Supermicro Super Server
Geekbench AI Score
4379
Single Precision Score
4378
Half Precision Score
4114
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Nick79 |
| Upload Date | January 17 2025 12:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD EPYC 7302 16-Core Processor |
| 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% |
2499
464.7 IPS |
|
|
Image Classification (HP)
|
100% |
2599
483.4 IPS |
|
|
Image Classification (Q)
|
100% |
2904
540.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1658
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1648
26.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4371
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9271
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9334
10.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
10656
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
2911
230.9 IPS |
|
|
Object Detection (HP)
|
100% |
2900
230.0 IPS |
|
|
Object Detection (Q)
|
87% |
3082
247.2 IPS |
|
|
Face Detection (SP)
|
100% |
7511
89.2 IPS |
|
|
Face Detection (HP)
|
100% |
7625
90.6 IPS |
|
|
Face Detection (Q)
|
97% |
11278
134.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8966
69.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8792
67.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
9871
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25677
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26381
33.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29870
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4914
181.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4721
174.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5327
197.3 IPS |
|
|
Text Classification (SP)
|
100% |
1786
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1790
2.39 KIPS |
|
|
Text Classification (Q)
|
91% |
124
166.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1528
26.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1493
25.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1519
26.2 IPS |
