Dell Inc. Precision Tower 5810
Geekbench AI Score
1098
Single Precision Score
573
Half Precision Score
1062
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 10:00 PM |
| Views | 2 |
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% |
681
126.6 IPS |
|
|
Image Classification (HP)
|
100% |
235
43.8 IPS |
|
|
Image Classification (Q)
|
96% |
803
150.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
620
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
358
5.80 IPS |
|
|
Image Segmentation (Q)
|
97% |
651
10.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1594
1.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
1357
1.58 IPS |
|
|
Pose Estimation (Q)
|
87% |
2201
2.60 IPS |
|
|
Object Detection (SP)
|
100% |
678
53.8 IPS |
|
|
Object Detection (HP)
|
100% |
292
23.2 IPS |
|
|
Object Detection (Q)
|
86% |
602
48.4 IPS |
|
|
Face Detection (SP)
|
100% |
1268
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
631
7.50 IPS |
|
|
Face Detection (Q)
|
96% |
1486
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1931
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
814
6.27 IPS |
|
|
Depth Estimation (Q)
|
77% |
1806
14.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4307
5.54 IPS |
|
|
Style Transfer (HP)
|
100% |
3123
4.01 IPS |
|
|
Style Transfer (Q)
|
87% |
4461
5.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
788
29.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
684
25.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
891
33.0 IPS |
|
|
Text Classification (SP)
|
100% |
816
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
339
452.8 IPS |
|
|
Text Classification (Q)
|
97% |
302
403.9 IPS |
|
|
Machine Translation (SP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
309
5.32 IPS |
|
|
Machine Translation (Q)
|
60% |
818
18.2 IPS |
