SchenkerTechnologiesGmbH XMG NEO (A25)
Geekbench AI Score
20319
Single Precision Score
42225
Half Precision Score
16114
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | otze54 |
| Upload Date | September 14 2025 07:33 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SchenkerTechnologiesGmbH XMG NEO (A25) |
| Motherboard | NB02 X6FR5xxY |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9955HX3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9002
1.67 KIPS |
|
|
Image Classification (HP)
|
100% |
17703
3.29 KIPS |
|
|
Image Classification (Q)
|
100% |
8267
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15991
259.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
29711
481.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14354
233.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
91609
106.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
296693
346.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
84555
99.0 IPS |
|
|
Object Detection (SP)
|
100% |
11009
873.2 IPS |
|
|
Object Detection (HP)
|
100% |
23895
1.90 KIPS |
|
|
Object Detection (Q)
|
86% |
9200
739.2 IPS |
|
|
Face Detection (SP)
|
100% |
29141
346.3 IPS |
|
|
Face Detection (HP)
|
100% |
53965
641.2 IPS |
|
|
Face Detection (Q)
|
97% |
24653
293.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
40895
315.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
107134
825.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
36962
295.3 IPS |
|
|
Style Transfer (SP)
|
100% |
153391
197.2 IPS |
|
|
Style Transfer (HP)
|
100% |
586372
753.8 IPS |
|
|
Style Transfer (Q)
|
98% |
116053
149.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23804
879.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58417
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21777
806.4 IPS |
|
|
Text Classification (SP)
|
100% |
3292
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
4148
5.54 KIPS |
|
|
Text Classification (Q)
|
97% |
1993
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
5771
99.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5883
101.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2787
52.3 IPS |
