Supermicro SYS-7049GP-TRT
Geekbench AI Score
19272
Single Precision Score
26371
Half Precision Score
12421
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 06:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| 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% |
7492
1.39 KIPS |
|
|
Image Classification (HP)
|
99% |
9760
1.82 KIPS |
|
|
Image Classification (Q)
|
100% |
5405
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10157
164.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12647
205.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8190
133.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
153150
178.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
290639
339.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
117933
138.2 IPS |
|
|
Object Detection (SP)
|
100% |
9404
745.9 IPS |
|
|
Object Detection (HP)
|
100% |
12345
979.2 IPS |
|
|
Object Detection (Q)
|
85% |
6250
502.8 IPS |
|
|
Face Detection (SP)
|
100% |
22696
269.7 IPS |
|
|
Face Detection (HP)
|
100% |
23438
278.5 IPS |
|
|
Face Detection (Q)
|
97% |
16743
199.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
54265
418.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
90068
693.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
33576
268.9 IPS |
|
|
Style Transfer (SP)
|
100% |
238082
306.1 IPS |
|
|
Style Transfer (HP)
|
100% |
507624
652.6 IPS |
|
|
Style Transfer (Q)
|
98% |
170996
220.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33454
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43578
1.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17736
656.7 IPS |
|
|
Text Classification (SP)
|
100% |
2388
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
2893
3.86 KIPS |
|
|
Text Classification (Q)
|
97% |
1291
1.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2753
47.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2719
46.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1218
22.8 IPS |
