OEM Rack Server
Geekbench AI Score
51818
Single Precision Score
78677
Half Precision Score
37241
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Uat4 |
| Upload Date | July 04 2025 09:03 AM |
| Views | 8 |
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% |
18120
3.37 KIPS |
|
|
Image Classification (HP)
|
100% |
23539
4.38 KIPS |
|
|
Image Classification (Q)
|
100% |
15370
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
44901
727.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
60444
979.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
39861
648.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
413600
482.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
976784
1.14 KIPS |
|
|
Pose Estimation (Q)
|
96% |
332655
389.7 IPS |
|
|
Object Detection (SP)
|
100% |
26500
2.10 KIPS |
|
|
Object Detection (HP)
|
100% |
35613
2.82 KIPS |
|
|
Object Detection (Q)
|
85% |
21517
1.73 KIPS |
|
|
Face Detection (SP)
|
100% |
84167
1.00 KIPS |
|
|
Face Detection (HP)
|
100% |
117805
1.40 KIPS |
|
|
Face Detection (Q)
|
97% |
64392
767.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
109664
844.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
199603
1.54 KIPS |
|
|
Depth Estimation (Q)
|
77% |
77637
621.8 IPS |
|
|
Style Transfer (SP)
|
100% |
617351
793.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1816841
2.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
513536
662.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
77157
2.85 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
100268
3.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54163
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
4158
5.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5034
6.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2452
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
8562
147.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8516
146.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3432
64.4 IPS |
