MEDION 14 S1 OLED (ONNX CPU) MEDION 14 S1 OLED
Geekbench AI Score
1973
Single Precision Score
754
Half Precision Score
4122
Quantized Score
Geekbench AI 1.4.0 Pro for Windows AVX2
Result Information
| User | TechFi |
| Upload Date | July 28 2025 11:43 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1831
340.5 IPS |
|
|
Image Classification (HP)
|
100% |
368
68.5 IPS |
|
|
Image Classification (Q)
|
99% |
3494
651.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
804
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
588
9.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
4515
73.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2418
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1469
1.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
8218
9.64 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (Q)
|
86% |
3441
276.5 IPS |
|
|
Face Detection (SP)
|
100% |
3655
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
931
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
4814
57.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4289
33.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
974
7.50 IPS |
|
|
Depth Estimation (Q)
|
78% |
8052
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6267
8.06 IPS |
|
|
Style Transfer (HP)
|
100% |
3824
4.92 IPS |
|
|
Style Transfer (Q)
|
98% |
11409
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1326
49.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
850
31.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3290
121.8 IPS |
|
|
Text Classification (SP)
|
100% |
1072
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
507
676.3 IPS |
|
|
Text Classification (Q)
|
97% |
1088
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1165
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
400
6.89 IPS |
|
|
Machine Translation (Q)
|
65% |
2007
40.3 IPS |
