Supermicro SYS-1028GQ-TRT
Geekbench AI Score
2426
Single Precision Score
658
Half Precision Score
2340
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | arvind013NTU |
| Upload Date | January 16 2026 06:57 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2683 v3 |
| 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% |
2225
413.7 IPS |
|
|
Image Classification (HP)
|
100% |
208
38.7 IPS |
|
|
Image Classification (Q)
|
96% |
2219
414.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
746
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
356
5.77 IPS |
|
|
Image Segmentation (Q)
|
97% |
2900
47.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6334
7.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
3006
3.51 IPS |
|
|
Pose Estimation (Q)
|
86% |
6873
8.13 IPS |
|
|
Object Detection (SP)
|
100% |
2048
162.4 IPS |
|
|
Object Detection (HP)
|
100% |
277
21.9 IPS |
|
|
Object Detection (Q)
|
58% |
1616
176.6 IPS |
|
|
Face Detection (SP)
|
100% |
5531
65.7 IPS |
|
|
Face Detection (HP)
|
100% |
602
7.15 IPS |
|
|
Face Detection (Q)
|
96% |
4451
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6836
52.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
826
6.37 IPS |
|
|
Depth Estimation (Q)
|
78% |
5908
47.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13377
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
6895
8.86 IPS |
|
|
Style Transfer (Q)
|
87% |
8442
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1411
52.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
969
35.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1986
73.6 IPS |
|
|
Text Classification (SP)
|
100% |
567
756.9 IPS |
|
|
Text Classification (HP)
|
100% |
250
333.9 IPS |
|
|
Text Classification (Q)
|
97% |
164
219.5 IPS |
|
|
Machine Translation (SP)
|
100% |
811
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (Q)
|
68% |
954
18.4 IPS |
