Supermicro H11SSL-i, EPYC 7532, 265GB RAM, RTX 3090Ti Supermicro Super Server
Geekbench AI Score
2249
Single Precision Score
2290
Half Precision Score
3583
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | OXID |
| Upload Date | July 01 2025 08:37 PM |
| Views | 7 |
| Notes | Supermicro H11SSL-i EPYC 7532 265GB RAM RTX 3090Ti |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD EPYC 7532 32-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro H11SSL-i/C/NC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7532 |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 224.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
832
154.7 IPS |
|
|
Image Classification (HP)
|
100% |
751
139.7 IPS |
|
|
Image Classification (Q)
|
100% |
1885
350.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1584
25.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5919
96.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8007
9.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
7943
9.27 IPS |
|
|
Pose Estimation (Q)
|
94% |
17676
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1034
82.0 IPS |
|
|
Object Detection (HP)
|
100% |
989
78.4 IPS |
|
|
Object Detection (Q)
|
87% |
3286
263.6 IPS |
|
|
Face Detection (SP)
|
100% |
3032
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
3145
37.4 IPS |
|
|
Face Detection (Q)
|
97% |
8804
105.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4204
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4062
31.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
9362
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24069
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25140
32.3 IPS |
|
|
Style Transfer (Q)
|
98% |
39969
51.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3090
114.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3415
126.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4851
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
526
702.3 IPS |
|
|
Text Classification (HP)
|
100% |
588
784.7 IPS |
|
|
Text Classification (Q)
|
91% |
53
71.8 IPS |
|
|
Machine Translation (SP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (Q)
|
100% |
637
11.0 IPS |
