Profile Job Results

Jobs
jp2m90rq5
Results Ready
Name
zipformer_float_ZipformerEncoder
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
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
1/27/2026, 5:11:05 AM
Options
--qairt_version 2.37 --max_profiler_iterations 10
Versions
  • ONNX Runtime: 1.23.0
  • QAIRT: v2.37.1.250807093845_124904
  • Android: 16 (BQ2A.251016.001-BP2A.250605.031.A3)
  • Build ID: Kaanapali.LA.1.0.r1-01040-STD.PROD-1
  • AI Hub: aihub-2026.01.22.0
Estimated Inference Time
5.37 ms
Estimated Peak Memory Usage
10 ‑ 20 MB
Compute Units
NPU
2561
StageTimeMemory
First App Load
138 ms152‑158 MB
Subsequent App Load
120 ms146‑157 MB
Inference
5.37 ms10‑20 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"

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

Run on device