Dell Inc. Precision Tower 5810
Geekbench AI Score
3082
Single Precision Score
918
Half Precision Score
2751
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 13 2025 09:47 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2699 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | Dell Inc. Precision Tower 5810 |
| Motherboard | Dell Inc. 0HHV7N |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2699 v3 |
| Topology | 1 Processor, 18 Cores |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2543
473.0 IPS |
|
|
Image Classification (HP)
|
100% |
273
50.8 IPS |
|
|
Image Classification (Q)
|
96% |
2607
486.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1127
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
430
6.96 IPS |
|
|
Image Segmentation (Q)
|
97% |
3019
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7812
9.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
4985
5.82 IPS |
|
|
Pose Estimation (Q)
|
86% |
8004
9.46 IPS |
|
|
Object Detection (SP)
|
100% |
2624
208.2 IPS |
|
|
Object Detection (HP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (Q)
|
58% |
1886
206.0 IPS |
|
|
Face Detection (SP)
|
100% |
6951
82.6 IPS |
|
|
Face Detection (HP)
|
100% |
818
9.71 IPS |
|
|
Face Detection (Q)
|
96% |
4583
54.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7895
60.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1200
9.25 IPS |
|
|
Depth Estimation (Q)
|
78% |
6907
55.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15059
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10984
14.1 IPS |
|
|
Style Transfer (Q)
|
87% |
10698
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1816
67.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1433
52.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2278
84.4 IPS |
|
|
Text Classification (SP)
|
100% |
738
984.6 IPS |
|
|
Text Classification (HP)
|
100% |
347
463.3 IPS |
|
|
Text Classification (Q)
|
97% |
227
304.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1191
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
369
6.36 IPS |
|
|
Machine Translation (Q)
|
68% |
1196
23.1 IPS |
