SchenkerTechnologiesGmbH XMG PRO (E25/M25)
Geekbench AI Score
5089
Single Precision Score
2012
Half Precision Score
8743
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | Opastyler |
| Upload Date | March 04 2026 07:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 9 275HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SchenkerTechnologiesGmbH XMG PRO (E25/M25) |
| Motherboard | NB02 X6AR5xxW_mLED |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4063
755.5 IPS |
|
|
Image Classification (HP)
|
100% |
726
135.0 IPS |
|
|
Image Classification (Q)
|
99% |
7316
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1979
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1307
21.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13065
212.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9880
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4886
5.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
26377
30.9 IPS |
|
|
Object Detection (SP)
|
100% |
3882
307.9 IPS |
|
|
Object Detection (HP)
|
100% |
917
72.7 IPS |
|
|
Object Detection (Q)
|
86% |
8441
678.4 IPS |
|
|
Face Detection (SP)
|
100% |
11778
139.9 IPS |
|
|
Face Detection (HP)
|
100% |
2130
25.3 IPS |
|
|
Face Detection (Q)
|
97% |
10568
126.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10516
81.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2878
22.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
18466
147.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23118
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15702
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
25790
33.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3315
122.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2537
93.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5572
206.3 IPS |
|
|
Text Classification (SP)
|
100% |
1541
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (Q)
|
97% |
1302
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2585
44.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1223
21.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3361
67.5 IPS |
