SchenkerTechnologiesGmbH XMG NEO (E25)
Geekbench AI Score
30249
Single Precision Score
51919
Half Precision Score
23670
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | faroudja |
| Upload Date | August 10 2025 09:23 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SchenkerTechnologiesGmbH XMG NEO (E25) |
| Motherboard | NB02 X6AR5xxY |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11744
2.18 KIPS |
|
|
Image Classification (HP)
|
100% |
17859
3.32 KIPS |
|
|
Image Classification (Q)
|
100% |
10921
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22211
360.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
31597
512.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
20490
333.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
191394
223.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
578466
675.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
162124
189.9 IPS |
|
|
Object Detection (SP)
|
100% |
15240
1.21 KIPS |
|
|
Object Detection (HP)
|
100% |
23478
1.86 KIPS |
|
|
Object Detection (Q)
|
86% |
13341
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
44761
531.9 IPS |
|
|
Face Detection (HP)
|
100% |
65554
778.9 IPS |
|
|
Face Detection (Q)
|
97% |
38408
457.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
73449
565.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
154351
1.19 KIPS |
|
|
Depth Estimation (Q)
|
78% |
57551
459.6 IPS |
|
|
Style Transfer (SP)
|
100% |
278182
357.6 IPS |
|
|
Style Transfer (HP)
|
100% |
880943
1.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
248528
320.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42594
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74831
2.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34065
1.26 KIPS |
|
|
Text Classification (SP)
|
100% |
3626
4.84 KIPS |
|
|
Text Classification (HP)
|
100% |
4565
6.09 KIPS |
|
|
Text Classification (Q)
|
97% |
2130
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5968
102.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6099
105.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2862
53.7 IPS |
