SZMZ X99-S3 vs SZMZ X99-S3
| SZMZ X99-S3 | SZMZ X99-S3 | Difference | |
|---|---|---|---|
| Single Precision | 9516 | 9516 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Half Precision | 7774 | 7774 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Quantized | 7101 | 7101 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Geekbench AI 1.2.0 | Geekbench AI 1.2.0 | ||
System Information
| SZMZ X99-S3 | SZMZ X99-S3 | |
|---|---|---|
| AI Framework | ONNX | ONNX |
| AI Backend | DirectML | DirectML |
| AI Device | NVIDIA GeForce GTX 1660 SUPER | NVIDIA GeForce GTX 1660 SUPER |
| Operating System | Microsoft Windows 11 Pro (64-bit) | Microsoft Windows 11 Pro (64-bit) |
| Model | SZMZ X99-S3 | SZMZ X99-S3 |
| Processor |
Intel Xeon E5-2680 v4 @ 2.40 GHz
1 Processor, 14 Cores, 28 Threads |
Intel Xeon E5-2680 v4 @ 2.40 GHz
1 Processor, 14 Cores, 28 Threads |
| Processor ID | GenuineIntel Family 6 Model 79 Stepping 1 | GenuineIntel Family 6 Model 79 Stepping 1 |
| Processor Codename | ||
| Processor Package | ||
| Motherboard | SZMZ X99-S3 | SZMZ X99-S3 |
| Northbridge | ||
| Southbridge | ||
| BIOS | American Megatrends Inc. 5.11 | American Megatrends Inc. 5.11 |
| Memory | 32.00 GB | 32.00 GB |
AI Performance
| SZMZ X99-S3 | SZMZ X99-S3 | Difference | |
|---|---|---|---|
| Image Classification (SP) | 3886 | 3886 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Image Classification (HP) | 3720 | 3720 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Image Classification (Q) | 3167 | 3167 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Image Segmentation (SP) | 5980 | 5980 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Image Segmentation (HP) | 5150 | 5150 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Image Segmentation (Q) | 5191 | 5191 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Pose Estimation (SP) | 43000 | 43000 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Pose Estimation (HP) | 26901 | 26901 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Pose Estimation (Q) | 37751 | 37751 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Object Detection (SP) | 4926 | 4926 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Object Detection (HP) | 4592 | 4592 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Object Detection (Q) | 4073 | 4073 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Face Detection (SP) | 10644 | 10644 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Face Detection (HP) | 8954 | 8954 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Face Detection (Q) | 9019 | 9019 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Depth Estimation (SP) | 25231 | 25231 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Depth Estimation (HP) | 19056 | 19056 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Depth Estimation (Q) | 18742 | 18742 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Style Transfer (SP) | 78093 | 78093 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Style Transfer (HP) | 53886 | 53886 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Style Transfer (Q) | 66930 | 66930 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Image Super-Resolution (SP) | 15064 | 15064 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Image Super-Resolution (HP) | 11638 | 11638 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Image Super-Resolution (Q) | 10107 | 10107 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Text Classification (SP) | 1716 | 1716 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Text Classification (HP) | 1380 | 1380 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Text Classification (Q) | 962 | 962 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Machine Translation (SP) | 2283 | 2283 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Machine Translation (HP) | 2309 | 2309 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
| Machine Translation (Q) | 1173 | 1173 | 100.0% |
| SZMZ X99-S3 | |||
| SZMZ X99-S3 | |||
