Supermicro Super Server
Geekbench AI Score
9585
Single Precision Score
4351
Half Precision Score
18375
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | March 05 2025 04:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | INTEL(R) XEON(R) SILVER 4514Y |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X13SEI-F |
| CPU Information | |
|---|---|
| Name | INTEL(R) XEON(R) SILVER 4514Y |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 207 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5629
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
1926
358.3 IPS |
|
|
Image Classification (Q)
|
100% |
9144
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7589
123.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2511
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
15905
257.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16966
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
8851
10.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
65066
76.2 IPS |
|
|
Object Detection (SP)
|
100% |
5519
437.8 IPS |
|
|
Object Detection (HP)
|
100% |
2320
184.0 IPS |
|
|
Object Detection (Q)
|
88% |
10390
832.9 IPS |
|
|
Face Detection (SP)
|
100% |
17748
210.9 IPS |
|
|
Face Detection (HP)
|
100% |
5032
59.8 IPS |
|
|
Face Detection (Q)
|
100% |
29805
354.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16479
127.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7410
57.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
37322
290.4 IPS |
|
|
Style Transfer (SP)
|
100% |
46269
59.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22682
29.2 IPS |
|
|
Style Transfer (Q)
|
98% |
154465
199.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8816
325.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4981
183.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20116
745.0 IPS |
|
|
Text Classification (SP)
|
100% |
3356
4.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1555
2.08 KIPS |
|
|
Text Classification (Q)
|
92% |
3536
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4089
70.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3738
64.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3653
62.9 IPS |
