LENOVO 3354DWG vs LENOVO 3354DWG
| LENOVO 3354DWG | LENOVO 3354DWG | Difference | |
|---|---|---|---|
| Single Precision | 326 | 326 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Half Precision | 200 | 200 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Quantized | 292 | 292 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| LENOVO 3354DWG | LENOVO 3354DWG | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | CPU | CPU |
| AI Device | Intel Core i3-3120M | Intel Core i3-3120M |
| Operating System | Microsoft Windows 10 Pro (64-bit) | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 3354DWG | LENOVO 3354DWG |
| Processor |
Intel Core i3-3120M @ 2.50 GHz
1 Processor, 2 Cores, 4 Threads |
Intel Core i3-3120M @ 2.50 GHz
1 Processor, 2 Cores, 4 Threads |
| Processor ID | GenuineIntel Family 6 Model 58 Stepping 9 | GenuineIntel Family 6 Model 58 Stepping 9 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | LENOVO 3354DWG | LENOVO 3354DWG |
| Northbridge | ||
| Southbridge | ||
| BIOS | LENOVO H3ET72WW(1.09) | LENOVO H3ET72WW(1.09) |
| Memory | 8.00 GB | 8.00 GB |
AI Performance
| LENOVO 3354DWG | LENOVO 3354DWG | Difference | |
|---|---|---|---|
| Image Classification (SP) | 207 | 207 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Image Classification (HP) | 86 | 86 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Image Classification (Q) | 176 | 176 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Image Segmentation (SP) | 189 | 189 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Image Segmentation (HP) | 140 | 140 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Image Segmentation (Q) | 187 | 187 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Pose Estimation (SP) | 379 | 379 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Pose Estimation (HP) | 307 | 307 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Pose Estimation (Q) | 390 | 390 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Object Detection (SP) | 206 | 206 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Object Detection (HP) | 112 | 112 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Object Detection (Q) | 148 | 148 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Face Detection (SP) | 593 | 593 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Face Detection (HP) | 290 | 290 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Face Detection (Q) | 523 | 523 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Depth Estimation (SP) | 519 | 519 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Depth Estimation (HP) | 305 | 305 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Depth Estimation (Q) | 481 | 481 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Style Transfer (SP) | 974 | 974 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Style Transfer (HP) | 814 | 814 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Style Transfer (Q) | 954 | 954 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Image Super-Resolution (SP) | 220 | 220 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Image Super-Resolution (HP) | 177 | 177 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Image Super-Resolution (Q) | 226 | 226 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Text Classification (SP) | 198 | 198 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Text Classification (HP) | 128 | 128 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Text Classification (Q) | 134 | 134 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Machine Translation (SP) | 348 | 348 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Machine Translation (HP) | 156 | 156 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
| Machine Translation (Q) | 337 | 337 | 100.0% |
| LENOVO 3354DWG | |||
| LENOVO 3354DWG | |||
