MEDION 14 S1 Elite
Geekbench AI Score
2065
Single Precision Score
1646
Half Precision Score
5230
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | September 17 2024 12:09 PM |
| Views | 2 |
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 Home (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% |
733
136.3 IPS |
|
|
Image Classification (HP)
|
100% |
558
103.9 IPS |
|
|
Image Classification (Q)
|
99% |
4138
771.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
830
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2870
46.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2346
38.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6916
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
9632
11.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
23148
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
810
64.3 IPS |
|
|
Object Detection (HP)
|
99% |
652
51.9 IPS |
|
|
Object Detection (Q)
|
88% |
4359
349.4 IPS |
|
|
Face Detection (SP)
|
100% |
1876
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
884
10.5 IPS |
|
|
Face Detection (Q)
|
97% |
5934
70.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2679
20.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2363
18.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
8853
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15017
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9695
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
29925
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2174
80.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1059
39.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3448
127.7 IPS |
|
|
Text Classification (SP)
|
100% |
1262
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
425
567.1 IPS |
|
|
Text Classification (Q)
|
97% |
1185
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2007
34.6 IPS |
|
|
Machine Translation (HP)
|
99% |
1597
27.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2436
54.3 IPS |
