OEM Rack Server
Geekbench AI Score
51741
Single Precision Score
78635
Half Precision Score
37184
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Uat4 |
| Upload Date | July 04 2025 05:00 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | OEM Rack Server |
| Motherboard | OEM T2SEEP |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD EPYC 9575F 64-Core Processor |
| Topology | 1 Processor, 64 Cores |
| Identifier | AuthenticAMD Family 26 Model 2 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 64 Cores |
| Memory Information | |
|---|---|
| Size | 384.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18196
3.38 KIPS |
|
|
Image Classification (HP)
|
100% |
23591
4.39 KIPS |
|
|
Image Classification (Q)
|
100% |
15306
2.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
44976
729.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
60563
981.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
39824
647.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
415991
485.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
991910
1.16 KIPS |
|
|
Pose Estimation (Q)
|
96% |
333393
390.5 IPS |
|
|
Object Detection (SP)
|
100% |
26720
2.12 KIPS |
|
|
Object Detection (HP)
|
100% |
35917
2.85 KIPS |
|
|
Object Detection (Q)
|
85% |
21604
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
83665
994.1 IPS |
|
|
Face Detection (HP)
|
100% |
117805
1.40 KIPS |
|
|
Face Detection (Q)
|
97% |
64227
765.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
109188
841.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
198609
1.53 KIPS |
|
|
Depth Estimation (Q)
|
77% |
77492
620.7 IPS |
|
|
Style Transfer (SP)
|
100% |
617934
794.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1785154
2.29 KIPS |
|
|
Style Transfer (Q)
|
98% |
512166
660.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
76342
2.82 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
100128
3.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53755
1.99 KIPS |
|
|
Text Classification (SP)
|
100% |
4105
5.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4974
6.64 KIPS |
|
|
Text Classification (Q)
|
97% |
2449
3.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
8547
147.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8538
147.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3430
64.3 IPS |
