Supermicro Super Server
Geekbench AI Score
2708
Single Precision Score
914
Half Precision Score
2624
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Nick79 |
| Upload Date | January 21 2025 07:45 PM |
| Views | 2 |
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, 32 Threads |
| 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% |
2266
421.4 IPS |
|
|
Image Classification (HP)
|
100% |
295
54.9 IPS |
|
|
Image Classification (Q)
|
96% |
2742
512.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
809
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
358
5.81 IPS |
|
|
Image Segmentation (Q)
|
97% |
1435
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9490
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
6115
7.13 IPS |
|
|
Pose Estimation (Q)
|
86% |
8362
9.89 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (Q)
|
58% |
1954
213.5 IPS |
|
|
Face Detection (SP)
|
100% |
4969
59.0 IPS |
|
|
Face Detection (HP)
|
100% |
867
10.3 IPS |
|
|
Face Detection (Q)
|
96% |
5318
63.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8570
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1551
11.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
7585
60.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15947
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13096
16.8 IPS |
|
|
Style Transfer (Q)
|
87% |
15357
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1273
47.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1086
40.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1172
43.4 IPS |
|
|
Text Classification (SP)
|
100% |
592
789.6 IPS |
|
|
Text Classification (HP)
|
100% |
282
376.8 IPS |
|
|
Text Classification (Q)
|
97% |
255
341.2 IPS |
|
|
Machine Translation (SP)
|
100% |
965
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
316
5.44 IPS |
|
|
Machine Translation (Q)
|
68% |
1304
25.2 IPS |
