
  • QAIRT: v2.42.0.251225135753_193295
  • Qualcomm Linux: 1.7-ver.1.1
  • AI Hub: aihub-2026.02.14.0
Estimated Inference Time
18.6 ms
Estimated Peak Memory Usage
4 ‑ 7 MB
Compute Units
NPU
2601
StageTimeMemory
First App Load
284 ms161‑162 MB
Subsequent App Load
291 ms159‑160 MB
Inference
18.6 ms4‑7 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"2"
enable_htp_fp16_precision"1"
capture_network_visualizationsfalse
context_priority"normal"
offload_graph_io_quantization"1"

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