MEDION 14 S1 Elite
Geekbench AI Score
1640
Single Precision Score
2801
Half Precision Score
5343
Quantized Score
Geekbench AI 1.5.0 for Windows AArch64
Result Information
| User | abufrejoval |
| Upload Date | September 21 2025 04:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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% |
688
128.0 IPS |
|
|
Image Classification (HP)
|
100% |
2578
479.3 IPS |
|
|
Image Classification (Q)
|
99% |
4069
759.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
784
12.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3296
53.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7835
127.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6429
7.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
9212
10.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
16651
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
410
32.6 IPS |
|
|
Object Detection (HP)
|
99% |
1331
105.9 IPS |
|
|
Object Detection (Q)
|
86% |
2820
226.7 IPS |
|
|
Face Detection (SP)
|
100% |
1077
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
4156
49.4 IPS |
|
|
Face Detection (Q)
|
97% |
6473
77.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1978
15.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3500
27.1 IPS |
|
|
Depth Estimation (Q)
|
79% |
13124
104.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16020
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11875
15.3 IPS |
|
|
Style Transfer (Q)
|
98% |
35896
46.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2303
85.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1416
52.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2369
87.7 IPS |
|
|
Text Classification (SP)
|
100% |
847
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
508
678.3 IPS |
|
|
Text Classification (Q)
|
97% |
729
976.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1493
25.7 IPS |
|
|
Machine Translation (HP)
|
99% |
2302
39.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2407
48.4 IPS |
