Supermicro Super Server
Geekbench AI Score
13650
Single Precision Score
24335
Half Precision Score
11393
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Nick79 |
| Upload Date | December 01 2025 07:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5050 |
| 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% |
5745
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
9957
1.85 KIPS |
|
|
Image Classification (Q)
|
99% |
5376
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8202
133.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11418
185.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7801
126.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
68823
80.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
228212
266.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
67286
78.8 IPS |
|
|
Object Detection (SP)
|
100% |
7400
587.0 IPS |
|
|
Object Detection (HP)
|
100% |
11645
923.7 IPS |
|
|
Object Detection (Q)
|
87% |
6641
532.9 IPS |
|
|
Face Detection (SP)
|
100% |
16854
200.3 IPS |
|
|
Face Detection (HP)
|
100% |
25913
307.9 IPS |
|
|
Face Detection (Q)
|
97% |
15449
184.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
36043
277.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
78488
604.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
30846
246.6 IPS |
|
|
Style Transfer (SP)
|
100% |
107218
137.8 IPS |
|
|
Style Transfer (HP)
|
100% |
353441
454.4 IPS |
|
|
Style Transfer (Q)
|
98% |
90330
116.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20453
755.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38991
1.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16608
615.0 IPS |
|
|
Text Classification (SP)
|
100% |
2419
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2830
3.78 KIPS |
|
|
Text Classification (Q)
|
97% |
1734
2.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2904
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3039
52.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1587
29.8 IPS |
