Dell Inc. Precision Tower 5810
Geekbench AI Score
1910
Single Precision Score
1986
Half Precision Score
1481
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | KrzysztofBasiura |
| Upload Date | September 18 2025 08:35 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro M2000 |
| 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% |
727
135.2 IPS |
|
|
Image Classification (HP)
|
100% |
746
138.8 IPS |
|
|
Image Classification (Q)
|
100% |
640
119.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1231
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1021
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6341
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
6593
7.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
5792
6.78 IPS |
|
|
Object Detection (SP)
|
100% |
981
77.8 IPS |
|
|
Object Detection (HP)
|
100% |
1044
82.8 IPS |
|
|
Object Detection (Q)
|
85% |
848
68.2 IPS |
|
|
Face Detection (SP)
|
100% |
1970
23.4 IPS |
|
|
Face Detection (HP)
|
100% |
2129
25.3 IPS |
|
|
Face Detection (Q)
|
97% |
1654
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3039
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3139
24.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
2563
20.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12350
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12902
16.6 IPS |
|
|
Style Transfer (Q)
|
98% |
10760
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2347
86.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2518
93.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1822
67.5 IPS |
|
|
Text Classification (SP)
|
100% |
591
789.0 IPS |
|
|
Text Classification (HP)
|
100% |
600
800.5 IPS |
|
|
Text Classification (Q)
|
97% |
369
494.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1133
19.5 IPS |
|
|
Machine Translation (HP)
|
94% |
1114
19.3 IPS |
|
|
Machine Translation (Q)
|
70% |
519
9.74 IPS |
