| JGINYUE | JGINYUE | Difference | |
|---|---|---|---|
| Single Precision | 981 | 981 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Half Precision | 506 | 506 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Quantized | 954 | 954 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
| JGINYUE | JGINYUE | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | CPU | CPU |
| AI Device | Intel Xeon E5-2697 v2 | Intel Xeon E5-2697 v2 |
| 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 |
| JGINYUE | JGINYUE | Difference | |
|---|---|---|---|
| Image Classification (SP) | 542 | 542 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Image Classification (HP) | 177 | 177 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Image Classification (Q) | 911 | 911 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Image Segmentation (SP) | 519 | 519 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Image Segmentation (HP) | 296 | 296 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Image Segmentation (Q) | 541 | 541 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Pose Estimation (SP) | 1700 | 1700 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Pose Estimation (HP) | 1417 | 1417 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Pose Estimation (Q) | 2441 | 2441 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Object Detection (SP) | 626 | 626 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Object Detection (HP) | 232 | 232 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Object Detection (Q) | 612 | 612 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Face Detection (SP) | 1131 | 1131 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Face Detection (HP) | 556 | 556 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Face Detection (Q) | 1351 | 1351 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Depth Estimation (SP) | 2036 | 2036 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Depth Estimation (HP) | 725 | 725 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Depth Estimation (Q) | 1721 | 1721 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Style Transfer (SP) | 4049 | 4049 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Style Transfer (HP) | 3818 | 3818 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Style Transfer (Q) | 4629 | 4629 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Image Super-Resolution (SP) | 832 | 832 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Image Super-Resolution (HP) | 693 | 693 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Image Super-Resolution (Q) | 954 | 954 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Text Classification (SP) | 522 | 522 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Text Classification (HP) | 247 | 247 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Text Classification (Q) | 204 | 204 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Machine Translation (SP) | 681 | 681 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Machine Translation (HP) | 246 | 246 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Machine Translation (Q) | 405 | 405 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||