Dell Inc. Precision Tower 5810
Geekbench AI Score
1037
Single Precision Score
556
Half Precision Score
1044
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 10:10 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-1620 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. Precision Tower 5810 |
| Motherboard | Dell Inc. 0HHV7N |
| Power Plan | Dell |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1620 v4 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
647
120.4 IPS |
|
|
Image Classification (HP)
|
100% |
242
45.0 IPS |
|
|
Image Classification (Q)
|
96% |
808
150.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
615
9.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
370
6.01 IPS |
|
|
Image Segmentation (Q)
|
97% |
722
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1722
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
1419
1.66 IPS |
|
|
Pose Estimation (Q)
|
87% |
2125
2.51 IPS |
|
|
Object Detection (SP)
|
100% |
589
46.7 IPS |
|
|
Object Detection (HP)
|
100% |
265
21.0 IPS |
|
|
Object Detection (Q)
|
86% |
599
48.1 IPS |
|
|
Face Detection (SP)
|
100% |
1182
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
589
7.00 IPS |
|
|
Face Detection (Q)
|
96% |
1442
17.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1812
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
802
6.18 IPS |
|
|
Depth Estimation (Q)
|
77% |
1743
14.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4133
5.31 IPS |
|
|
Style Transfer (HP)
|
100% |
2847
3.66 IPS |
|
|
Style Transfer (Q)
|
87% |
4317
5.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
737
27.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
620
22.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
894
33.1 IPS |
|
|
Text Classification (SP)
|
100% |
683
911.3 IPS |
|
|
Text Classification (HP)
|
100% |
325
433.5 IPS |
|
|
Text Classification (Q)
|
97% |
265
354.9 IPS |
|
|
Machine Translation (SP)
|
100% |
804
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
310
5.35 IPS |
|
|
Machine Translation (Q)
|
60% |
812
18.1 IPS |
