Dell Inc. Precision Tower 7810
Geekbench AI Score
1964
Single Precision Score
611
Half Precision Score
1732
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 31 2024 05:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2630 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Dell Inc. Precision Tower 7810 |
| Motherboard | Dell Inc. 0KJCC5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2630 v4 |
| Topology | 2 Processors, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 20 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1639
304.9 IPS |
|
|
Image Classification (HP)
|
100% |
189
35.2 IPS |
|
|
Image Classification (Q)
|
96% |
1775
331.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
348
5.64 IPS |
|
|
Image Segmentation (Q)
|
97% |
1002
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4428
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2772
3.23 IPS |
|
|
Pose Estimation (Q)
|
86% |
5225
6.18 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (Q)
|
58% |
1288
140.7 IPS |
|
|
Face Detection (SP)
|
100% |
3965
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
553
6.57 IPS |
|
|
Face Detection (Q)
|
96% |
3269
39.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5176
39.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
826
6.36 IPS |
|
|
Depth Estimation (Q)
|
78% |
4675
37.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9936
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
6327
8.13 IPS |
|
|
Style Transfer (Q)
|
87% |
7330
9.54 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1232
45.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
999
36.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1065
39.5 IPS |
|
|
Text Classification (SP)
|
100% |
551
735.0 IPS |
|
|
Text Classification (HP)
|
100% |
238
317.1 IPS |
|
|
Text Classification (Q)
|
97% |
173
231.2 IPS |
|
|
Machine Translation (SP)
|
100% |
871
15.0 IPS |
|
|
Machine Translation (HP)
|
100% |
258
4.45 IPS |
|
|
Machine Translation (Q)
|
68% |
988
19.1 IPS |
