Supermicro Super Server
Geekbench AI Score
13143
Single Precision Score
21316
Half Precision Score
22409
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 08 2025 01:10 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Data Center GPU Flex Series 170 (dGPU) |
| 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% |
5799
1.08 KIPS |
|
|
Image Classification (HP)
|
100% |
8324
1.55 KIPS |
|
|
Image Classification (Q)
|
100% |
8288
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17182
278.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
25616
415.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
26416
428.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
64043
74.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
205938
240.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
328321
384.4 IPS |
|
|
Object Detection (SP)
|
100% |
5564
441.3 IPS |
|
|
Object Detection (HP)
|
100% |
10410
825.7 IPS |
|
|
Object Detection (Q)
|
88% |
10595
849.1 IPS |
|
|
Face Detection (SP)
|
100% |
21046
250.1 IPS |
|
|
Face Detection (HP)
|
100% |
27795
330.3 IPS |
|
|
Face Detection (Q)
|
100% |
29128
346.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
26164
201.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
52673
405.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
52185
405.7 IPS |
|
|
Style Transfer (SP)
|
100% |
159013
204.4 IPS |
|
|
Style Transfer (HP)
|
100% |
318350
409.2 IPS |
|
|
Style Transfer (Q)
|
98% |
399262
514.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17645
651.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24990
922.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24857
920.5 IPS |
|
|
Text Classification (SP)
|
100% |
1610
2.15 KIPS |
|
|
Text Classification (HP)
|
100% |
1492
1.99 KIPS |
|
|
Text Classification (Q)
|
92% |
1101
1.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1742
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2439
42.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2525
43.5 IPS |
