MEDION 14 S1 OLED (OpenVINO CPU) MEDION 14 S1 OLED
Geekbench AI Score
1969
Single Precision Score
1922
Half Precision Score
3908
Quantized Score
Geekbench AI 1.4.0 Pro for Windows AVX2
Result Information
| User | TechFi |
| Upload Date | July 28 2025 11:48 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 5 120U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MEDION 14 S1 OLED |
| Motherboard | MEDION NM14RPL |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | Intel Core 5 120U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1172
217.9 IPS |
|
|
Image Classification (HP)
|
100% |
1172
218.0 IPS |
|
|
Image Classification (Q)
|
100% |
2314
430.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1557
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1570
25.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2770
44.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2863
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2029
2.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
7345
8.60 IPS |
|
|
Object Detection (SP)
|
100% |
953
75.6 IPS |
|
|
Object Detection (HP)
|
100% |
939
74.5 IPS |
|
|
Object Detection (Q)
|
88% |
2331
186.9 IPS |
|
|
Face Detection (SP)
|
100% |
2961
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
2836
33.7 IPS |
|
|
Face Detection (Q)
|
100% |
5434
64.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3074
23.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3193
24.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
6243
48.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6212
7.99 IPS |
|
|
Style Transfer (HP)
|
100% |
6993
8.99 IPS |
|
|
Style Transfer (Q)
|
98% |
23094
29.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1374
50.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1383
51.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3065
113.5 IPS |
|
|
Text Classification (SP)
|
100% |
1377
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
1377
1.84 KIPS |
|
|
Text Classification (Q)
|
92% |
2373
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
1649
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1634
28.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1331
22.9 IPS |
