netcup KVM Server
Geekbench AI Score
3431
Single Precision Score
872
Half Precision Score
7527
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| Upload Date | November 28 2025 05:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD EPYC 9645 96-Core Processor |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 13 (trixie) |
| Model | netcup KVM Server |
| Motherboard | N/A |
| CPU Information | |
|---|---|
| Name | AMD EPYC 9645 96-Core Processor |
| Topology | 12 Processors, 12 Cores |
| Identifier | AuthenticAMD Family 26 Model 17 Stepping 0 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1470
273.3 IPS |
|
|
Image Classification (HP)
|
100% |
174
32.3 IPS |
|
|
Image Classification (Q)
|
97% |
7451
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (Q)
|
99% |
3009
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12144
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
7592
8.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
33992
39.9 IPS |
|
|
Object Detection (SP)
|
100% |
1683
133.5 IPS |
|
|
Object Detection (HP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (Q)
|
86% |
6884
553.3 IPS |
|
|
Face Detection (SP)
|
100% |
2659
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
388
4.61 IPS |
|
|
Face Detection (Q)
|
97% |
13217
157.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7784
60.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1130
8.70 IPS |
|
|
Depth Estimation (Q)
|
78% |
16496
131.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21905
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15245
19.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31626
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2867
105.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2116
78.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3599
133.3 IPS |
|
|
Text Classification (SP)
|
100% |
1333
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
486
648.1 IPS |
|
|
Text Classification (Q)
|
97% |
1489
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2503
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
460
7.93 IPS |
|
|
Machine Translation (Q)
|
65% |
3014
60.6 IPS |
