Supermicro Super Server
Geekbench AI Score
5578
Single Precision Score
1550
Half Precision Score
7371
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | fastloopattack |
| Upload Date | July 01 2025 05:21 AM |
| 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% |
3355
623.9 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.5 IPS |
|
|
Image Classification (Q)
|
99% |
5037
939.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1425
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
781
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2906
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
25274
29.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
7458
8.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
65648
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
3951
313.4 IPS |
|
|
Object Detection (HP)
|
100% |
605
48.0 IPS |
|
|
Object Detection (Q)
|
86% |
7011
563.5 IPS |
|
|
Face Detection (SP)
|
100% |
12094
143.7 IPS |
|
|
Face Detection (HP)
|
100% |
1386
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
9268
110.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15622
120.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2166
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
18704
149.3 IPS |
|
|
Style Transfer (SP)
|
100% |
42770
55.0 IPS |
|
|
Style Transfer (HP)
|
100% |
16367
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
38393
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4002
147.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2544
93.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3739
138.5 IPS |
|
|
Text Classification (SP)
|
100% |
1244
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
580
774.3 IPS |
|
|
Text Classification (Q)
|
97% |
1099
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1520
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2572
51.7 IPS |
