Supermicro Super Server
Geekbench AI Score
3716
Single Precision Score
1635
Half Precision Score
6189
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | binlintin |
| Upload Date | May 09 2025 05:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD EPYC 9B45 128-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro H13SSL-N |
| Power Plan | Atlas Power Scheme |
| CPU Information | |
|---|---|
| Name | AMD EPYC 9B45 128-Core Processor |
| Topology | 1 Processor, 128 Cores, 256 Threads |
| Identifier | AuthenticAMD Family 26 Model 2 Stepping 1 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 640.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.8 IPS |
|
|
Image Classification (HP)
|
100% |
483
89.8 IPS |
|
|
Image Classification (Q)
|
99% |
2620
488.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
837
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2728
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
42663
49.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
11112
13.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
59974
70.3 IPS |
|
|
Object Detection (SP)
|
100% |
2156
171.0 IPS |
|
|
Object Detection (HP)
|
100% |
550
43.6 IPS |
|
|
Object Detection (Q)
|
86% |
4635
372.5 IPS |
|
|
Face Detection (SP)
|
100% |
6054
71.9 IPS |
|
|
Face Detection (HP)
|
100% |
1524
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
7215
86.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8188
63.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2453
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
10866
86.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35134
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22782
29.3 IPS |
|
|
Style Transfer (Q)
|
98% |
61292
79.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2361
87.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2500
92.6 IPS |
|
|
Text Classification (SP)
|
100% |
1042
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
475
634.0 IPS |
|
|
Text Classification (Q)
|
97% |
1253
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (HP)
|
100% |
580
10.00 IPS |
|
|
Machine Translation (Q)
|
65% |
2760
55.5 IPS |
