JGINYUE vs JGINYUE
| JGINYUE | JGINYUE | Difference | |
|---|---|---|---|
| Single Precision | 8717 | 8717 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Half Precision | 13563 | 13563 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Quantized | 6495 | 6495 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Geekbench AI 1.1.0 | Geekbench AI 1.1.0 | ||
System Information
| JGINYUE | JGINYUE | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | DirectML | DirectML |
| AI Device | NVIDIA GeForce RTX 2060 SUPER | NVIDIA GeForce RTX 2060 SUPER |
| 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) | 3744 | 3744 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Image Classification (HP) | 5673 | 5673 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Image Classification (Q) | 2956 | 2956 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Image Segmentation (SP) | 4766 | 4766 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Image Segmentation (HP) | 5453 | 5453 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Image Segmentation (Q) | 4259 | 4259 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Pose Estimation (SP) | 47984 | 47984 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Pose Estimation (HP) | 149608 | 149608 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Pose Estimation (Q) | 42467 | 42467 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Object Detection (SP) | 4693 | 4693 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Object Detection (HP) | 7060 | 7060 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Object Detection (Q) | 3586 | 3586 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Face Detection (SP) | 9864 | 9864 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Face Detection (HP) | 12862 | 12862 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Face Detection (Q) | 8097 | 8097 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Depth Estimation (SP) | 25745 | 25745 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Depth Estimation (HP) | 44768 | 44768 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Depth Estimation (Q) | 18564 | 18564 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Style Transfer (SP) | 88047 | 88047 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Style Transfer (HP) | 199889 | 199889 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Style Transfer (Q) | 75636 | 75636 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Image Super-Resolution (SP) | 15114 | 15114 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Image Super-Resolution (HP) | 22532 | 22532 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Image Super-Resolution (Q) | 9873 | 9873 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Text Classification (SP) | 1314 | 1314 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Text Classification (HP) | 1759 | 1759 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Text Classification (Q) | 847 | 847 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Machine Translation (SP) | 1421 | 1421 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Machine Translation (HP) | 1414 | 1414 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
| Machine Translation (Q) | 733 | 733 | 100.0% |
| JGINYUE | |||
| JGINYUE | |||
