Supermicro Super Server
Geekbench AI Score
1850
Single Precision Score
662
Half Precision Score
2180
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Nick79 |
| Upload Date | February 02 2025 07:42 PM |
| Views | 16 |
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 | 2 Processors, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1266
235.4 IPS |
|
|
Image Classification (HP)
|
100% |
222
41.4 IPS |
|
|
Image Classification (Q)
|
96% |
1895
353.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
627
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
296
4.80 IPS |
|
|
Image Segmentation (Q)
|
97% |
1283
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8652
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
4016
4.69 IPS |
|
|
Pose Estimation (Q)
|
86% |
9562
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1309
103.8 IPS |
|
|
Object Detection (HP)
|
100% |
272
21.6 IPS |
|
|
Object Detection (Q)
|
58% |
1508
164.7 IPS |
|
|
Face Detection (SP)
|
100% |
3303
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
611
7.26 IPS |
|
|
Face Detection (Q)
|
96% |
4566
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6041
46.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1266
9.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
5380
42.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12525
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
9147
11.8 IPS |
|
|
Style Transfer (Q)
|
87% |
15163
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1004
37.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
629
23.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
843
31.2 IPS |
|
|
Text Classification (SP)
|
100% |
393
524.1 IPS |
|
|
Text Classification (HP)
|
100% |
190
253.7 IPS |
|
|
Text Classification (Q)
|
97% |
200
267.8 IPS |
|
|
Machine Translation (SP)
|
100% |
531
9.14 IPS |
|
|
Machine Translation (HP)
|
100% |
267
4.60 IPS |
|
|
Machine Translation (Q)
|
68% |
1106
21.4 IPS |
