Supermicro Super Server
Geekbench AI Score
22013
Single Precision Score
33512
Half Precision Score
13741
Quantized Score
Geekbench AI 1.3.0 Pro for Windows AVX2
Result Information
| User | dlfretz |
| Upload Date | May 03 2025 01:44 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| 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% |
8647
1.61 KIPS |
|
|
Image Classification (HP)
|
99% |
11798
2.20 KIPS |
|
|
Image Classification (Q)
|
100% |
6037
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13863
224.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19783
320.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
10791
175.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
131517
153.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
377142
440.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
102508
120.1 IPS |
|
|
Object Detection (SP)
|
100% |
11466
909.5 IPS |
|
|
Object Detection (HP)
|
100% |
16045
1.27 KIPS |
|
|
Object Detection (Q)
|
85% |
7916
636.8 IPS |
|
|
Face Detection (SP)
|
100% |
28285
336.1 IPS |
|
|
Face Detection (HP)
|
100% |
40578
482.2 IPS |
|
|
Face Detection (Q)
|
97% |
19451
231.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
60488
466.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
101204
779.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
35541
284.7 IPS |
|
|
Style Transfer (SP)
|
100% |
235496
302.7 IPS |
|
|
Style Transfer (HP)
|
100% |
569014
731.5 IPS |
|
|
Style Transfer (Q)
|
98% |
173179
223.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35515
1.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43947
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19597
725.6 IPS |
|
|
Text Classification (SP)
|
100% |
2565
3.42 KIPS |
|
|
Text Classification (HP)
|
99% |
3112
4.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1333
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4027
69.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3959
68.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1452
27.2 IPS |
