Dell Inc. PowerEdge R620
Geekbench AI Score
1232
Single Precision Score
334
Half Precision Score
785
Quantized Score
Geekbench AI 1.2.0 for Linux x86 (64-bit)
Result Information
| Upload Date | April 23 2025 04:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2620 |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | Dell Inc. PowerEdge R620 |
| Motherboard | Dell Inc. 0PXXHP |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2620 |
| Topology | 2 Processors, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.81 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
676
125.8 IPS |
|
|
Image Classification (HP)
|
100% |
77
14.3 IPS |
|
|
Image Classification (Q)
|
97% |
451
84.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
563
9.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
125
2.02 IPS |
|
|
Image Segmentation (Q)
|
99% |
658
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2634
3.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
1799
2.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
1389
1.63 IPS |
|
|
Object Detection (SP)
|
100% |
758
60.1 IPS |
|
|
Object Detection (HP)
|
100% |
103
8.20 IPS |
|
|
Object Detection (Q)
|
86% |
468
37.6 IPS |
|
|
Face Detection (SP)
|
100% |
1470
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
170
2.02 IPS |
|
|
Face Detection (Q)
|
97% |
1805
21.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2815
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
436
3.36 IPS |
|
|
Depth Estimation (Q)
|
78% |
1234
9.82 IPS |
|
|
Style Transfer (SP)
|
100% |
6136
7.89 IPS |
|
|
Style Transfer (HP)
|
100% |
4894
6.29 IPS |
|
|
Style Transfer (Q)
|
98% |
2766
3.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1002
37.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
763
28.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
564
20.9 IPS |
|
|
Text Classification (SP)
|
100% |
593
792.0 IPS |
|
|
Text Classification (HP)
|
100% |
196
261.1 IPS |
|
|
Text Classification (Q)
|
97% |
382
512.2 IPS |
|
|
Machine Translation (SP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
182
3.13 IPS |
|
|
Machine Translation (Q)
|
65% |
348
7.00 IPS |
