SchenkerTechnologiesGmbH SCHENKER VIA 15 Pro (M22)
Geekbench AI Score
3038
Single Precision Score
2960
Half Precision Score
3679
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | maquiz |
| Upload Date | April 12 2025 10:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700U with Radeon Graphics |
| 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% |
1859
345.7 IPS |
|
|
Image Classification (HP)
|
100% |
1840
342.1 IPS |
|
|
Image Classification (Q)
|
100% |
2685
499.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1986
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2025
32.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3173
51.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4770
5.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3628
4.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
4993
5.86 IPS |
|
|
Object Detection (SP)
|
100% |
1712
135.8 IPS |
|
|
Object Detection (HP)
|
100% |
1760
139.6 IPS |
|
|
Object Detection (Q)
|
87% |
2415
193.7 IPS |
|
|
Face Detection (SP)
|
100% |
3485
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
3500
41.6 IPS |
|
|
Face Detection (Q)
|
97% |
7888
94.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5132
39.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5059
39.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
6452
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11602
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11295
14.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15197
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2307
85.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2335
86.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3335
123.5 IPS |
|
|
Text Classification (SP)
|
100% |
2008
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2018
2.69 KIPS |
|
|
Text Classification (Q)
|
91% |
753
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2314
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2304
39.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2279
39.3 IPS |
