Supermicro X11DPi-N(T)
Geekbench AI Score
2299
Single Precision Score
2293
Half Precision Score
5031
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | SiggiTron |
| Upload Date | February 25 2025 01:44 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% |
1377
256.0 IPS |
|
|
Image Classification (HP)
|
100% |
1427
265.3 IPS |
|
|
Image Classification (Q)
|
100% |
3233
601.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1805
29.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3716
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3182
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
3183
3.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
11936
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
100% |
1390
110.3 IPS |
|
|
Object Detection (Q)
|
88% |
3421
274.2 IPS |
|
|
Face Detection (SP)
|
100% |
4025
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
4040
48.0 IPS |
|
|
Face Detection (Q)
|
100% |
8602
102.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3935
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3804
29.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
8951
69.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8771
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8743
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30197
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1760
65.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1672
61.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5354
198.3 IPS |
|
|
Text Classification (SP)
|
100% |
1107
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1127
1.50 KIPS |
|
|
Text Classification (Q)
|
92% |
1235
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1389
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1394
24.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1380
23.8 IPS |
