Intel Corporation S2600CP ..........
Geekbench AI Score
1363
Single Precision Score
542
Half Precision Score
1083
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | yee245 |
| Upload Date | August 29 2025 06:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2630L |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Intel Corporation S2600CP .......... |
| Motherboard | Intel Corporation S2600CP |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2630L |
| Topology | 2 Processors, 12 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1036
192.6 IPS |
|
|
Image Classification (HP)
|
100% |
191
35.5 IPS |
|
|
Image Classification (Q)
|
96% |
847
158.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
420
6.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
270
4.38 IPS |
|
|
Image Segmentation (Q)
|
97% |
1102
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2720
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1967
2.30 IPS |
|
|
Pose Estimation (Q)
|
86% |
2205
2.61 IPS |
|
|
Object Detection (SP)
|
100% |
1039
82.4 IPS |
|
|
Object Detection (HP)
|
100% |
244
19.3 IPS |
|
|
Object Detection (Q)
|
58% |
628
68.6 IPS |
|
|
Face Detection (SP)
|
100% |
3139
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
576
6.84 IPS |
|
|
Face Detection (Q)
|
96% |
2093
25.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3078
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
798
6.15 IPS |
|
|
Depth Estimation (Q)
|
78% |
1978
15.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6097
7.84 IPS |
|
|
Style Transfer (HP)
|
100% |
4895
6.29 IPS |
|
|
Style Transfer (Q)
|
87% |
4129
5.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
957
35.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
762
28.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
896
33.2 IPS |
|
|
Text Classification (SP)
|
100% |
467
623.5 IPS |
|
|
Text Classification (HP)
|
100% |
206
274.6 IPS |
|
|
Text Classification (Q)
|
97% |
172
230.2 IPS |
|
|
Machine Translation (SP)
|
100% |
687
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (Q)
|
68% |
652
12.6 IPS |
