MEDION 14 S1 OLED (OpenVINO GPU) MEDION 14 S1 OLED
Geekbench AI Score
3503
Single Precision Score
4990
Half Precision Score
8035
Quantized Score
Geekbench AI 1.4.0 Pro for Windows AVX2
Result Information
| User | TechFi |
| Upload Date | July 28 2025 12:08 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
2165
402.5 IPS |
|
|
Image Classification (HP)
|
100% |
3257
605.6 IPS |
|
|
Image Classification (Q)
|
99% |
4499
839.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3115
50.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5237
84.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6500
105.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7158
8.35 IPS |
|
|
Pose Estimation (HP)
|
99% |
5427
6.33 IPS |
|
|
Pose Estimation (Q)
|
97% |
24105
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2070
164.2 IPS |
|
|
Object Detection (HP)
|
100% |
3148
249.7 IPS |
|
|
Object Detection (Q)
|
90% |
5031
402.2 IPS |
|
|
Face Detection (SP)
|
100% |
5403
64.2 IPS |
|
|
Face Detection (HP)
|
100% |
9157
108.8 IPS |
|
|
Face Detection (Q)
|
100% |
14516
172.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7526
58.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11890
91.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
16281
126.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18148
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26715
34.3 IPS |
|
|
Style Transfer (Q)
|
98% |
52825
68.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2992
110.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4585
169.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9551
353.7 IPS |
|
|
Text Classification (SP)
|
71% |
1130
1.63 KIPS |
|
|
Text Classification (HP)
|
71% |
1225
1.77 KIPS |
|
|
Text Classification (Q)
|
92% |
1299
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1116
19.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2014
34.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2042
35.3 IPS |
