Supermicro Super Server
Geekbench AI Score
3313
Single Precision Score
958
Half Precision Score
3189
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 02:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Xeon(R) Platinum 8336C CPU @ 2.30GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X12DAi-N6 |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) Platinum 8336C CPU @ 2.30GHz |
| Topology | 2 Processors, 64 Cores, 128 Threads |
| Identifier | GenuineIntel Family 6 Model 106 Stepping 6 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 768.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1183
220.1 IPS |
|
|
Image Classification (HP)
|
100% |
213
39.6 IPS |
|
|
Image Classification (Q)
|
99% |
2321
432.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1151
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
442
7.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
1963
31.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
19639
22.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
5718
6.67 IPS |
|
|
Pose Estimation (Q)
|
95% |
34601
40.6 IPS |
|
|
Object Detection (SP)
|
100% |
1989
157.8 IPS |
|
|
Object Detection (HP)
|
100% |
297
23.6 IPS |
|
|
Object Detection (Q)
|
88% |
1293
103.7 IPS |
|
|
Face Detection (SP)
|
100% |
3785
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
787
9.36 IPS |
|
|
Face Detection (Q)
|
97% |
3071
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8742
67.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1249
9.62 IPS |
|
|
Depth Estimation (Q)
|
77% |
7032
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
30662
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11549
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
22240
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2475
91.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2674
98.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2116
78.4 IPS |
|
|
Text Classification (SP)
|
100% |
1132
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
459
613.1 IPS |
|
|
Text Classification (Q)
|
97% |
346
463.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1055
18.2 IPS |
|
|
Machine Translation (HP)
|
100% |
295
5.08 IPS |
|
|
Machine Translation (Q)
|
60% |
1522
33.9 IPS |
