Supermicro Super Server
Geekbench AI Score
2254
Single Precision Score
717
Half Precision Score
2345
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Nick79 |
| Upload Date | June 08 2025 10:51 AM |
| Views | 9 |
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 |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1539
286.1 IPS |
|
|
Image Classification (HP)
|
100% |
232
43.2 IPS |
|
|
Image Classification (Q)
|
96% |
2298
429.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
633
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (Q)
|
97% |
1354
22.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
14075
16.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4762
5.56 IPS |
|
|
Pose Estimation (Q)
|
86% |
10344
12.2 IPS |
|
|
Object Detection (SP)
|
100% |
1671
132.6 IPS |
|
|
Object Detection (HP)
|
100% |
297
23.6 IPS |
|
|
Object Detection (Q)
|
58% |
1725
188.5 IPS |
|
|
Face Detection (SP)
|
100% |
3864
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
657
7.81 IPS |
|
|
Face Detection (Q)
|
96% |
5110
61.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8008
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1290
9.94 IPS |
|
|
Depth Estimation (Q)
|
78% |
6732
53.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17147
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
10766
13.8 IPS |
|
|
Style Transfer (Q)
|
87% |
15971
20.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1143
42.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
827
30.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
807
29.9 IPS |
|
|
Text Classification (SP)
|
100% |
421
562.2 IPS |
|
|
Text Classification (HP)
|
100% |
201
268.3 IPS |
|
|
Text Classification (Q)
|
97% |
223
298.5 IPS |
|
|
Machine Translation (SP)
|
100% |
579
9.98 IPS |
|
|
Machine Translation (HP)
|
100% |
232
3.99 IPS |
|
|
Machine Translation (Q)
|
68% |
917
17.7 IPS |
