MEDION H81H3-EM2
Geekbench AI Score
1441
Single Precision Score
733
Half Precision Score
1367
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 07 2025 09:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4570 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MEDION H81H3-EM2 |
| Motherboard | MEDION H81H3-EM2 |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4570 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1120
208.2 IPS |
|
|
Image Classification (HP)
|
100% |
289
53.7 IPS |
|
|
Image Classification (Q)
|
96% |
1187
221.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
577
9.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
404
6.55 IPS |
|
|
Image Segmentation (Q)
|
97% |
812
13.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2480
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2028
2.37 IPS |
|
|
Pose Estimation (Q)
|
86% |
2693
3.18 IPS |
|
|
Object Detection (SP)
|
100% |
1033
82.0 IPS |
|
|
Object Detection (HP)
|
100% |
360
28.6 IPS |
|
|
Object Detection (Q)
|
58% |
778
85.0 IPS |
|
|
Face Detection (SP)
|
100% |
1769
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
725
8.62 IPS |
|
|
Face Detection (Q)
|
96% |
2574
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2946
22.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1059
8.16 IPS |
|
|
Depth Estimation (Q)
|
78% |
2869
22.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5488
7.06 IPS |
|
|
Style Transfer (HP)
|
100% |
4550
5.85 IPS |
|
|
Style Transfer (Q)
|
87% |
5285
6.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1063
39.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
940
34.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1025
38.0 IPS |
|
|
Text Classification (SP)
|
100% |
834
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
437
583.4 IPS |
|
|
Text Classification (Q)
|
97% |
292
391.7 IPS |
|
|
Machine Translation (SP)
|
100% |
926
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
369
6.35 IPS |
|
|
Machine Translation (Q)
|
68% |
966
18.7 IPS |
