Intel Corporation S2400SC
Geekbench AI Score
446
Single Precision Score
238
Half Precision Score
366
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 27 2024 09:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2403 v2 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Standard Evaluation (64-bit) |
| Model | Intel Corporation S2400SC |
| Motherboard | Intel Corporation S2400SC |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2403 v2 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
302
56.1 IPS |
|
|
Image Classification (HP)
|
100% |
103
19.2 IPS |
|
|
Image Classification (Q)
|
96% |
264
49.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
248
4.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
152
2.47 IPS |
|
|
Image Segmentation (Q)
|
97% |
235
3.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
608
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
474
0.55 IPS |
|
|
Pose Estimation (Q)
|
86% |
578
0.68 IPS |
|
|
Object Detection (SP)
|
100% |
276
21.9 IPS |
|
|
Object Detection (HP)
|
100% |
121
9.58 IPS |
|
|
Object Detection (Q)
|
58% |
201
21.9 IPS |
|
|
Face Detection (SP)
|
100% |
803
9.54 IPS |
|
|
Face Detection (HP)
|
100% |
322
3.82 IPS |
|
|
Face Detection (Q)
|
96% |
651
7.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
743
5.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
363
2.80 IPS |
|
|
Depth Estimation (Q)
|
78% |
634
5.05 IPS |
|
|
Style Transfer (SP)
|
100% |
1515
1.95 IPS |
|
|
Style Transfer (HP)
|
100% |
1233
1.58 IPS |
|
|
Style Transfer (Q)
|
87% |
1316
1.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
252
9.31 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
283
10.5 IPS |
|
|
Text Classification (SP)
|
100% |
250
333.2 IPS |
|
|
Text Classification (HP)
|
100% |
132
176.4 IPS |
|
|
Text Classification (Q)
|
97% |
120
160.5 IPS |
|
|
Machine Translation (SP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (HP)
|
100% |
141
2.43 IPS |
|
|
Machine Translation (Q)
|
68% |
330
6.38 IPS |
