Supermicro Super Server
Geekbench AI Score
1229
Single Precision Score
1222
Half Precision Score
734
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | Gothic_Day |
| Upload Date | December 09 2024 07:49 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2680 v4 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X10DRL-i |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2680 v4 |
| Topology | 1 Processor, 14 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 79 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.68 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1110
206.5 IPS |
|
|
Image Classification (HP)
|
100% |
1042
193.8 IPS |
|
|
Image Classification (Q)
|
99% |
413
76.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1395
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1410
22.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
474
7.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
1396
1.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
1401
1.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
2142
2.51 IPS |
|
|
Object Detection (SP)
|
100% |
1088
86.3 IPS |
|
|
Object Detection (HP)
|
100% |
1063
84.3 IPS |
|
|
Object Detection (Q)
|
85% |
589
47.4 IPS |
|
|
Face Detection (SP)
|
100% |
1456
17.3 IPS |
|
|
Face Detection (HP)
|
100% |
1471
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
1239
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1232
9.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
1253
9.65 IPS |
|
|
Depth Estimation (Q)
|
63% |
1117
10.5 IPS |
|
|
Style Transfer (SP)
|
100% |
1303
1.67 IPS |
|
|
Style Transfer (HP)
|
100% |
1302
1.67 IPS |
|
|
Style Transfer (Q)
|
98% |
2835
3.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1169
43.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1184
43.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
696
25.8 IPS |
|
|
Text Classification (SP)
|
100% |
886
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
922
1.23 KIPS |
|
|
Text Classification (Q)
|
92% |
242
325.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1385
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1298
22.4 IPS |
|
|
Machine Translation (Q)
|
58% |
281
6.61 IPS |
