Intel Corporation S2600CP ..........
Geekbench AI Score
419
Single Precision Score
238
Half Precision Score
399
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | yee245 |
| Upload Date | October 08 2025 08:52 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2603 |
| 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 E5-2603 |
| Topology | 2 Processors, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
235
43.6 IPS |
|
|
Image Classification (HP)
|
100% |
95
17.6 IPS |
|
|
Image Classification (Q)
|
96% |
252
47.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
219
3.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
152
2.46 IPS |
|
|
Image Segmentation (Q)
|
97% |
373
6.06 IPS |
|
|
Pose Estimation (SP)
|
100% |
829
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
676
0.79 IPS |
|
|
Pose Estimation (Q)
|
86% |
840
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
108
8.56 IPS |
|
|
Object Detection (Q)
|
58% |
172
18.8 IPS |
|
|
Face Detection (SP)
|
100% |
720
8.56 IPS |
|
|
Face Detection (HP)
|
100% |
275
3.27 IPS |
|
|
Face Detection (Q)
|
96% |
670
7.99 IPS |
|
|
Depth Estimation (SP)
|
100% |
651
5.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
327
2.52 IPS |
|
|
Depth Estimation (Q)
|
78% |
592
4.71 IPS |
|
|
Style Transfer (SP)
|
100% |
1814
2.33 IPS |
|
|
Style Transfer (HP)
|
100% |
1514
1.95 IPS |
|
|
Style Transfer (Q)
|
87% |
1737
2.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
292
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
248
9.16 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
342
12.7 IPS |
|
|
Text Classification (SP)
|
100% |
210
280.5 IPS |
|
|
Text Classification (HP)
|
100% |
114
151.9 IPS |
|
|
Text Classification (Q)
|
97% |
105
140.3 IPS |
|
|
Machine Translation (SP)
|
100% |
330
5.69 IPS |
|
|
Machine Translation (HP)
|
100% |
145
2.50 IPS |
|
|
Machine Translation (Q)
|
68% |
309
5.97 IPS |
