Supermicro Super Server
Geekbench AI Score
2989
Single Precision Score
3012
Half Precision Score
3079
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 07 2025 09:16 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-1650 v4 @ 3.60GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X10SRi-F |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-1650 v4 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1704
316.9 IPS |
|
|
Image Classification (HP)
|
100% |
1713
318.7 IPS |
|
|
Image Classification (Q)
|
100% |
1868
347.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2189
35.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2198
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2401
39.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3907
4.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
3892
4.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
4700
5.51 IPS |
|
|
Object Detection (SP)
|
100% |
1722
136.6 IPS |
|
|
Object Detection (HP)
|
100% |
1717
136.2 IPS |
|
|
Object Detection (Q)
|
87% |
1979
158.7 IPS |
|
|
Face Detection (SP)
|
100% |
4249
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
4385
52.1 IPS |
|
|
Face Detection (Q)
|
97% |
5707
68.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4762
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4828
37.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
5405
42.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11930
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11875
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
13551
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2411
89.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2411
89.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2780
103.0 IPS |
|
|
Text Classification (SP)
|
100% |
1773
2.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1835
2.45 KIPS |
|
|
Text Classification (Q)
|
91% |
720
967.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2201
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2200
37.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2194
37.8 IPS |
