Supermicro Super Server
Geekbench AI Score
11185
Single Precision Score
17521
Half Precision Score
8274
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 12:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro RTX 4000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X11DPH-T |
| Power Plan | bplus |
| CPU Information | |
|---|---|
| Name | Intel Xeon Gold 6254 |
| Topology | 2 Processors, 36 Cores, 72 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 7 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 18 Cores |
| Memory Information | |
|---|---|
| Size | 384.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4538
843.9 IPS |
|
|
Image Classification (HP)
|
100% |
7017
1.30 KIPS |
|
|
Image Classification (Q)
|
99% |
3682
686.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6576
106.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8070
130.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5649
91.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
63199
73.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
173313
202.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
52352
61.3 IPS |
|
|
Object Detection (SP)
|
100% |
5665
449.3 IPS |
|
|
Object Detection (HP)
|
100% |
8506
674.7 IPS |
|
|
Object Detection (Q)
|
84% |
4560
367.8 IPS |
|
|
Face Detection (SP)
|
100% |
13662
162.3 IPS |
|
|
Face Detection (HP)
|
100% |
19178
227.9 IPS |
|
|
Face Detection (Q)
|
97% |
11437
136.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
30917
238.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
55909
430.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
22432
179.6 IPS |
|
|
Style Transfer (SP)
|
100% |
101425
130.4 IPS |
|
|
Style Transfer (HP)
|
100% |
229123
294.5 IPS |
|
|
Style Transfer (Q)
|
98% |
84588
109.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20055
740.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29287
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12758
472.4 IPS |
|
|
Text Classification (SP)
|
100% |
1590
2.12 KIPS |
|
|
Text Classification (HP)
|
99% |
2152
2.87 KIPS |
|
|
Text Classification (Q)
|
97% |
1016
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2101
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2110
36.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1077
20.2 IPS |
