LENOVO S5030 vs LENOVO S5030
| LENOVO S5030 | LENOVO S5030 | Difference | |
|---|---|---|---|
| Single Precision | 583 | 583 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Half Precision | 341 | 341 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Quantized | 580 | 580 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| LENOVO S5030 | LENOVO S5030 | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | CPU | CPU |
| AI Device | Intel Core i5-5200U | Intel Core i5-5200U |
| Operating System | Windows 10 Pro (64-bit) | Windows 10 Pro (64-bit) |
| Model | LENOVO S5030 | LENOVO S5030 |
| Processor |
Intel Core i5-5200U @ 2.20 GHz
1 Processor, 2 Cores, 4 Threads |
Intel Core i5-5200U @ 2.20 GHz
1 Processor, 2 Cores, 4 Threads |
| Processor ID | GenuineIntel Family 6 Model 61 Stepping 4 | GenuineIntel Family 6 Model 61 Stepping 4 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | LENOVO CRESCENTBAY | LENOVO CRESCENTBAY |
| Northbridge | ||
| Southbridge | ||
| BIOS | LENOVO O18KT15AUS | LENOVO O18KT15AUS |
| Memory | 8.00 GB | 8.00 GB |
AI Performance
| LENOVO S5030 | LENOVO S5030 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 396 | 396 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Image Classification (HP) | 161 | 161 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Image Classification (Q) | 456 | 456 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Image Segmentation (SP) | 209 | 209 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Image Segmentation (HP) | 166 | 166 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Image Segmentation (Q) | 275 | 275 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Pose Estimation (SP) | 875 | 875 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Pose Estimation (HP) | 733 | 733 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Pose Estimation (Q) | 970 | 970 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Object Detection (SP) | 392 | 392 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Object Detection (HP) | 189 | 189 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Object Detection (Q) | 311 | 311 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Face Detection (SP) | 780 | 780 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Face Detection (HP) | 379 | 379 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Face Detection (Q) | 1096 | 1096 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Depth Estimation (SP) | 1073 | 1073 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Depth Estimation (HP) | 507 | 507 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Depth Estimation (Q) | 1118 | 1118 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Style Transfer (SP) | 2044 | 2044 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Style Transfer (HP) | 1663 | 1663 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Style Transfer (Q) | 2035 | 2035 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Image Super-Resolution (SP) | 444 | 444 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Image Super-Resolution (HP) | 373 | 373 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Image Super-Resolution (Q) | 462 | 462 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Text Classification (SP) | 415 | 415 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Text Classification (HP) | 230 | 230 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Text Classification (Q) | 206 | 206 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Machine Translation (SP) | 514 | 514 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Machine Translation (HP) | 213 | 213 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
| Machine Translation (Q) | 487 | 487 | 100.0% |
| LENOVO S5030 | |||
| LENOVO S5030 | |||
