Supermicro Super Server
Geekbench AI Score
2211
Single Precision Score
572
Half Precision Score
3188
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | Gothic_Day |
| Upload Date | December 09 2024 07:51 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2680 v4 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux trixie/sid |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X10DRD-i |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 2 Processors, 28 Cores, 56 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 47.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
829
154.2 IPS |
|
|
Image Classification (HP)
|
100% |
115
21.4 IPS |
|
|
Image Classification (Q)
|
94% |
2856
533.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
845
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
194
3.15 IPS |
|
|
Image Segmentation (Q)
|
98% |
1534
24.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10908
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
4725
5.51 IPS |
|
|
Pose Estimation (Q)
|
86% |
12646
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1135
90.0 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (Q)
|
58% |
1880
205.4 IPS |
|
|
Face Detection (SP)
|
100% |
1596
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
237
2.81 IPS |
|
|
Face Detection (Q)
|
96% |
6283
74.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5116
39.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
706
5.44 IPS |
|
|
Depth Estimation (Q)
|
78% |
7717
61.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18202
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11752
15.1 IPS |
|
|
Style Transfer (Q)
|
87% |
11705
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1834
67.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1215
44.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2085
77.2 IPS |
|
|
Text Classification (SP)
|
100% |
1001
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
314
419.5 IPS |
|
|
Text Classification (Q)
|
97% |
768
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
304
5.23 IPS |
|
|
Machine Translation (Q)
|
68% |
1147
22.2 IPS |
