Supermicro Super Server
Geekbench AI Score
5744
Single Precision Score
8918
Half Precision Score
14357
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | fastloopattack |
| Upload Date | June 26 2025 03:24 PM |
| Views | 6 |
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 | 2.10 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3209
596.8 IPS |
|
|
Image Classification (HP)
|
100% |
4423
822.5 IPS |
|
|
Image Classification (Q)
|
100% |
5542
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6473
104.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1605
26.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
14832
240.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14414
16.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
55914
65.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
98272
115.1 IPS |
|
|
Object Detection (SP)
|
100% |
2989
237.1 IPS |
|
|
Object Detection (HP)
|
100% |
4959
393.4 IPS |
|
|
Object Detection (Q)
|
88% |
6742
540.4 IPS |
|
|
Face Detection (SP)
|
100% |
10013
119.0 IPS |
|
|
Face Detection (HP)
|
100% |
14109
167.6 IPS |
|
|
Face Detection (Q)
|
100% |
22784
270.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10929
84.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
19693
151.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
22797
177.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30156
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
142719
183.5 IPS |
|
|
Style Transfer (Q)
|
98% |
191605
247.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4062
150.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12979
479.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15180
562.2 IPS |
|
|
Text Classification (SP)
|
100% |
1348
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1283
1.71 KIPS |
|
|
Text Classification (Q)
|
92% |
1609
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2419
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2450
42.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2811
48.4 IPS |
