MSI MS-7681
Geekbench AI Score
780
Single Precision Score
408
Half Precision Score
631
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | HPM |
| Upload Date | August 27 2025 12:59 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-2500K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MSI MS-7681 |
| Motherboard | MSI P67A-GD65 (MS-7681) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-2500K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
577
107.3 IPS |
|
|
Image Classification (HP)
|
100% |
165
30.7 IPS |
|
|
Image Classification (Q)
|
96% |
480
89.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
359
5.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (Q)
|
97% |
461
7.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
1056
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
826
0.96 IPS |
|
|
Pose Estimation (Q)
|
86% |
971
1.15 IPS |
|
|
Object Detection (SP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (HP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (Q)
|
58% |
348
38.0 IPS |
|
|
Face Detection (SP)
|
100% |
1225
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
479
5.69 IPS |
|
|
Face Detection (Q)
|
96% |
857
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1396
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
610
4.70 IPS |
|
|
Depth Estimation (Q)
|
78% |
1093
8.70 IPS |
|
|
Style Transfer (SP)
|
100% |
2566
3.30 IPS |
|
|
Style Transfer (HP)
|
100% |
2116
2.72 IPS |
|
|
Style Transfer (Q)
|
87% |
2050
2.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
527
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
448
16.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
562
20.8 IPS |
|
|
Text Classification (SP)
|
100% |
555
741.2 IPS |
|
|
Text Classification (HP)
|
100% |
250
333.9 IPS |
|
|
Text Classification (Q)
|
97% |
219
293.9 IPS |
|
|
Machine Translation (SP)
|
100% |
595
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
253
4.36 IPS |
|
|
Machine Translation (Q)
|
68% |
574
11.1 IPS |
