Supermicro Super Server
Geekbench AI Score
1433
Single Precision Score
484
Half Precision Score
2644
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | danm1988 |
| Upload Date | June 26 2025 06:34 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD EPYC 7J13 64-Core Processor |
| System Information | |
|---|---|
| Operating System | openSUSE Leap 15.6 |
| Model | Supermicro Super Server |
| Motherboard | Supermicro H12DSi-N6 |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7J13 64-Core Processor |
| Topology | 2 Processors, 128 Cores, 256 Threads |
| Identifier | AuthenticAMD Family 25 Model 1 Stepping 1 |
| Base Frequency | 2.45 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 503.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
424
78.9 IPS |
|
|
Image Classification (HP)
|
100% |
87
16.2 IPS |
|
|
Image Classification (Q)
|
94% |
1515
283.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
726
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
162
2.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
1298
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13943
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4358
5.09 IPS |
|
|
Pose Estimation (Q)
|
86% |
25113
29.7 IPS |
|
|
Object Detection (SP)
|
100% |
525
41.7 IPS |
|
|
Object Detection (HP)
|
100% |
117
9.25 IPS |
|
|
Object Detection (Q)
|
58% |
1170
127.8 IPS |
|
|
Face Detection (SP)
|
100% |
1385
16.5 IPS |
|
|
Face Detection (HP)
|
100% |
191
2.27 IPS |
|
|
Face Detection (Q)
|
96% |
4048
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4019
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
610
4.70 IPS |
|
|
Depth Estimation (Q)
|
78% |
5377
42.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14012
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9889
12.7 IPS |
|
|
Style Transfer (Q)
|
87% |
14916
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
909
33.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
907
33.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
964
35.7 IPS |
|
|
Text Classification (SP)
|
100% |
629
840.2 IPS |
|
|
Text Classification (HP)
|
100% |
242
323.7 IPS |
|
|
Text Classification (Q)
|
97% |
391
523.8 IPS |
|
|
Machine Translation (SP)
|
100% |
364
6.27 IPS |
|
|
Machine Translation (HP)
|
100% |
396
6.82 IPS |
|
|
Machine Translation (Q)
|
68% |
2364
45.7 IPS |
