Supermicro SYS-6028R-T-02-TR013
Geekbench AI Score
5548
Single Precision Score
5654
Half Precision Score
5725
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | qcpi069 |
| Upload Date | April 07 2025 05:43 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2699 v3 @ 2.30GHz |
| 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% |
3445
640.7 IPS |
|
|
Image Classification (HP)
|
100% |
3482
647.5 IPS |
|
|
Image Classification (Q)
|
100% |
3287
611.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4575
74.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4672
75.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5260
85.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7431
8.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
7605
8.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
10182
11.9 IPS |
|
|
Object Detection (SP)
|
100% |
3489
276.7 IPS |
|
|
Object Detection (HP)
|
100% |
3580
284.0 IPS |
|
|
Object Detection (Q)
|
87% |
3593
288.1 IPS |
|
|
Face Detection (SP)
|
100% |
9654
114.7 IPS |
|
|
Face Detection (HP)
|
100% |
9673
114.9 IPS |
|
|
Face Detection (Q)
|
97% |
11890
141.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8928
68.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9075
69.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
11022
86.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21960
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23178
29.8 IPS |
|
|
Style Transfer (Q)
|
98% |
29356
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4467
165.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4646
171.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5458
202.2 IPS |
|
|
Text Classification (SP)
|
100% |
2008
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2018
2.69 KIPS |
|
|
Text Classification (Q)
|
91% |
727
977.0 IPS |
|
|
Machine Translation (SP)
|
100% |
3983
68.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3958
68.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3921
67.5 IPS |
