srvsd006 vs srvsd006
| srvsd006 | srvsd006 | Difference | |
|---|---|---|---|
| Single Precision | 1182 | 1182 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Half Precision | 1240 | 1240 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Quantized | 940 | 940 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Geekbench AI 1.5.0 | Geekbench AI 1.5.0 | ||
System Information
| srvsd006 | srvsd006 | |
|---|---|---|
| AI Framework | TensorFlow Lite | TensorFlow Lite |
| AI Backend | CPU | CPU |
| AI Device | Intel Xeon E5-2695 v4 | Intel Xeon E5-2695 v4 |
| Operating System | Oracle Linux Server 9.6 | Oracle Linux Server 9.6 |
| Model | Dell Inc. PowerEdge R730 | Dell Inc. PowerEdge R730 |
| Processor |
Intel Xeon E5-2695 v4 @ 3.30 GHz
2 Processors, 36 Cores, 72 Threads |
Intel Xeon E5-2695 v4 @ 3.30 GHz
2 Processors, 36 Cores, 72 Threads |
| Processor ID | GenuineIntel Family 6 Model 79 Stepping 1 | GenuineIntel Family 6 Model 79 Stepping 1 |
| Motherboard | Dell Inc. 0WCJNT | Dell Inc. 0WCJNT |
| BIOS | Dell Inc. 2.11.0 | Dell Inc. 2.11.0 |
| Memory | 505.28 GB | 505.28 GB |
AI Performance
| srvsd006 | srvsd006 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 901 | 901 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Image Classification (HP) | 946 | 946 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Image Classification (Q) | 735 | 735 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Image Segmentation (SP) | 1500 | 1500 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Image Segmentation (HP) | 1427 | 1427 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Image Segmentation (Q) | 573 | 573 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Pose Estimation (SP) | 1855 | 1855 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Pose Estimation (HP) | 1904 | 1904 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Pose Estimation (Q) | 3463 | 3463 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Object Detection (SP) | 1026 | 1026 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Object Detection (HP) | 1062 | 1062 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Object Detection (Q) | 808 | 808 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Face Detection (SP) | 1414 | 1414 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Face Detection (HP) | 1447 | 1447 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Face Detection (Q) | 1508 | 1508 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Depth Estimation (SP) | 1382 | 1382 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Depth Estimation (HP) | 1341 | 1341 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Depth Estimation (Q) | 1299 | 1299 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Style Transfer (SP) | 1916 | 1916 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Style Transfer (HP) | 1934 | 1934 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Style Transfer (Q) | 4154 | 4154 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Image Super-Resolution (SP) | 738 | 738 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Image Super-Resolution (HP) | 926 | 926 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Image Super-Resolution (Q) | 1049 | 1049 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Text Classification (SP) | 569 | 569 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Text Classification (HP) | 665 | 665 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Text Classification (Q) | 193 | 193 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Machine Translation (SP) | 1317 | 1317 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Machine Translation (HP) | 1365 | 1365 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
| Machine Translation (Q) | 279 | 279 | 100.0% |
| srvsd006 | |||
| srvsd006 | |||
