MEDION H81H3-EM2
Geekbench AI Score
1153
Single Precision Score
633
Half Precision Score
1324
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 18 2025 06:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4790 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | MEDION H81H3-EM2 |
| Motherboard | MEDION H81H3-EM2 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4790 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
773
143.8 IPS |
|
|
Image Classification (HP)
|
100% |
244
45.4 IPS |
|
|
Image Classification (Q)
|
96% |
1030
192.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
495
8.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
341
5.53 IPS |
|
|
Image Segmentation (Q)
|
97% |
980
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1706
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
1751
2.04 IPS |
|
|
Pose Estimation (Q)
|
86% |
2443
2.89 IPS |
|
|
Object Detection (SP)
|
100% |
946
75.1 IPS |
|
|
Object Detection (HP)
|
100% |
345
27.4 IPS |
|
|
Object Detection (Q)
|
58% |
824
90.0 IPS |
|
|
Face Detection (SP)
|
100% |
1547
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
643
7.64 IPS |
|
|
Face Detection (Q)
|
96% |
2412
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2187
16.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
865
6.66 IPS |
|
|
Depth Estimation (Q)
|
78% |
2465
19.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4236
5.45 IPS |
|
|
Style Transfer (HP)
|
100% |
3265
4.20 IPS |
|
|
Style Transfer (Q)
|
87% |
4308
5.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
774
28.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
725
26.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1184
43.9 IPS |
|
|
Text Classification (SP)
|
100% |
783
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
432
577.3 IPS |
|
|
Text Classification (Q)
|
97% |
270
361.7 IPS |
|
|
Machine Translation (SP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
366
6.30 IPS |
|
|
Machine Translation (Q)
|
68% |
1001
19.3 IPS |
