Supermicro Super Server
Geekbench AI Score
14090
Single Precision Score
12422
Half Precision Score
31884
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | danm1988 |
| Upload Date | April 16 2025 11:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU Max 9480 |
| System Information | |
|---|---|
| Operating System | openSUSE Leap 15.6 |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X13SEI-TF |
| 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 | 3.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7892
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
8653
1.61 KIPS |
|
|
Image Classification (Q)
|
100% |
15379
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13715
222.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8693
140.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
34036
551.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
33568
39.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
27667
32.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
248013
290.4 IPS |
|
|
Object Detection (SP)
|
100% |
8088
641.6 IPS |
|
|
Object Detection (HP)
|
100% |
9507
754.1 IPS |
|
|
Object Detection (Q)
|
88% |
16293
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
24922
296.1 IPS |
|
|
Face Detection (HP)
|
100% |
24648
292.9 IPS |
|
|
Face Detection (Q)
|
100% |
42654
506.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
25158
193.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
25422
195.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
54044
420.8 IPS |
|
|
Style Transfer (SP)
|
100% |
100291
128.9 IPS |
|
|
Style Transfer (HP)
|
100% |
70780
91.0 IPS |
|
|
Style Transfer (Q)
|
98% |
595056
767.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13294
490.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12183
449.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25696
951.6 IPS |
|
|
Text Classification (SP)
|
100% |
2512
3.35 KIPS |
|
|
Text Classification (HP)
|
100% |
1468
1.96 KIPS |
|
|
Text Classification (Q)
|
92% |
2736
3.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5000
86.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5576
96.0 IPS |
|
|
Machine Translation (Q)
|
100% |
5323
91.7 IPS |
