MEDION 14 S1 Elite
Geekbench AI Score
1990
Single Precision Score
16509
Half Precision Score
38055
Quantized Score
Geekbench AI 1.4.0 for Windows AArch64
Result Information
| User | Xairo |
| Upload Date | September 03 2025 08:10 PM |
| Views | 5 |
| Notes | Clean Windows 11 install plugged in |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | MEDION 14 S1 Elite |
| Motherboard | MEDION NM14QX4 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
738
137.3 IPS |
|
|
Image Classification (HP)
|
100% |
11169
2.08 KIPS |
|
|
Image Classification (Q)
|
99% |
18462
3.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
732
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8153
132.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
20631
335.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6629
7.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
71089
82.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
245016
287.2 IPS |
|
|
Object Detection (SP)
|
100% |
762
60.4 IPS |
|
|
Object Detection (HP)
|
100% |
11066
877.7 IPS |
|
|
Object Detection (Q)
|
92% |
19856
1.58 KIPS |
|
|
Face Detection (SP)
|
100% |
1480
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
24200
287.5 IPS |
|
|
Face Detection (Q)
|
97% |
57497
685.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2258
17.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
42515
327.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
103788
828.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15659
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
55063
70.8 IPS |
|
|
Style Transfer (Q)
|
98% |
256183
330.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2254
83.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30662
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
66272
2.45 KIPS |
|
|
Text Classification (SP)
|
100% |
1410
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
2666
3.56 KIPS |
|
|
Text Classification (Q)
|
95% |
4157
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2156
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4534
78.1 IPS |
|
|
Machine Translation (Q)
|
67% |
8162
158.9 IPS |
