Supermicro X11DPi-N(T)
Geekbench AI Score
2302
Single Precision Score
2307
Half Precision Score
5204
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | SiggiTron |
| Upload Date | July 09 2025 09:59 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) Silver 4210 CPU @ 2.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2019 Standard (64-bit) |
| Model | Supermicro X11DPi-N(T) |
| Motherboard | Supermicro X11DPi-NT |
| Power Plan | Vysok vkon |
| CPU Information | |
|---|---|
| Name | Intel Xeon Silver 4210 |
| Topology | 2 Processors, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 20 Cores |
| Memory Information | |
|---|---|
| Size | 1024.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1426
265.1 IPS |
|
|
Image Classification (HP)
|
100% |
1386
257.8 IPS |
|
|
Image Classification (Q)
|
100% |
3633
675.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1816
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1759
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3804
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3071
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3078
3.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
11791
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1352
107.2 IPS |
|
|
Object Detection (HP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (Q)
|
88% |
3640
291.7 IPS |
|
|
Face Detection (SP)
|
100% |
4239
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
4191
49.8 IPS |
|
|
Face Detection (Q)
|
100% |
9112
108.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3620
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3731
28.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
7908
61.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8028
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8352
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
29782
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1665
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1711
63.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5428
201.0 IPS |
|
|
Text Classification (SP)
|
100% |
1135
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1104
1.47 KIPS |
|
|
Text Classification (Q)
|
92% |
1358
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1671
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1664
28.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1554
26.8 IPS |
