Profile Job Results
Jobs
jgjle4evp
Results Ready
Name
zipformer_w16a16_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
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_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]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_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_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]x: uint16[1, 71, 80]Completion Time
1/31/2026, 6:32:51 PM
Options
--max_profiler_iterations 10Versions
- QAIRT: v2.42.0.251225135753_193295
- QNN Backend API: 5.41.0
- QNN Core API: 2.32.0
- 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
8.03 ms
Estimated Peak Memory Usage
1 ‑ 11 MB
Compute Units
NPU
2601
| Stage | Time | Memory |
|---|---|---|
First App Load | 139 ms | 1‑8 MB |
Subsequent App Load | 139 ms | 1‑12 MB |
Inference | 8.03 ms | 1‑11 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.optimizations[0].type | FINALIZE_OPTIMIZATION_FLAG |
| default_graph_options.htp_options.optimizations[0].value | 3.0 |
| default_graph_options.htp_options.precision | FLOAT16 |
| default_graph_options.htp_options.vtcm_size | 0 |
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