MEDION E16423
Geekbench AI Score
1321
Single Precision Score
653
Half Precision Score
2892
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | MadZib |
| Upload Date | April 09 2025 09:38 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1195G7 |
| 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% |
1066
198.2 IPS |
|
|
Image Classification (HP)
|
100% |
307
57.1 IPS |
|
|
Image Classification (Q)
|
99% |
2581
481.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
679
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
432
7.00 IPS |
|
|
Image Segmentation (Q)
|
98% |
1474
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1655
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1173
1.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
6121
7.18 IPS |
|
|
Object Detection (SP)
|
100% |
843
66.8 IPS |
|
|
Object Detection (HP)
|
100% |
349
27.6 IPS |
|
|
Object Detection (Q)
|
86% |
2526
203.0 IPS |
|
|
Face Detection (SP)
|
100% |
2427
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
792
9.41 IPS |
|
|
Face Detection (Q)
|
97% |
4203
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2168
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
871
6.71 IPS |
|
|
Depth Estimation (Q)
|
78% |
5818
46.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3957
5.09 IPS |
|
|
Style Transfer (HP)
|
100% |
3164
4.07 IPS |
|
|
Style Transfer (Q)
|
98% |
9746
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
827
30.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
712
26.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1811
67.1 IPS |
|
|
Text Classification (SP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
445
593.9 IPS |
|
|
Text Classification (Q)
|
97% |
959
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1089
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
377
6.49 IPS |
|
|
Machine Translation (Q)
|
65% |
1681
33.8 IPS |
