Supermicro Super Server
Geekbench AI Score
5419
Single Precision Score
1528
Half Precision Score
7231
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | fastloopattack |
| Upload Date | June 27 2025 05:39 PM |
| Views | 6 |
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% |
3200
595.1 IPS |
|
|
Image Classification (HP)
|
100% |
446
83.0 IPS |
|
|
Image Classification (Q)
|
99% |
5187
967.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1439
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
741
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2856
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
24587
28.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7439
8.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
66460
77.9 IPS |
|
|
Object Detection (SP)
|
100% |
3923
311.2 IPS |
|
|
Object Detection (HP)
|
100% |
583
46.2 IPS |
|
|
Object Detection (Q)
|
86% |
6491
521.7 IPS |
|
|
Face Detection (SP)
|
100% |
11695
139.0 IPS |
|
|
Face Detection (HP)
|
100% |
1456
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
9035
107.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14188
109.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2100
16.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
18234
145.5 IPS |
|
|
Style Transfer (SP)
|
100% |
42488
54.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15817
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
36998
47.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3871
142.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2632
97.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3703
137.1 IPS |
|
|
Text Classification (SP)
|
100% |
1211
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
574
766.2 IPS |
|
|
Text Classification (Q)
|
97% |
1068
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1490
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
665
11.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2538
51.0 IPS |
