Supermicro SYS-7049GP-TRT
Geekbench AI Score
3201
Single Precision Score
799
Half Precision Score
3908
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 06:46 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon Gold 6148 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Supermicro SYS-7049GP-TRT |
| Motherboard | Supermicro X11DPG-QT |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon Gold 6148 |
| Topology | 2 Processors, 40 Cores, 80 Threads |
| Identifier | GenuineIntel Family 6 Model 85 Stepping 4 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 20 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2688
499.9 IPS |
|
|
Image Classification (HP)
|
100% |
226
42.0 IPS |
|
|
Image Classification (Q)
|
96% |
2890
539.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
919
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
388
6.29 IPS |
|
|
Image Segmentation (Q)
|
97% |
5995
97.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13454
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5029
5.87 IPS |
|
|
Pose Estimation (Q)
|
86% |
21848
25.8 IPS |
|
|
Object Detection (SP)
|
100% |
2529
200.6 IPS |
|
|
Object Detection (HP)
|
100% |
294
23.3 IPS |
|
|
Object Detection (Q)
|
58% |
2702
295.2 IPS |
|
|
Face Detection (SP)
|
100% |
8040
95.5 IPS |
|
|
Face Detection (HP)
|
100% |
679
8.07 IPS |
|
|
Face Detection (Q)
|
96% |
6029
71.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9648
74.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1043
8.04 IPS |
|
|
Depth Estimation (Q)
|
78% |
8597
68.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22206
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9633
12.4 IPS |
|
|
Style Transfer (Q)
|
87% |
13833
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1917
70.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1238
45.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2499
92.6 IPS |
|
|
Text Classification (SP)
|
100% |
521
695.8 IPS |
|
|
Text Classification (HP)
|
100% |
281
375.1 IPS |
|
|
Text Classification (Q)
|
97% |
385
515.8 IPS |
|
|
Machine Translation (SP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
348
5.99 IPS |
|
|
Machine Translation (Q)
|
68% |
1180
22.8 IPS |
