Supermicro X11DPi-N(T)
Geekbench AI Score
1777
Single Precision Score
544
Half Precision Score
2232
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | SiggiTron |
| Upload Date | February 25 2025 01:38 PM |
| Views | 19 |
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% |
1521
282.8 IPS |
|
|
Image Classification (HP)
|
100% |
155
28.7 IPS |
|
|
Image Classification (Q)
|
99% |
2457
458.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
607
9.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
301
4.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
932
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4916
5.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
2631
3.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
14876
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
86% |
2542
204.3 IPS |
|
|
Face Detection (SP)
|
100% |
3389
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
509
6.05 IPS |
|
|
Face Detection (Q)
|
97% |
3943
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4663
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
783
6.03 IPS |
|
|
Depth Estimation (Q)
|
78% |
6420
51.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8853
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6213
7.99 IPS |
|
|
Style Transfer (Q)
|
98% |
10475
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1272
47.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
742
27.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1005
37.2 IPS |
|
|
Text Classification (SP)
|
100% |
481
642.3 IPS |
|
|
Text Classification (HP)
|
100% |
199
265.9 IPS |
|
|
Text Classification (Q)
|
97% |
183
244.6 IPS |
|
|
Machine Translation (SP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
218
3.76 IPS |
|
|
Machine Translation (Q)
|
65% |
727
14.6 IPS |
