OEM Rack Server
Geekbench AI Score
17884
Single Precision Score
17879
Half Precision Score
31259
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Uat4 |
| Upload Date | July 04 2025 04:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
7775
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
7614
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
13750
2.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15487
251.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15679
254.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
35475
575.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
62898
73.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
61447
71.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
227203
266.0 IPS |
|
|
Object Detection (SP)
|
100% |
9901
785.3 IPS |
|
|
Object Detection (HP)
|
100% |
9870
782.9 IPS |
|
|
Object Detection (Q)
|
88% |
15645
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
23690
281.5 IPS |
|
|
Face Detection (HP)
|
100% |
24101
286.4 IPS |
|
|
Face Detection (Q)
|
100% |
47816
568.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
34049
262.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
34656
267.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
62473
486.2 IPS |
|
|
Style Transfer (SP)
|
100% |
175661
225.8 IPS |
|
|
Style Transfer (HP)
|
100% |
176067
226.3 IPS |
|
|
Style Transfer (Q)
|
98% |
343682
443.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20552
758.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20617
761.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
33326
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3024
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3002
4.01 KIPS |
|
|
Text Classification (Q)
|
92% |
2950
3.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5071
87.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5065
87.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5090
87.7 IPS |
