4000D vs 4000D
| 4000D | 4000D | Difference | |
|---|---|---|---|
| Single Precision | 3419 | 3419 | 100.0% |
| 4000D | |||
| 4000D | |||
| Half Precision | 3442 | 3442 | 100.0% |
| 4000D | |||
| 4000D | |||
| Quantized | 4076 | 4076 | 100.0% |
| 4000D | |||
| 4000D | |||
| Geekbench AI 1.0.0 | Geekbench AI 1.0.0 | ||
System Information
| 4000D | 4000D | |
|---|---|---|
| AI Framework | OpenVINO | OpenVINO |
| AI Backend | CPU | CPU |
| AI Device | AMD Ryzen 7 3700X 8-Core Processor | AMD Ryzen 7 3700X 8-Core Processor |
| Operating System | Microsoft Windows 11 Pro (64-bit) | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C95 | Micro-Star International Co., Ltd. MS-7C95 |
| Processor |
AMD Ryzen 7 3700X @ 4.20 GHz
1 Processor, 8 Cores, 16 Threads |
AMD Ryzen 7 3700X @ 4.20 GHz
1 Processor, 8 Cores, 16 Threads |
| Processor ID | AuthenticAMD Family 23 Model 113 Stepping 0 | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | Micro-Star International Co., Ltd. MAG B550M BAZOOKA (MS-7C95) | Micro-Star International Co., Ltd. MAG B550M BAZOOKA (MS-7C95) |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends International, LLC. A.F0 | American Megatrends International, LLC. A.F0 |
| Memory | 16.00 GB | 16.00 GB |
AI Performance
| 4000D | 4000D | Difference | |
|---|---|---|---|
| Image Classification (SP) | 2483 | 2483 | 100.0% |
| 4000D | |||
| 4000D | |||
| Image Classification (HP) | 2595 | 2595 | 100.0% |
| 4000D | |||
| 4000D | |||
| Image Classification (Q) | 2897 | 2897 | 100.0% |
| 4000D | |||
| 4000D | |||
| Image Segmentation (SP) | 1038 | 1038 | 100.0% |
| 4000D | |||
| 4000D | |||
| Image Segmentation (HP) | 1046 | 1046 | 100.0% |
| 4000D | |||
| 4000D | |||
| Image Segmentation (Q) | 3014 | 3014 | 100.0% |
| 4000D | |||
| 4000D | |||
| Pose Estimation (SP) | 6553 | 6553 | 100.0% |
| 4000D | |||
| 4000D | |||
| Pose Estimation (HP) | 6580 | 6580 | 100.0% |
| 4000D | |||
| 4000D | |||
| Pose Estimation (Q) | 7171 | 7171 | 100.0% |
| 4000D | |||
| 4000D | |||
| Object Detection (SP) | 2212 | 2212 | 100.0% |
| 4000D | |||
| 4000D | |||
| Object Detection (HP) | 2253 | 2253 | 100.0% |
| 4000D | |||
| 4000D | |||
| Object Detection (Q) | 2866 | 2866 | 100.0% |
| 4000D | |||
| 4000D | |||
| Face Detection (SP) | 4921 | 4921 | 100.0% |
| 4000D | |||
| 4000D | |||
| Face Detection (HP) | 4865 | 4865 | 100.0% |
| 4000D | |||
| 4000D | |||
| Face Detection (Q) | 9264 | 9264 | 100.0% |
| 4000D | |||
| 4000D | |||
| Depth Estimation (SP) | 6917 | 6917 | 100.0% |
| 4000D | |||
| 4000D | |||
| Depth Estimation (HP) | 6911 | 6911 | 100.0% |
| 4000D | |||
| 4000D | |||
| Depth Estimation (Q) | 7796 | 7796 | 100.0% |
| 4000D | |||
| 4000D | |||
| Style Transfer (SP) | 18146 | 18146 | 100.0% |
| 4000D | |||
| 4000D | |||
| Style Transfer (HP) | 18321 | 18321 | 100.0% |
| 4000D | |||
| 4000D | |||
| Style Transfer (Q) | 20258 | 20258 | 100.0% |
| 4000D | |||
| 4000D | |||
| Image Super-Resolution (SP) | 3500 | 3500 | 100.0% |
| 4000D | |||
| 4000D | |||
| Image Super-Resolution (HP) | 3562 | 3562 | 100.0% |
| 4000D | |||
| 4000D | |||
| Image Super-Resolution (Q) | 4077 | 4077 | 100.0% |
| 4000D | |||
| 4000D | |||
| Text Classification (SP) | 1000 | 1000 | 100.0% |
| 4000D | |||
| 4000D | |||
| Text Classification (HP) | 1007 | 1007 | 100.0% |
| 4000D | |||
| 4000D | |||
| Text Classification (Q) | 756 | 756 | 100.0% |
| 4000D | |||
| 4000D | |||
| Machine Translation (SP) | 2704 | 2704 | 100.0% |
| 4000D | |||
| 4000D | |||
| Machine Translation (HP) | 2631 | 2631 | 100.0% |
| 4000D | |||
| 4000D | |||
| Machine Translation (Q) | 1566 | 1566 | 100.0% |
| 4000D | |||
| 4000D | |||
