MEDION 14 S1 Elite
Geekbench AI Score
2178
Single Precision Score
3240
Half Precision Score
1825
Quantized Score
Geekbench AI 1.0.0 for Windows x86 (64-bit)
Result Information
| Upload Date | August 16 2024 06:09 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Qualcomm(R) Adreno(TM) X1-85 GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MEDION 14 S1 Elite |
| Motherboard | MEDION NM14QX4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Virtual CPU @ 3.41GHz |
| Topology | 1 Processor, 12 Cores |
| Identifier | AuthenticAMD Family 21 Model 0 Stepping 1 |
| 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% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
2202
409.4 IPS |
|
|
Image Classification (Q)
|
100% |
1118
207.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1568
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2661
43.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1382
22.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8931
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
25227
29.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
7719
9.04 IPS |
|
|
Object Detection (SP)
|
100% |
660
52.4 IPS |
|
|
Object Detection (HP)
|
99% |
1553
123.1 IPS |
|
|
Object Detection (Q)
|
90% |
999
79.8 IPS |
|
|
Face Detection (SP)
|
100% |
2552
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
5354
63.6 IPS |
|
|
Face Detection (Q)
|
97% |
2076
24.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5002
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11169
86.3 IPS |
|
|
Depth Estimation (Q)
|
71% |
3876
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12048
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
2837
3.65 IPS |
|
|
Style Transfer (Q)
|
98% |
10068
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4046
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8448
312.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3084
114.2 IPS |
|
|
Text Classification (SP)
|
100% |
292
390.3 IPS |
|
|
Text Classification (HP)
|
100% |
350
467.6 IPS |
|
|
Text Classification (Q)
|
97% |
274
366.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1108
19.1 IPS |
|
|
Machine Translation (Q)
|
58% |
505
11.9 IPS |
