Supermicro Super Server
Geekbench AI Score
999
Single Precision Score
999
Half Precision Score
1050
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | Gothic_Day |
| Upload Date | December 09 2024 07:32 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
714
132.8 IPS |
|
|
Image Classification (HP)
|
100% |
671
124.9 IPS |
|
|
Image Classification (Q)
|
99% |
709
132.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1221
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1221
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
763
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1514
1.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
1517
1.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
3440
4.03 IPS |
|
|
Object Detection (SP)
|
100% |
799
63.4 IPS |
|
|
Object Detection (HP)
|
100% |
770
61.1 IPS |
|
|
Object Detection (Q)
|
85% |
873
70.3 IPS |
|
|
Face Detection (SP)
|
100% |
1249
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
1256
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
1623
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1110
8.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
1108
8.54 IPS |
|
|
Depth Estimation (Q)
|
63% |
1411
13.2 IPS |
|
|
Style Transfer (SP)
|
100% |
1661
2.14 IPS |
|
|
Style Transfer (HP)
|
100% |
1668
2.14 IPS |
|
|
Style Transfer (Q)
|
98% |
4273
5.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
852
31.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
851
31.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1115
41.3 IPS |
|
|
Text Classification (SP)
|
100% |
425
567.7 IPS |
|
|
Text Classification (HP)
|
100% |
492
657.2 IPS |
|
|
Text Classification (Q)
|
92% |
285
383.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1130
19.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1067
18.4 IPS |
|
|
Machine Translation (Q)
|
58% |
324
7.60 IPS |
