Supermicro H11SSL-i, EPYC 7532, 265GB RAM, RTX 3090Ti Supermicro Super Server
Geekbench AI Score
23100
Single Precision Score
31697
Half Precision Score
14603
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | OXID |
| Upload Date | July 01 2025 08:21 PM |
| Views | 6 |
| Notes | Supermicro H11SSL-i EPYC 7532 265GB RAM RTX 3090Ti |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 Ti |
| 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% |
8689
1.62 KIPS |
|
|
Image Classification (HP)
|
99% |
11175
2.08 KIPS |
|
|
Image Classification (Q)
|
100% |
6132
1.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14794
239.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19582
317.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10480
170.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
189980
221.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
340112
396.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
139697
163.7 IPS |
|
|
Object Detection (SP)
|
100% |
10840
859.8 IPS |
|
|
Object Detection (HP)
|
100% |
13705
1.09 KIPS |
|
|
Object Detection (Q)
|
85% |
7691
618.6 IPS |
|
|
Face Detection (SP)
|
100% |
27694
329.1 IPS |
|
|
Face Detection (HP)
|
100% |
35407
420.7 IPS |
|
|
Face Detection (Q)
|
97% |
19580
233.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
62878
484.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
96977
747.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
37821
302.9 IPS |
|
|
Style Transfer (SP)
|
100% |
276425
355.3 IPS |
|
|
Style Transfer (HP)
|
100% |
574914
739.1 IPS |
|
|
Style Transfer (Q)
|
98% |
198587
256.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36427
1.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46936
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21511
796.5 IPS |
|
|
Text Classification (SP)
|
100% |
2552
3.41 KIPS |
|
|
Text Classification (HP)
|
99% |
3048
4.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1382
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3653
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3554
61.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1461
27.4 IPS |
