JGINYUE vs JGINYUE
| JGINYUE | JGINYUE | Difference | |
|---|---|---|---|
| Single Precision | 342 | 342 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Half Precision | 341 | 341 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Quantized | 1854 | 1854 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
System Information
| JGINYUE | JGINYUE | |
|---|---|---|
| AI Framework | OpenVINO | OpenVINO |
| AI Backend | CPU | CPU |
| AI Device | Intel(R) Xeon(R) CPU E5-2697 v2 @ 2.70GHz | Intel(R) Xeon(R) CPU E5-2697 v2 @ 2.70GHz |
| Operating System | Microsoft Windows 11 (64-bit) | Microsoft Windows 11 (64-bit) |
| Model | JGINYUE | JGINYUE |
| Processor |
Intel Xeon E5-2697 v2 @ 2.70 GHz
1 Processor, 12 Cores, 24 Threads |
Intel Xeon E5-2697 v2 @ 2.70 GHz
1 Processor, 12 Cores, 24 Threads |
| Processor ID | GenuineIntel Family 6 Model 62 Stepping 4 | GenuineIntel Family 6 Model 62 Stepping 4 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | JGINYUE X79M-PLUS | JGINYUE X79M-PLUS |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends Inc. 4.6.5 | American Megatrends Inc. 4.6.5 |
| Memory | 128.00 GB | 128.00 GB |
AI Performance
| JGINYUE | JGINYUE | Difference | |
|---|---|---|---|
| Image Classification (SP) | 709 | 709 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Image Classification (HP) | 616 | 616 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Image Classification (Q) | 1363 | 1363 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Image Segmentation (SP) | 78 | 78 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Image Segmentation (HP) | 78 | 78 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Image Segmentation (Q) | 1346 | 1346 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Pose Estimation (SP) | 1554 | 1554 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Pose Estimation (HP) | 1542 | 1542 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Pose Estimation (Q) | 3617 | 3617 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Object Detection (SP) | 683 | 683 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Object Detection (HP) | 702 | 702 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Object Detection (Q) | 1423 | 1423 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Face Detection (SP) | 1984 | 1984 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Face Detection (HP) | 2207 | 2207 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Face Detection (Q) | 4206 | 4206 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Depth Estimation (SP) | 0 | 0 | |
| JGINYUE | |||
| JGINYUE | |||
| Depth Estimation (HP) | 0 | 0 | |
| JGINYUE | |||
| JGINYUE | |||
| Depth Estimation (Q) | 3775 | 3775 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Style Transfer (SP) | 397 | 397 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Style Transfer (HP) | 427 | 427 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Style Transfer (Q) | 9506 | 9506 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Image Super-Resolution (SP) | 998 | 998 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Image Super-Resolution (HP) | 783 | 783 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Image Super-Resolution (Q) | 1514 | 1514 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Text Classification (SP) | 594 | 594 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Text Classification (HP) | 740 | 740 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Text Classification (Q) | 288 | 288 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Machine Translation (SP) | 821 | 821 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Machine Translation (HP) | 767 | 767 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Machine Translation (Q) | 775 | 775 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
