Supermicro Super Server
Geekbench AI Score
11960
Single Precision Score
14262
Half Precision Score
9570
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Nick79 |
| Upload Date | June 08 2025 11:07 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6600 |
| 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 |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5633
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
5758
1.07 KIPS |
|
|
Image Classification (Q)
|
100% |
4806
893.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6953
112.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6023
97.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6219
101.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
70630
82.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
118072
137.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
59952
70.2 IPS |
|
|
Object Detection (SP)
|
100% |
4580
363.3 IPS |
|
|
Object Detection (HP)
|
100% |
5817
461.4 IPS |
|
|
Object Detection (Q)
|
87% |
4079
327.6 IPS |
|
|
Face Detection (SP)
|
100% |
15503
184.2 IPS |
|
|
Face Detection (HP)
|
100% |
18389
218.5 IPS |
|
|
Face Detection (Q)
|
97% |
12820
152.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
31930
246.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
39200
302.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
24940
200.3 IPS |
|
|
Style Transfer (SP)
|
100% |
138666
178.3 IPS |
|
|
Style Transfer (HP)
|
100% |
179628
230.9 IPS |
|
|
Style Transfer (Q)
|
98% |
113843
146.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22775
841.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27096
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15590
577.3 IPS |
|
|
Text Classification (SP)
|
100% |
1944
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
2462
3.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1189
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1556
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1693
29.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1307
24.5 IPS |
