si-ONNX-cpu vs si-ONNX-cpu
| si-ONNX-cpu | si-ONNX-cpu | Difference | |
|---|---|---|---|
| Single Precision | 1306 | 1306 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Half Precision | 552 | 552 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Quantized | 2593 | 2593 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Geekbench AI 1.4.0 | Geekbench AI 1.4.0 | ||
System Information
| si-ONNX-cpu | si-ONNX-cpu | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | CPU | CPU |
| AI Device | Intel Core i7-1355U | Intel Core i7-1355U |
| Operating System | Microsoft Windows 11 Home (64-bit) | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82Y1 | LENOVO 82Y1 |
| Processor |
Intel Core i7-1355U @ 1.70 GHz
1 Processor, 10 Cores, 12 Threads |
Intel Core i7-1355U @ 1.70 GHz
1 Processor, 10 Cores, 12 Threads |
| Processor ID | GenuineIntel Family 6 Model 186 Stepping 3 | GenuineIntel Family 6 Model 186 Stepping 3 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | LENOVO LNVNB161216 | LENOVO LNVNB161216 |
| Northbridge | ||
| Southbridge | ||
| BIOS | LENOVO L6CN28WW | LENOVO L6CN28WW |
| Memory | 16.00 GB | 16.00 GB |
AI Performance
| si-ONNX-cpu | si-ONNX-cpu | Difference | |
|---|---|---|---|
| Image Classification (SP) | 1194 | 1194 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Image Classification (HP) | 251 | 251 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Image Classification (Q) | 2114 | 2114 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Image Segmentation (SP) | 194 | 194 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Image Segmentation (HP) | 151 | 151 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Image Segmentation (Q) | 780 | 780 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Pose Estimation (SP) | 1183 | 1183 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Pose Estimation (HP) | 755 | 755 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Pose Estimation (Q) | 7065 | 7065 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Object Detection (SP) | 1205 | 1205 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Object Detection (HP) | 345 | 345 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Object Detection (Q) | 2459 | 2459 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Face Detection (SP) | 3176 | 3176 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Face Detection (HP) | 751 | 751 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Face Detection (Q) | 3828 | 3828 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Depth Estimation (SP) | 3249 | 3249 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Depth Estimation (HP) | 900 | 900 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Depth Estimation (Q) | 5761 | 5761 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Style Transfer (SP) | 6099 | 6099 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Style Transfer (HP) | 3836 | 3836 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Style Transfer (Q) | 10786 | 10786 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Image Super-Resolution (SP) | 1100 | 1100 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Image Super-Resolution (HP) | 730 | 730 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Image Super-Resolution (Q) | 2203 | 2203 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Text Classification (SP) | 674 | 674 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Text Classification (HP) | 349 | 349 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Text Classification (Q) | 679 | 679 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Machine Translation (SP) | 937 | 937 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Machine Translation (HP) | 404 | 404 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
| Machine Translation (Q) | 1349 | 1349 | 100.0% |
| si-ONNX-cpu | |||
| si-ONNX-cpu | |||
