Supermicro Super Server
Geekbench AI Score
1821
Single Precision Score
782
Half Precision Score
3015
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | dlfretz |
| Upload Date | May 03 2025 01:42 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
950
176.7 IPS |
|
|
Image Classification (HP)
|
100% |
228
42.5 IPS |
|
|
Image Classification (Q)
|
96% |
2299
429.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
849
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
341
5.52 IPS |
|
|
Image Segmentation (Q)
|
97% |
1643
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9288
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
3601
4.20 IPS |
|
|
Pose Estimation (Q)
|
86% |
20832
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
1055
83.7 IPS |
|
|
Object Detection (HP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (Q)
|
58% |
2090
228.4 IPS |
|
|
Face Detection (SP)
|
100% |
2023
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
680
8.09 IPS |
|
|
Face Detection (Q)
|
96% |
4160
49.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3465
26.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1269
9.77 IPS |
|
|
Depth Estimation (Q)
|
78% |
7605
60.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15066
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10333
13.3 IPS |
|
|
Style Transfer (Q)
|
87% |
14327
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1211
44.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1079
39.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1708
63.3 IPS |
|
|
Text Classification (SP)
|
100% |
627
837.2 IPS |
|
|
Text Classification (HP)
|
100% |
292
389.4 IPS |
|
|
Text Classification (Q)
|
97% |
287
385.1 IPS |
|
|
Machine Translation (SP)
|
100% |
633
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
351
6.04 IPS |
|
|
Machine Translation (Q)
|
68% |
1701
32.9 IPS |
