MEDION E15443
Geekbench AI Score
1827
Single Precision Score
469
Half Precision Score
2678
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 04:31 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | MEDION E15443 |
| Motherboard | MEDION NP1xMTL |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1069
198.8 IPS |
|
|
Image Classification (HP)
|
100% |
87
16.1 IPS |
|
|
Image Classification (Q)
|
99% |
2032
379.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
832
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
149
2.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
1859
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3634
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2780
3.24 IPS |
|
|
Pose Estimation (Q)
|
95% |
13186
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1243
98.6 IPS |
|
|
Object Detection (HP)
|
100% |
128
10.1 IPS |
|
|
Object Detection (Q)
|
88% |
1112
89.2 IPS |
|
|
Face Detection (SP)
|
100% |
2219
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
181
2.16 IPS |
|
|
Face Detection (Q)
|
97% |
2310
27.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3979
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
577
4.44 IPS |
|
|
Depth Estimation (Q)
|
76% |
4877
39.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8670
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
6673
8.58 IPS |
|
|
Style Transfer (Q)
|
98% |
11134
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1543
57.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1156
42.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2063
76.4 IPS |
|
|
Text Classification (SP)
|
100% |
838
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
369
492.5 IPS |
|
|
Text Classification (Q)
|
97% |
918
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
381
6.56 IPS |
|
|
Machine Translation (Q)
|
60% |
1442
32.2 IPS |
