OEM Rack Server
Geekbench AI Score
5506
Single Precision Score
2234
Half Precision Score
8474
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Uat4 |
| Upload Date | July 04 2025 09:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD EPYC 9575F 64-Core Processor |
| 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% |
3641
677.1 IPS |
|
|
Image Classification (HP)
|
100% |
659
122.6 IPS |
|
|
Image Classification (Q)
|
99% |
4104
765.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1421
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1193
19.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15358
249.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
49927
58.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15612
18.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
95438
111.9 IPS |
|
|
Object Detection (SP)
|
100% |
3656
290.0 IPS |
|
|
Object Detection (HP)
|
100% |
881
69.9 IPS |
|
|
Object Detection (Q)
|
86% |
6203
498.6 IPS |
|
|
Face Detection (SP)
|
100% |
12539
149.0 IPS |
|
|
Face Detection (HP)
|
100% |
2042
24.3 IPS |
|
|
Face Detection (Q)
|
97% |
11356
135.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16046
123.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3628
28.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
18164
144.9 IPS |
|
|
Style Transfer (SP)
|
100% |
49377
63.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30069
38.7 IPS |
|
|
Style Transfer (Q)
|
98% |
81816
105.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3033
112.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2502
92.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1691
62.6 IPS |
|
|
Text Classification (SP)
|
100% |
762
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
519
692.2 IPS |
|
|
Text Classification (Q)
|
97% |
695
930.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
994
17.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2582
51.9 IPS |
