Supermicro Super Server
Geekbench AI Score
12897
Single Precision Score
14783
Half Precision Score
9820
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Nick79 |
| Upload Date | January 17 2025 12:33 PM |
| Views | 2 |
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 | 1 Processor, 16 Cores |
| 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% |
5664
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
5276
981.2 IPS |
|
|
Image Classification (Q)
|
100% |
4924
915.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7955
129.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6532
105.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6879
111.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
71952
84.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
115708
135.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
61049
71.5 IPS |
|
|
Object Detection (SP)
|
100% |
4452
353.1 IPS |
|
|
Object Detection (HP)
|
100% |
6002
476.1 IPS |
|
|
Object Detection (Q)
|
87% |
3936
316.1 IPS |
|
|
Face Detection (SP)
|
100% |
16045
190.7 IPS |
|
|
Face Detection (HP)
|
100% |
18943
225.1 IPS |
|
|
Face Detection (Q)
|
97% |
13176
157.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
33397
257.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
40273
310.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
26004
208.9 IPS |
|
|
Style Transfer (SP)
|
100% |
142077
182.6 IPS |
|
|
Style Transfer (HP)
|
100% |
184882
237.7 IPS |
|
|
Style Transfer (Q)
|
98% |
116919
150.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23709
875.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28009
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16076
595.3 IPS |
|
|
Text Classification (SP)
|
100% |
1889
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
1990
2.66 KIPS |
|
|
Text Classification (Q)
|
97% |
1143
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2588
44.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2650
45.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1393
26.1 IPS |
