Intel Corporation S2600CP ..........
Geekbench AI Score
549
Single Precision Score
308
Half Precision Score
523
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | yee245 |
| Upload Date | October 10 2025 04:30 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2609 |
| 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 E5-2609 |
| Topology | 2 Processors, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
316
58.8 IPS |
|
|
Image Classification (HP)
|
100% |
124
23.0 IPS |
|
|
Image Classification (Q)
|
96% |
360
67.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
267
4.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
192
3.11 IPS |
|
|
Image Segmentation (Q)
|
97% |
485
7.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
1063
1.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
853
1.00 IPS |
|
|
Pose Estimation (Q)
|
86% |
1066
1.26 IPS |
|
|
Object Detection (SP)
|
100% |
317
25.2 IPS |
|
|
Object Detection (HP)
|
100% |
143
11.4 IPS |
|
|
Object Detection (Q)
|
58% |
236
25.8 IPS |
|
|
Face Detection (SP)
|
100% |
1078
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
352
4.18 IPS |
|
|
Face Detection (Q)
|
96% |
906
10.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
892
6.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
443
3.42 IPS |
|
|
Depth Estimation (Q)
|
78% |
783
6.24 IPS |
|
|
Style Transfer (SP)
|
100% |
2290
2.94 IPS |
|
|
Style Transfer (HP)
|
100% |
1991
2.56 IPS |
|
|
Style Transfer (Q)
|
87% |
2182
2.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
372
13.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
318
11.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
440
16.3 IPS |
|
|
Text Classification (SP)
|
100% |
272
363.5 IPS |
|
|
Text Classification (HP)
|
100% |
146
194.4 IPS |
|
|
Text Classification (Q)
|
97% |
132
176.6 IPS |
|
|
Machine Translation (SP)
|
100% |
394
6.79 IPS |
|
|
Machine Translation (HP)
|
100% |
186
3.20 IPS |
|
|
Machine Translation (Q)
|
68% |
391
7.56 IPS |
