Supermicro SYS-6028R-T-02-TR013
Geekbench AI Score
1491
Single Precision Score
1502
Half Precision Score
935
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | qcpi069 |
| Upload Date | April 07 2025 05:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
1107
205.8 IPS |
|
|
Image Classification (HP)
|
100% |
1176
218.6 IPS |
|
|
Image Classification (Q)
|
99% |
564
105.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1829
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1851
30.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
656
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2251
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2212
2.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
3851
4.51 IPS |
|
|
Object Detection (SP)
|
100% |
1351
107.2 IPS |
|
|
Object Detection (HP)
|
100% |
1360
107.9 IPS |
|
|
Object Detection (Q)
|
85% |
829
66.7 IPS |
|
|
Face Detection (SP)
|
100% |
1801
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
1678
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
1515
18.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1633
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1566
12.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1365
12.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2095
2.69 IPS |
|
|
Style Transfer (HP)
|
100% |
2122
2.73 IPS |
|
|
Style Transfer (Q)
|
98% |
3817
4.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1066
39.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1070
39.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
990
36.7 IPS |
|
|
Text Classification (SP)
|
100% |
902
1.20 KIPS |
|
|
Text Classification (HP)
|
100% |
903
1.20 KIPS |
|
|
Text Classification (Q)
|
92% |
197
265.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1492
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1657
28.5 IPS |
|
|
Machine Translation (Q)
|
58% |
283
6.65 IPS |
