Supermicro Super Server
Geekbench AI Score
1820
Single Precision Score
525
Half Precision Score
4528
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | Neredera |
| Upload Date | February 20 2025 11:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD EPYC 9534 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro H13SSL-N |
| CPU Information | |
|---|---|
| Name | AMD EPYC 9534 |
| Topology | 1 Processor, 64 Cores |
| Identifier | AuthenticAMD Family 25 Model 17 Stepping 1 |
| Base Frequency | 3.72 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
576
107.2 IPS |
|
|
Image Classification (HP)
|
100% |
81
15.1 IPS |
|
|
Image Classification (Q)
|
97% |
3542
661.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1053
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
214
3.46 IPS |
|
|
Image Segmentation (Q)
|
99% |
2398
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12495
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
5323
6.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
32824
38.5 IPS |
|
|
Object Detection (SP)
|
100% |
825
65.4 IPS |
|
|
Object Detection (HP)
|
100% |
107
8.51 IPS |
|
|
Object Detection (Q)
|
86% |
3849
309.3 IPS |
|
|
Face Detection (SP)
|
100% |
1448
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
261
3.10 IPS |
|
|
Face Detection (Q)
|
97% |
6216
74.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3143
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
624
4.81 IPS |
|
|
Depth Estimation (Q)
|
78% |
8195
65.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16663
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13043
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15606
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1015
37.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
768
28.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1628
60.3 IPS |
|
|
Text Classification (SP)
|
100% |
783
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
247
329.3 IPS |
|
|
Text Classification (Q)
|
97% |
851
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1059
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
404
6.96 IPS |
|
|
Machine Translation (Q)
|
65% |
3071
61.7 IPS |
