SchenkerTechnologiesGmbH XMG CORE (REN/E21)
Geekbench AI Score
1440
Single Precision Score
714
Half Precision Score
1877
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 12 2025 12:11 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 4800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | SchenkerTechnologiesGmbH XMG CORE (REN/E21) |
| Motherboard | NB02 GMxNGxx |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 4800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1193
221.9 IPS |
|
|
Image Classification (HP)
|
100% |
275
51.2 IPS |
|
|
Image Classification (Q)
|
96% |
1824
340.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
441
7.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
366
5.93 IPS |
|
|
Image Segmentation (Q)
|
97% |
1670
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2479
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2028
2.37 IPS |
|
|
Pose Estimation (Q)
|
86% |
4052
4.79 IPS |
|
|
Object Detection (SP)
|
100% |
1184
93.9 IPS |
|
|
Object Detection (HP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (Q)
|
58% |
899
98.3 IPS |
|
|
Face Detection (SP)
|
100% |
1722
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
588
6.98 IPS |
|
|
Face Detection (Q)
|
96% |
2949
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3033
23.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1105
8.51 IPS |
|
|
Depth Estimation (Q)
|
78% |
4138
33.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5819
7.48 IPS |
|
|
Style Transfer (HP)
|
100% |
5072
6.52 IPS |
|
|
Style Transfer (Q)
|
87% |
7468
9.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1142
42.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
885
32.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1711
63.4 IPS |
|
|
Text Classification (SP)
|
100% |
736
981.8 IPS |
|
|
Text Classification (HP)
|
100% |
383
511.5 IPS |
|
|
Text Classification (Q)
|
97% |
282
378.2 IPS |
|
|
Machine Translation (SP)
|
100% |
976
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
437
7.53 IPS |
|
|
Machine Translation (Q)
|
68% |
1113
21.5 IPS |
