Supermicro Super Server
Geekbench AI Score
1965
Single Precision Score
679
Half Precision Score
2331
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Nick79 |
| Upload Date | September 07 2025 10:35 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD EPYC 7302 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro H11DSi |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7302 |
| Topology | 2 Processors, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.4 IPS |
|
|
Image Classification (HP)
|
100% |
225
41.8 IPS |
|
|
Image Classification (Q)
|
96% |
2241
418.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
559
9.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (Q)
|
97% |
1400
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11583
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4493
5.24 IPS |
|
|
Pose Estimation (Q)
|
86% |
9801
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (HP)
|
100% |
283
22.4 IPS |
|
|
Object Detection (Q)
|
58% |
1754
191.7 IPS |
|
|
Face Detection (SP)
|
100% |
3440
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
640
7.61 IPS |
|
|
Face Detection (Q)
|
96% |
4898
58.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6608
50.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1284
9.89 IPS |
|
|
Depth Estimation (Q)
|
78% |
6217
49.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13707
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10412
13.4 IPS |
|
|
Style Transfer (Q)
|
87% |
15619
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
947
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
639
23.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
863
32.0 IPS |
|
|
Text Classification (SP)
|
100% |
397
529.8 IPS |
|
|
Text Classification (HP)
|
100% |
192
256.8 IPS |
|
|
Text Classification (Q)
|
97% |
203
272.1 IPS |
|
|
Machine Translation (SP)
|
100% |
523
9.00 IPS |
|
|
Machine Translation (HP)
|
100% |
231
3.98 IPS |
|
|
Machine Translation (Q)
|
68% |
1055
20.4 IPS |
