Dell Inc. Precision Tower 5810
Geekbench AI Score
2913
Single Precision Score
997
Half Precision Score
2737
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 03 2025 10:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2680 v3 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Dell Inc. Precision Tower 5810 |
| Motherboard | Dell Inc. 0HHV7N |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v3 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2613
486.0 IPS |
|
|
Image Classification (HP)
|
100% |
299
55.5 IPS |
|
|
Image Classification (Q)
|
96% |
2423
452.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1213
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.04 IPS |
|
|
Image Segmentation (Q)
|
97% |
1470
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6130
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
4693
5.48 IPS |
|
|
Pose Estimation (Q)
|
86% |
6709
7.93 IPS |
|
|
Object Detection (SP)
|
100% |
2277
180.6 IPS |
|
|
Object Detection (HP)
|
100% |
404
32.1 IPS |
|
|
Object Detection (Q)
|
58% |
1806
197.3 IPS |
|
|
Face Detection (SP)
|
100% |
4279
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
938
11.1 IPS |
|
|
Face Detection (Q)
|
96% |
4668
55.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7159
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1296
9.99 IPS |
|
|
Depth Estimation (Q)
|
78% |
5904
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13093
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10674
13.7 IPS |
|
|
Style Transfer (Q)
|
87% |
9831
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2048
75.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1637
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1713
63.5 IPS |
|
|
Text Classification (SP)
|
100% |
943
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
430
574.0 IPS |
|
|
Text Classification (Q)
|
97% |
742
994.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1284
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (Q)
|
68% |
1593
30.8 IPS |
