MEDION E16423
Geekbench AI Score
1912
Single Precision Score
1872
Half Precision Score
5022
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | MadZib |
| Upload Date | April 09 2025 09:53 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-1195G7 @ 2.90GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MEDION E16423 |
| Motherboard | MEDION XU160T-PF |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1195G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 2 |
| Base Frequency | 2.92 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1284
238.7 IPS |
|
|
Image Classification (HP)
|
100% |
1290
239.8 IPS |
|
|
Image Classification (Q)
|
100% |
3654
679.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1480
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3742
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2047
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1613
1.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
6615
7.75 IPS |
|
|
Object Detection (SP)
|
100% |
1101
87.3 IPS |
|
|
Object Detection (HP)
|
100% |
1074
85.2 IPS |
|
|
Object Detection (Q)
|
88% |
3288
263.6 IPS |
|
|
Face Detection (SP)
|
100% |
3157
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
3135
37.2 IPS |
|
|
Face Detection (Q)
|
100% |
7942
94.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2634
20.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2721
21.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
8350
64.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5323
6.84 IPS |
|
|
Style Transfer (HP)
|
100% |
5438
6.99 IPS |
|
|
Style Transfer (Q)
|
98% |
19966
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1187
43.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1195
44.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4320
160.0 IPS |
|
|
Text Classification (SP)
|
100% |
1347
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
1367
1.82 KIPS |
|
|
Text Classification (Q)
|
92% |
2856
3.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2159
37.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2164
37.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2104
36.2 IPS |
