Profile Job Results
Jobs
j1p3ozqnp
Results Ready
Name
trocr_TrOCRDecoder
Target Device
- Samsung Galaxy S24+
- Android 14
- Snapdragon® 8 Gen 3 | SM8650
Creator
ai-hub-support@qti.qualcomm.com
Target Model
Input Specs
input_ids: int32[1, 1]kv_0_attn_key: float32[1, 8, 1, 32]kv_0_attn_val: float32[1, 8, 1, 32]kv_0_cross_attn_key: float32[1, 8, 578, 32]kv_0_cross_attn_val: float32[1, 8, 578, 32]kv_1_attn_key: float32[1, 8, 1, 32]kv_1_attn_val: float32[1, 8, 1, 32]kv_1_cross_attn_key: float32[1, 8, 578, 32]kv_1_cross_attn_val: float32[1, 8, 578, 32]kv_2_attn_key: float32[1, 8, 1, 32]kv_2_attn_val: float32[1, 8, 1, 32]kv_2_cross_attn_key: float32[1, 8, 578, 32]kv_2_cross_attn_val: float32[1, 8, 578, 32]kv_3_attn_key: float32[1, 8, 1, 32]kv_3_attn_val: float32[1, 8, 1, 32]kv_3_cross_attn_key: float32[1, 8, 578, 32]kv_3_cross_attn_val: float32[1, 8, 578, 32]kv_4_attn_key: float32[1, 8, 1, 32]kv_4_attn_val: float32[1, 8, 1, 32]kv_4_cross_attn_key: float32[1, 8, 578, 32]kv_4_cross_attn_val: float32[1, 8, 578, 32]kv_5_attn_key: float32[1, 8, 1, 32]kv_5_attn_val: float32[1, 8, 1, 32]kv_5_cross_attn_key: float32[1, 8, 578, 32]kv_5_cross_attn_val: float32[1, 8, 578, 32]Completion Time
8/11/2024, 5:47:56 AM
Versions
- QNN: v2.24.0.240626131148_96320
- QNN Backend API: 5.24.0
- QNN Core API: 2.17.0
- Android: 14 (UP1A.231005.007)
- AI Hub: aihub-2024.08.01.0
Estimated Inference Time
2.17 ms
Estimated Peak Memory Usage
0 - 50 MB
Compute Units
NPU
334
| Stage | Time | Memory |
|---|---|---|
First App Load | 3.49 s | 948-955 MB |
Subsequent App Load | 3.12 s | 726-933 MB |
Inference | 2.17 ms | 0-50 MB |
| QNN | Value |
|---|---|
| context_options.htp_options.performance_mode | BURST |
| default_graph_options.htp_options.precision | FLOAT16 |
Sign up to run this model on a hosted Qualcomm® device!
Run on device