SchenkerTechnologiesGmbH SCHENKER VIA 14 Pro (M24)
Geekbench AI Score
2170
Single Precision Score
1124
Half Precision Score
5182
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 07 2025 02:47 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SchenkerTechnologiesGmbH SCHENKER VIA 14 Pro (M24) |
| Motherboard | NB05 R14FA2 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1665
309.7 IPS |
|
|
Image Classification (HP)
|
100% |
475
88.4 IPS |
|
|
Image Classification (Q)
|
99% |
5283
985.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
945
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
613
9.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
5663
92.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3169
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2781
3.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
13734
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1597
126.7 IPS |
|
|
Object Detection (HP)
|
100% |
534
42.4 IPS |
|
|
Object Detection (Q)
|
86% |
4679
376.0 IPS |
|
|
Face Detection (SP)
|
100% |
3208
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
1179
14.0 IPS |
|
|
Face Detection (Q)
|
97% |
7328
87.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4276
32.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1753
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
5313
42.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7605
9.78 IPS |
|
|
Style Transfer (HP)
|
100% |
6435
8.27 IPS |
|
|
Style Transfer (Q)
|
98% |
18051
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1345
49.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1262
46.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3900
144.4 IPS |
|
|
Text Classification (SP)
|
100% |
1281
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
668
891.1 IPS |
|
|
Text Classification (Q)
|
97% |
1213
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1620
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2187
43.9 IPS |
