Supermicro Super Server
Geekbench AI Score
5239
Single Precision Score
5194
Half Precision Score
8771
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | binlintin |
| Upload Date | May 09 2025 05:37 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD EPYC 9B45 128-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro H13SSL-N |
| Power Plan | Atlas Power Scheme |
| CPU Information | |
|---|---|
| Name | AMD EPYC 9B45 128-Core Processor |
| Topology | 1 Processor, 128 Cores, 256 Threads |
| Identifier | AuthenticAMD Family 26 Model 2 Stepping 1 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 640.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1896
352.7 IPS |
|
|
Image Classification (HP)
|
100% |
1840
342.2 IPS |
|
|
Image Classification (Q)
|
100% |
3499
650.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
5658
91.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5782
93.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10071
163.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
23219
27.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
24115
28.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
66400
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
2690
213.4 IPS |
|
|
Object Detection (HP)
|
100% |
2684
212.9 IPS |
|
|
Object Detection (Q)
|
88% |
4496
360.4 IPS |
|
|
Face Detection (SP)
|
100% |
8955
106.4 IPS |
|
|
Face Detection (HP)
|
100% |
7997
95.0 IPS |
|
|
Face Detection (Q)
|
100% |
13213
157.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10790
83.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11253
86.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
17178
133.7 IPS |
|
|
Style Transfer (SP)
|
100% |
56235
72.3 IPS |
|
|
Style Transfer (HP)
|
100% |
57055
73.3 IPS |
|
|
Style Transfer (Q)
|
98% |
162841
210.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4898
180.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4765
176.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7930
293.7 IPS |
|
|
Text Classification (SP)
|
100% |
633
844.5 IPS |
|
|
Text Classification (HP)
|
100% |
699
932.5 IPS |
|
|
Text Classification (Q)
|
92% |
701
941.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1381
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1215
20.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1247
21.5 IPS |
