Supermicro Super Server
Geekbench AI Score
1945
Single Precision Score
931
Half Precision Score
2298
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 04:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E3-1270 v5 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X11SSL-F |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1270 v5 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1482
275.6 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.5 IPS |
|
|
Image Classification (Q)
|
96% |
2036
380.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
519
8.42 IPS |
|
|
Image Segmentation (Q)
|
97% |
1650
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3025
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
2470
2.88 IPS |
|
|
Pose Estimation (Q)
|
86% |
5021
5.94 IPS |
|
|
Object Detection (SP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (HP)
|
100% |
444
35.2 IPS |
|
|
Object Detection (Q)
|
58% |
1312
143.4 IPS |
|
|
Face Detection (SP)
|
100% |
2502
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
907
10.8 IPS |
|
|
Face Detection (Q)
|
96% |
3814
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3824
29.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1255
9.67 IPS |
|
|
Depth Estimation (Q)
|
78% |
4851
38.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7052
9.07 IPS |
|
|
Style Transfer (HP)
|
100% |
5512
7.09 IPS |
|
|
Style Transfer (Q)
|
87% |
8399
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1392
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1215
44.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2225
82.5 IPS |
|
|
Text Classification (SP)
|
100% |
1132
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
582
776.5 IPS |
|
|
Text Classification (Q)
|
97% |
373
499.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1435
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (Q)
|
68% |
1440
27.8 IPS |
