Supermicro X11DPi-N(T)
Geekbench AI Score
1476
Single Precision Score
525
Half Precision Score
2251
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SiggiTron |
| Upload Date | April 24 2025 09:59 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon Silver 4210 |
| 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% |
1237
230.0 IPS |
|
|
Image Classification (HP)
|
100% |
136
25.4 IPS |
|
|
Image Classification (Q)
|
99% |
2500
466.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
496
8.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
268
4.35 IPS |
|
|
Image Segmentation (Q)
|
98% |
998
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3358
3.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3224
3.76 IPS |
|
|
Pose Estimation (Q)
|
94% |
13827
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
1232
97.8 IPS |
|
|
Object Detection (HP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (Q)
|
86% |
2601
209.0 IPS |
|
|
Face Detection (SP)
|
100% |
3515
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
462
5.49 IPS |
|
|
Face Detection (Q)
|
97% |
4071
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3803
29.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
726
5.60 IPS |
|
|
Depth Estimation (Q)
|
78% |
6168
49.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7317
9.41 IPS |
|
|
Style Transfer (HP)
|
100% |
6333
8.14 IPS |
|
|
Style Transfer (Q)
|
98% |
10929
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
927
34.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
915
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
921
34.1 IPS |
|
|
Text Classification (SP)
|
100% |
390
520.9 IPS |
|
|
Text Classification (HP)
|
100% |
179
238.9 IPS |
|
|
Text Classification (Q)
|
97% |
187
250.5 IPS |
|
|
Machine Translation (SP)
|
100% |
549
9.45 IPS |
|
|
Machine Translation (HP)
|
100% |
210
3.62 IPS |
|
|
Machine Translation (Q)
|
65% |
788
15.8 IPS |
