Supermicro Super Server
Geekbench AI Score
4979
Single Precision Score
3669
Half Precision Score
14146
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 08 2025 12:58 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU Max 9480 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Datacenter (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X13SEI-TF |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) CPU Max 9480 |
| Topology | 1 Processor, 56 Cores, 112 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 28 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2802
521.1 IPS |
|
|
Image Classification (HP)
|
100% |
2407
447.6 IPS |
|
|
Image Classification (Q)
|
100% |
7402
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3828
62.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1746
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
12380
200.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11720
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8347
9.74 IPS |
|
|
Pose Estimation (Q)
|
97% |
78031
91.4 IPS |
|
|
Object Detection (SP)
|
100% |
2780
220.5 IPS |
|
|
Object Detection (HP)
|
100% |
2481
196.8 IPS |
|
|
Object Detection (Q)
|
88% |
6839
548.2 IPS |
|
|
Face Detection (SP)
|
100% |
9314
110.7 IPS |
|
|
Face Detection (HP)
|
100% |
6326
75.2 IPS |
|
|
Face Detection (Q)
|
100% |
18638
221.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7518
57.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6414
49.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
27866
216.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29912
38.5 IPS |
|
|
Style Transfer (HP)
|
100% |
18873
24.3 IPS |
|
|
Style Transfer (Q)
|
98% |
187639
242.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3903
144.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3050
112.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12642
468.2 IPS |
|
|
Text Classification (SP)
|
100% |
1360
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
942
1.26 KIPS |
|
|
Text Classification (Q)
|
92% |
1677
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2413
41.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2309
39.8 IPS |
|
|
Machine Translation (Q)
|
100% |
3178
54.7 IPS |
