AIMB-289 vs AIMB-289
| AIMB-289 | AIMB-289 | Difference | |
|---|---|---|---|
| Single Precision | 2191 | 2191 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Half Precision | 1160 | 1160 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Quantized | 3680 | 3680 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Geekbench AI 1.3.0 | Geekbench AI 1.3.0 | ||
System Information
| AIMB-289 | AIMB-289 | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | CPU | CPU |
| AI Device | Intel Core i3-12100 | Intel Core i3-12100 |
| Operating System | Microsoft Windows 11 Pro (64-bit) | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string | Default string Default string |
| Processor |
Intel Core i3-12100 @ 3.30 GHz
1 Processor, 4 Cores, 8 Threads |
Intel Core i3-12100 @ 3.30 GHz
1 Processor, 4 Cores, 8 Threads |
| Processor ID | GenuineIntel Family 6 Model 151 Stepping 5 | GenuineIntel Family 6 Model 151 Stepping 5 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | Default string Default string | Default string Default string |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends International, LLC. 5.27 | American Megatrends International, LLC. 5.27 |
| Memory | 16.00 GB | 16.00 GB |
AI Performance
| AIMB-289 | AIMB-289 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 1708 | 1708 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Image Classification (HP) | 480 | 480 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Image Classification (Q) | 3880 | 3880 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Image Segmentation (SP) | 968 | 968 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Image Segmentation (HP) | 799 | 799 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Image Segmentation (Q) | 1753 | 1753 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Pose Estimation (SP) | 3320 | 3320 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Pose Estimation (HP) | 2578 | 2578 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Pose Estimation (Q) | 11552 | 11552 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Object Detection (SP) | 1763 | 1763 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Object Detection (HP) | 624 | 624 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Object Detection (Q) | 2888 | 2888 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Face Detection (SP) | 2972 | 2972 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Face Detection (HP) | 1263 | 1263 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Face Detection (Q) | 5003 | 5003 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Depth Estimation (SP) | 3539 | 3539 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Depth Estimation (HP) | 1602 | 1602 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Depth Estimation (Q) | 9175 | 9175 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Style Transfer (SP) | 6793 | 6793 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Style Transfer (HP) | 6282 | 6282 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Style Transfer (Q) | 11304 | 11304 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Image Super-Resolution (SP) | 1616 | 1616 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Image Super-Resolution (HP) | 1203 | 1203 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Image Super-Resolution (Q) | 3154 | 3154 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Text Classification (SP) | 1425 | 1425 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Text Classification (HP) | 712 | 712 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Text Classification (Q) | 535 | 535 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Machine Translation (SP) | 1605 | 1605 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Machine Translation (HP) | 661 | 661 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
| Machine Translation (Q) | 2296 | 2296 | 100.0% |
| AIMB-289 | |||
| AIMB-289 | |||
