Supermicro Super Server
Geekbench AI Score
2543
Single Precision Score
2546
Half Precision Score
5508
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 28 2025 01:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) Silver 4210 CPU @ 2.20GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X11SPL-F |
| CPU Information | |
|---|---|
| Name | Intel Xeon Silver 4210 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1531
284.7 IPS |
|
|
Image Classification (HP)
|
100% |
1554
289.0 IPS |
|
|
Image Classification (Q)
|
100% |
3391
630.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2063
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2059
33.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4293
69.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3315
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3315
3.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
12671
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1546
122.6 IPS |
|
|
Object Detection (HP)
|
100% |
1543
122.4 IPS |
|
|
Object Detection (Q)
|
88% |
3748
300.5 IPS |
|
|
Face Detection (SP)
|
100% |
4718
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
4717
56.0 IPS |
|
|
Face Detection (Q)
|
100% |
9960
118.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4263
32.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4252
32.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
10382
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9159
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9155
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
32031
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1968
72.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1964
72.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5906
218.7 IPS |
|
|
Text Classification (SP)
|
100% |
1163
1.55 KIPS |
|
|
Text Classification (HP)
|
100% |
1170
1.56 KIPS |
|
|
Text Classification (Q)
|
92% |
1153
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1663
28.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1660
28.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1651
28.4 IPS |
