Supermicro Super Server
Geekbench AI Score
5572
Single Precision Score
1568
Half Precision Score
7371
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | fastloopattack |
| Upload Date | June 30 2025 12:25 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Xeon(R) 6747P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X14SBI-F |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) 6747P |
| Topology | 1 Processor, 48 Cores, 96 Threads |
| Identifier | GenuineIntel Family 6 Model 173 Stepping 1 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3469
645.2 IPS |
|
|
Image Classification (HP)
|
100% |
471
87.5 IPS |
|
|
Image Classification (Q)
|
99% |
5416
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
734
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2899
47.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
25214
29.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8275
9.66 IPS |
|
|
Pose Estimation (Q)
|
94% |
63389
74.3 IPS |
|
|
Object Detection (SP)
|
100% |
4027
319.4 IPS |
|
|
Object Detection (HP)
|
100% |
590
46.8 IPS |
|
|
Object Detection (Q)
|
86% |
6720
540.1 IPS |
|
|
Face Detection (SP)
|
100% |
12192
144.9 IPS |
|
|
Face Detection (HP)
|
100% |
1475
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
9572
114.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
15712
121.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2116
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
18739
149.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43332
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
17347
22.3 IPS |
|
|
Style Transfer (Q)
|
98% |
37293
48.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3971
146.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2640
97.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3406
126.1 IPS |
|
|
Text Classification (SP)
|
100% |
1199
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
578
770.9 IPS |
|
|
Text Classification (Q)
|
97% |
1190
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1594
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2611
52.5 IPS |
