SchenkerTechnologiesGmbH SCHENKER VIA 15 Pro (M22)
Geekbench AI Score
2127
Single Precision Score
911
Half Precision Score
2084
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | maquiz |
| Upload Date | April 12 2025 10:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2019 Standard (64-bit) |
| Model | SchenkerTechnologiesGmbH SCHENKER VIA 15 Pro (M22) |
| Motherboard | NB02 PF5LUXG |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1965
365.5 IPS |
|
|
Image Classification (HP)
|
100% |
410
76.3 IPS |
|
|
Image Classification (Q)
|
96% |
2352
439.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
461
7.47 IPS |
|
|
Image Segmentation (Q)
|
97% |
1194
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3894
4.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
2773
3.24 IPS |
|
|
Pose Estimation (Q)
|
86% |
4498
5.32 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.7 IPS |
|
|
Object Detection (HP)
|
100% |
419
33.3 IPS |
|
|
Object Detection (Q)
|
58% |
1282
140.1 IPS |
|
|
Face Detection (SP)
|
100% |
2941
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
750
8.92 IPS |
|
|
Face Detection (Q)
|
96% |
4298
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5322
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1371
10.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
4753
37.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8900
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6826
8.77 IPS |
|
|
Style Transfer (Q)
|
87% |
8180
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1387
51.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1203
44.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1452
53.8 IPS |
|
|
Text Classification (SP)
|
100% |
1057
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
464
619.0 IPS |
|
|
Text Classification (Q)
|
97% |
324
434.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1183
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
458
7.89 IPS |
|
|
Machine Translation (Q)
|
68% |
1214
23.5 IPS |
