Supermicro Super Server
Geekbench AI Score
5028
Single Precision Score
7841
Half Precision Score
12637
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | fastloopattack |
| Upload Date | June 30 2025 12:28 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
2566
477.2 IPS |
|
|
Image Classification (HP)
|
100% |
4516
839.9 IPS |
|
|
Image Classification (Q)
|
100% |
5692
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4957
80.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
14059
227.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11967
14.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
38927
45.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
78370
91.8 IPS |
|
|
Object Detection (SP)
|
100% |
2465
195.5 IPS |
|
|
Object Detection (HP)
|
100% |
4594
364.4 IPS |
|
|
Object Detection (Q)
|
88% |
5871
470.7 IPS |
|
|
Face Detection (SP)
|
100% |
9728
115.6 IPS |
|
|
Face Detection (HP)
|
100% |
14143
168.1 IPS |
|
|
Face Detection (Q)
|
100% |
16250
193.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8307
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17547
135.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
22776
177.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27481
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
100563
129.3 IPS |
|
|
Style Transfer (Q)
|
98% |
173466
223.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4222
155.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11175
412.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11765
435.7 IPS |
|
|
Text Classification (SP)
|
100% |
1226
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1186
1.58 KIPS |
|
|
Text Classification (Q)
|
92% |
1534
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2397
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2585
44.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2436
42.0 IPS |
