Dell Inc. Precision Tower 7810
Geekbench AI Score
3505
Single Precision Score
1118
Half Precision Score
3488
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | darronb |
| Upload Date | December 20 2025 08:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2680 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Dell Inc. Precision Tower 7810 |
| Motherboard | Dell Inc. 0GWHMW |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 14 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3060
569.0 IPS |
|
|
Image Classification (HP)
|
100% |
334
62.1 IPS |
|
|
Image Classification (Q)
|
96% |
2934
547.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
532
8.62 IPS |
|
|
Image Segmentation (Q)
|
97% |
3792
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7616
8.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
5704
6.66 IPS |
|
|
Pose Estimation (Q)
|
86% |
7660
9.06 IPS |
|
|
Object Detection (SP)
|
100% |
2916
231.3 IPS |
|
|
Object Detection (HP)
|
100% |
453
35.9 IPS |
|
|
Object Detection (Q)
|
58% |
2220
242.5 IPS |
|
|
Face Detection (SP)
|
100% |
6624
78.7 IPS |
|
|
Face Detection (HP)
|
100% |
1018
12.1 IPS |
|
|
Face Detection (Q)
|
96% |
5428
64.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8125
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1417
10.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
6881
54.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15495
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12384
15.9 IPS |
|
|
Style Transfer (Q)
|
87% |
11449
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2166
80.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1706
63.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2539
94.1 IPS |
|
|
Text Classification (SP)
|
100% |
1016
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
464
619.6 IPS |
|
|
Text Classification (Q)
|
97% |
741
992.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1550
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
472
8.13 IPS |
|
|
Machine Translation (Q)
|
68% |
1752
33.8 IPS |
