Supermicro Super Server
Geekbench AI Score
2504
Single Precision Score
890
Half Precision Score
2523
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Nick79 |
| Upload Date | January 17 2025 12:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD EPYC 7302 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro H11DSi |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7302 |
| Topology | 1 Processor, 16 Cores |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2118
393.9 IPS |
|
|
Image Classification (HP)
|
100% |
290
53.9 IPS |
|
|
Image Classification (Q)
|
96% |
2524
471.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
335
5.44 IPS |
|
|
Image Segmentation (Q)
|
97% |
1415
23.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8433
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
5644
6.59 IPS |
|
|
Pose Estimation (Q)
|
86% |
7931
9.38 IPS |
|
|
Object Detection (SP)
|
100% |
2241
177.7 IPS |
|
|
Object Detection (HP)
|
100% |
360
28.6 IPS |
|
|
Object Detection (Q)
|
58% |
1878
205.2 IPS |
|
|
Face Detection (SP)
|
100% |
4707
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
834
9.91 IPS |
|
|
Face Detection (Q)
|
96% |
5056
60.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7585
58.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1483
11.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
6640
53.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15855
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13262
17.0 IPS |
|
|
Style Transfer (Q)
|
87% |
15112
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1252
46.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1079
39.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1195
44.3 IPS |
|
|
Text Classification (SP)
|
100% |
574
765.8 IPS |
|
|
Text Classification (HP)
|
100% |
287
382.5 IPS |
|
|
Text Classification (Q)
|
97% |
258
345.7 IPS |
|
|
Machine Translation (SP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
311
5.36 IPS |
|
|
Machine Translation (Q)
|
68% |
1261
24.4 IPS |
