Supermicro SYS-1028GQ-TRT
Geekbench AI Score
4182
Single Precision Score
4263
Half Precision Score
3882
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | arvind013NTU |
| Upload Date | January 16 2026 07:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU E5-2683 v3 @ 2.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Supermicro SYS-1028GQ-TRT |
| Motherboard | Supermicro X10DGQ |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2683 v3 |
| Topology | 2 Processors, 28 Cores, 56 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 28 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2800
520.6 IPS |
|
|
Image Classification (HP)
|
100% |
2897
538.8 IPS |
|
|
Image Classification (Q)
|
100% |
2682
498.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3615
58.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3819
61.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3939
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5121
5.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
5268
6.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
7400
8.68 IPS |
|
|
Object Detection (SP)
|
100% |
2532
200.8 IPS |
|
|
Object Detection (HP)
|
100% |
2558
202.9 IPS |
|
|
Object Detection (Q)
|
87% |
2815
225.7 IPS |
|
|
Face Detection (SP)
|
100% |
6568
78.0 IPS |
|
|
Face Detection (HP)
|
100% |
6709
79.7 IPS |
|
|
Face Detection (Q)
|
97% |
8889
106.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6797
52.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6577
50.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
7887
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18344
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19135
24.6 IPS |
|
|
Style Transfer (Q)
|
98% |
21511
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3878
143.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3819
141.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4160
154.1 IPS |
|
|
Text Classification (SP)
|
100% |
1678
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1681
2.24 KIPS |
|
|
Text Classification (Q)
|
91% |
246
330.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2341
40.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2457
42.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2289
39.4 IPS |
