Dell Inc. Precision Tower 5810
Geekbench AI Score
2257
Single Precision Score
733
Half Precision Score
2192
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | KrzysztofBasiura |
| Upload Date | September 18 2025 08:26 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2698 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. Precision Tower 5810 |
| Motherboard | Dell Inc. 0K240Y |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2698 v4 |
| Topology | 1 Processor, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 20 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1740
323.6 IPS |
|
|
Image Classification (HP)
|
100% |
227
42.2 IPS |
|
|
Image Classification (Q)
|
96% |
2448
457.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
375
6.07 IPS |
|
|
Image Segmentation (Q)
|
97% |
1144
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5171
6.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
3622
4.23 IPS |
|
|
Pose Estimation (Q)
|
86% |
6906
8.16 IPS |
|
|
Object Detection (SP)
|
100% |
1677
133.0 IPS |
|
|
Object Detection (HP)
|
100% |
307
24.3 IPS |
|
|
Object Detection (Q)
|
58% |
1671
182.6 IPS |
|
|
Face Detection (SP)
|
100% |
4795
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
759
9.01 IPS |
|
|
Face Detection (Q)
|
96% |
4194
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5316
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
951
7.32 IPS |
|
|
Depth Estimation (Q)
|
78% |
5764
46.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10231
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6350
8.16 IPS |
|
|
Style Transfer (Q)
|
87% |
9923
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1449
53.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1275
47.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1355
50.2 IPS |
|
|
Text Classification (SP)
|
100% |
659
879.1 IPS |
|
|
Text Classification (HP)
|
100% |
295
393.6 IPS |
|
|
Text Classification (Q)
|
97% |
220
294.4 IPS |
|
|
Machine Translation (SP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.77 IPS |
|
|
Machine Translation (Q)
|
68% |
1112
21.5 IPS |
