Supermicro SYS-6028R-T-02-TR013
Geekbench AI Score
2164
Single Precision Score
479
Half Precision Score
3241
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | qcpi069 |
| Upload Date | April 07 2025 05:48 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2699 v3 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Supermicro SYS-6028R-T-02-TR013 |
| Motherboard | Supermicro X10DRi |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2699 v3 |
| Topology | 2 Processors, 36 Cores, 72 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 251.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1038
193.1 IPS |
|
|
Image Classification (HP)
|
100% |
94
17.5 IPS |
|
|
Image Classification (Q)
|
94% |
2767
517.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
826
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
145
2.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
1145
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8338
9.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
3613
4.22 IPS |
|
|
Pose Estimation (Q)
|
86% |
13425
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1326
105.1 IPS |
|
|
Object Detection (HP)
|
100% |
130
10.3 IPS |
|
|
Object Detection (Q)
|
58% |
2488
271.9 IPS |
|
|
Face Detection (SP)
|
100% |
2381
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
202
2.40 IPS |
|
|
Face Detection (Q)
|
96% |
7351
87.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6270
48.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
590
4.54 IPS |
|
|
Depth Estimation (Q)
|
78% |
8888
70.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14702
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8507
10.9 IPS |
|
|
Style Transfer (Q)
|
87% |
11044
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1648
60.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1430
52.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1613
59.8 IPS |
|
|
Text Classification (SP)
|
100% |
835
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
290
386.6 IPS |
|
|
Text Classification (Q)
|
97% |
728
975.3 IPS |
|
|
Machine Translation (SP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
238
4.10 IPS |
|
|
Machine Translation (Q)
|
68% |
1429
27.6 IPS |
