MEDION MS-7728
Geekbench AI Score
837
Single Precision Score
461
Half Precision Score
714
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | 44rtie |
| Upload Date | February 02 2025 06:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-2380P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MEDION MS-7728 |
| Motherboard | MEDION MS-7728 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-2380P |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
651
121.0 IPS |
|
|
Image Classification (HP)
|
100% |
202
37.5 IPS |
|
|
Image Classification (Q)
|
96% |
583
108.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
287
4.65 IPS |
|
|
Image Segmentation (Q)
|
97% |
458
7.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
1295
1.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
1002
1.17 IPS |
|
|
Pose Estimation (Q)
|
86% |
1124
1.33 IPS |
|
|
Object Detection (SP)
|
100% |
617
48.9 IPS |
|
|
Object Detection (HP)
|
100% |
240
19.1 IPS |
|
|
Object Detection (Q)
|
58% |
401
43.8 IPS |
|
|
Face Detection (SP)
|
100% |
931
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
564
6.70 IPS |
|
|
Face Detection (Q)
|
96% |
1223
14.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1620
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
712
5.49 IPS |
|
|
Depth Estimation (Q)
|
78% |
1266
10.1 IPS |
|
|
Style Transfer (SP)
|
100% |
3052
3.92 IPS |
|
|
Style Transfer (HP)
|
100% |
2512
3.23 IPS |
|
|
Style Transfer (Q)
|
87% |
2212
2.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
511
18.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
442
16.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
530
19.6 IPS |
|
|
Text Classification (SP)
|
100% |
495
660.1 IPS |
|
|
Text Classification (HP)
|
100% |
262
350.2 IPS |
|
|
Text Classification (Q)
|
97% |
236
315.7 IPS |
|
|
Machine Translation (SP)
|
100% |
700
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.66 IPS |
|
|
Machine Translation (Q)
|
68% |
670
12.9 IPS |
