LENOVO 20238 vs LENOVO 20238
| LENOVO 20238 | LENOVO 20238 | Difference | |
|---|---|---|---|
| Single Precision | 175 | 175 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Half Precision | 97 | 97 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Quantized | 161 | 161 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Geekbench AI 1.3.0 | Geekbench AI 1.3.0 | ||
System Information
| LENOVO 20238 | LENOVO 20238 | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | CPU | CPU |
| AI Device | Intel Core i5-4200M | Intel Core i5-4200M |
| Operating System | Microsoft Windows 10 Pro (64-bit) | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 20238 | LENOVO 20238 |
| Processor |
Intel Core i5-4200M @ 2.50 GHz
1 Processor, 2 Cores, 4 Threads |
Intel Core i5-4200M @ 2.50 GHz
1 Processor, 2 Cores, 4 Threads |
| Processor ID | GenuineIntel Family 6 Model 60 Stepping 3 | GenuineIntel Family 6 Model 60 Stepping 3 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | LENOVO INVALID | LENOVO INVALID |
| Northbridge | ||
| Southbridge | ||
| BIOS | LENOVO 79CN46WW(V3.05) | LENOVO 79CN46WW(V3.05) |
| Memory | 4.00 GB | 4.00 GB |
AI Performance
| LENOVO 20238 | LENOVO 20238 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 112 | 112 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Image Classification (HP) | 39 | 39 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Image Classification (Q) | 111 | 111 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Image Segmentation (SP) | 88 | 88 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Image Segmentation (HP) | 57 | 57 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Image Segmentation (Q) | 91 | 91 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Pose Estimation (SP) | 227 | 227 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Pose Estimation (HP) | 189 | 189 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Pose Estimation (Q) | 275 | 275 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Object Detection (SP) | 114 | 114 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Object Detection (HP) | 52 | 52 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Object Detection (Q) | 81 | 81 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Face Detection (SP) | 297 | 297 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Face Detection (HP) | 119 | 119 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Face Detection (Q) | 286 | 286 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Depth Estimation (SP) | 287 | 287 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Depth Estimation (HP) | 146 | 146 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Depth Estimation (Q) | 307 | 307 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Style Transfer (SP) | 597 | 597 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Style Transfer (HP) | 442 | 442 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Style Transfer (Q) | 648 | 648 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Image Super-Resolution (SP) | 131 | 131 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Image Super-Resolution (HP) | 106 | 106 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Image Super-Resolution (Q) | 137 | 137 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Text Classification (SP) | 94 | 94 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Text Classification (HP) | 65 | 65 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Text Classification (Q) | 52 | 52 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Machine Translation (SP) | 177 | 177 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Machine Translation (HP) | 69 | 69 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
| Machine Translation (Q) | 130 | 130 | 100.0% |
| LENOVO 20238 | |||
| LENOVO 20238 | |||
