Dell Inc. Precision Tower 7810
Geekbench AI Score
1911
Single Precision Score
605
Half Precision Score
1673
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 31 2024 06:02 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2630 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. Precision Tower 7810 |
| Motherboard | Dell Inc. 0KJCC5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2630 v4 |
| Topology | 2 Processors, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 20 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1617
300.6 IPS |
|
|
Image Classification (HP)
|
100% |
183
34.1 IPS |
|
|
Image Classification (Q)
|
96% |
1720
321.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
328
5.32 IPS |
|
|
Image Segmentation (Q)
|
97% |
837
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4232
4.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
2587
3.02 IPS |
|
|
Pose Estimation (Q)
|
86% |
4946
5.85 IPS |
|
|
Object Detection (SP)
|
100% |
1444
114.5 IPS |
|
|
Object Detection (HP)
|
100% |
248
19.7 IPS |
|
|
Object Detection (Q)
|
58% |
1280
139.9 IPS |
|
|
Face Detection (SP)
|
100% |
3161
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
558
6.63 IPS |
|
|
Face Detection (Q)
|
96% |
3230
38.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4980
38.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
810
6.24 IPS |
|
|
Depth Estimation (Q)
|
78% |
4684
37.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9734
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6274
8.07 IPS |
|
|
Style Transfer (Q)
|
87% |
6882
8.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1252
46.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
967
35.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1017
37.7 IPS |
|
|
Text Classification (SP)
|
100% |
664
886.3 IPS |
|
|
Text Classification (HP)
|
100% |
265
353.6 IPS |
|
|
Text Classification (Q)
|
97% |
190
255.0 IPS |
|
|
Machine Translation (SP)
|
100% |
774
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
236
4.06 IPS |
|
|
Machine Translation (Q)
|
68% |
940
18.2 IPS |
