Supermicro X11DPi-N(T)
Geekbench AI Score
2296
Single Precision Score
2276
Half Precision Score
5178
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SiggiTron |
| Upload Date | April 24 2025 10:17 PM |
| Views | 11 |
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% |
1468
273.0 IPS |
|
|
Image Classification (HP)
|
100% |
1285
238.9 IPS |
|
|
Image Classification (Q)
|
100% |
3339
620.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2073
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1899
30.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4130
67.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3003
3.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
3075
3.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
11515
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1254
99.4 IPS |
|
|
Object Detection (HP)
|
100% |
1219
96.7 IPS |
|
|
Object Detection (Q)
|
88% |
3402
272.7 IPS |
|
|
Face Detection (SP)
|
100% |
3333
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3510
41.7 IPS |
|
|
Face Detection (Q)
|
100% |
9697
115.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3827
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3816
29.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
7799
60.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8682
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8488
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27333
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1665
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1772
65.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5109
189.2 IPS |
|
|
Text Classification (SP)
|
100% |
1057
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
1142
1.52 KIPS |
|
|
Text Classification (Q)
|
92% |
1326
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
1829
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1774
30.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1834
31.6 IPS |
