Supermicro Super Server
Geekbench AI Score
11626
Single Precision Score
11633
Half Precision Score
19967
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | Neredera |
| Upload Date | February 21 2025 05:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD EPYC 9534 64-Core Processor |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro H13SSL-N |
| CPU Information | |
|---|---|
| Name | AMD EPYC 9534 |
| Topology | 1 Processor, 64 Cores |
| Identifier | AuthenticAMD Family 25 Model 17 Stepping 1 |
| Base Frequency | 3.72 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 377.41 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4540
844.3 IPS |
|
|
Image Classification (HP)
|
100% |
4548
845.8 IPS |
|
|
Image Classification (Q)
|
100% |
7157
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9729
157.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9895
160.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
17568
284.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
34360
40.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34109
39.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
124745
146.0 IPS |
|
|
Object Detection (SP)
|
100% |
5891
467.3 IPS |
|
|
Object Detection (HP)
|
100% |
6293
499.1 IPS |
|
|
Object Detection (Q)
|
88% |
8893
712.9 IPS |
|
|
Face Detection (SP)
|
100% |
15186
180.4 IPS |
|
|
Face Detection (HP)
|
100% |
14923
177.3 IPS |
|
|
Face Detection (Q)
|
100% |
22317
265.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
29843
229.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
28548
219.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
44485
346.1 IPS |
|
|
Style Transfer (SP)
|
100% |
87353
112.3 IPS |
|
|
Style Transfer (HP)
|
100% |
87981
113.1 IPS |
|
|
Style Transfer (Q)
|
98% |
260702
336.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14140
522.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14152
522.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26864
994.9 IPS |
|
|
Text Classification (SP)
|
100% |
2474
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2412
3.22 KIPS |
|
|
Text Classification (Q)
|
92% |
2764
3.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3644
62.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3673
63.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3759
64.7 IPS |
