Supermicro Super Server
Geekbench AI Score
2040
Single Precision Score
2034
Half Precision Score
3269
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | dlfretz |
| Upload Date | May 03 2025 01:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD EPYC 7C13 64-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro H12SSL-I |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7C13 64-Core Processor |
| Topology | 1 Processor, 64 Cores, 128 Threads |
| Identifier | AuthenticAMD Family 25 Model 1 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
967
179.8 IPS |
|
|
Image Classification (HP)
|
100% |
913
169.7 IPS |
|
|
Image Classification (Q)
|
100% |
2007
373.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1473
23.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3802
61.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6990
8.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
6971
8.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
15034
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1153
91.4 IPS |
|
|
Object Detection (HP)
|
100% |
1155
91.6 IPS |
|
|
Object Detection (Q)
|
87% |
2861
229.4 IPS |
|
|
Face Detection (SP)
|
100% |
2345
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
2233
26.5 IPS |
|
|
Face Detection (Q)
|
97% |
6725
80.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3677
28.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3695
28.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
7996
63.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16769
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16827
21.6 IPS |
|
|
Style Transfer (Q)
|
98% |
34632
44.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2117
78.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2090
77.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3940
146.0 IPS |
|
|
Text Classification (SP)
|
100% |
587
782.9 IPS |
|
|
Text Classification (HP)
|
100% |
640
854.6 IPS |
|
|
Text Classification (Q)
|
91% |
98
131.7 IPS |
|
|
Machine Translation (SP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
603
10.4 IPS |
|
|
Machine Translation (Q)
|
100% |
591
10.2 IPS |
