Supermicro Super Server
Geekbench AI Score
34632
Single Precision Score
49854
Half Precision Score
26772
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 30 2025 06:17 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro for Workstations (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro H13SAE-MF |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12555
2.33 KIPS |
|
|
Image Classification (HP)
|
99% |
17267
3.22 KIPS |
|
|
Image Classification (Q)
|
100% |
11064
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24349
394.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
31759
514.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
21655
352.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
261550
305.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
501724
585.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
228334
267.5 IPS |
|
|
Object Detection (SP)
|
100% |
17281
1.37 KIPS |
|
|
Object Detection (HP)
|
100% |
23963
1.90 KIPS |
|
|
Object Detection (Q)
|
85% |
14914
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
51096
607.1 IPS |
|
|
Face Detection (HP)
|
100% |
68322
811.8 IPS |
|
|
Face Detection (Q)
|
97% |
43316
516.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
83652
644.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
150150
1.16 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63719
508.8 IPS |
|
|
Style Transfer (SP)
|
100% |
392771
504.9 IPS |
|
|
Style Transfer (HP)
|
100% |
885667
1.14 KIPS |
|
|
Style Transfer (Q)
|
98% |
346551
446.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54435
2.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73710
2.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41476
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
3871
5.17 KIPS |
|
|
Text Classification (Q)
|
97% |
2087
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
6124
105.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5549
95.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2801
52.5 IPS |
