Supermicro Super Server
Geekbench AI Score
4362
Single Precision Score
4375
Half Precision Score
4143
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Nick79 |
| Upload Date | June 08 2025 10:25 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD EPYC 7302 16-Core Processor |
| 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% |
2628
488.8 IPS |
|
|
Image Classification (HP)
|
100% |
2591
481.9 IPS |
|
|
Image Classification (Q)
|
100% |
2768
514.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1709
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1659
26.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4476
72.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9337
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9366
10.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
10864
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
2849
226.0 IPS |
|
|
Object Detection (HP)
|
100% |
2856
226.5 IPS |
|
|
Object Detection (Q)
|
87% |
3091
247.9 IPS |
|
|
Face Detection (SP)
|
100% |
7393
87.8 IPS |
|
|
Face Detection (HP)
|
100% |
7529
89.5 IPS |
|
|
Face Detection (Q)
|
97% |
11310
134.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8941
68.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9003
69.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
10105
79.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26391
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26274
33.8 IPS |
|
|
Style Transfer (Q)
|
98% |
29966
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4829
178.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4852
179.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5343
197.9 IPS |
|
|
Text Classification (SP)
|
100% |
1720
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
1682
2.24 KIPS |
|
|
Text Classification (Q)
|
91% |
130
174.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1443
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1539
26.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1506
25.9 IPS |
