MSI MS-7751
Geekbench AI Score
949
Single Precision Score
536
Half Precision Score
808
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | September 20 2025 11:16 PM |
| Views | 3 |
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-7751 |
| Motherboard | MSI Z77A-GD65 (MS-7751) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-2500K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
724
134.6 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (Q)
|
96% |
685
127.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
409
6.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
319
5.17 IPS |
|
|
Image Segmentation (Q)
|
97% |
530
8.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
1557
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1080
1.26 IPS |
|
|
Pose Estimation (Q)
|
86% |
1244
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
648
51.4 IPS |
|
|
Object Detection (HP)
|
100% |
277
22.0 IPS |
|
|
Object Detection (Q)
|
58% |
489
53.4 IPS |
|
|
Face Detection (SP)
|
100% |
1051
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
547
6.49 IPS |
|
|
Face Detection (Q)
|
96% |
1120
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1820
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
836
6.44 IPS |
|
|
Depth Estimation (Q)
|
78% |
1412
11.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3202
4.12 IPS |
|
|
Style Transfer (HP)
|
100% |
2853
3.67 IPS |
|
|
Style Transfer (Q)
|
87% |
2248
2.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
681
25.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
625
23.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
707
26.2 IPS |
|
|
Text Classification (SP)
|
100% |
703
938.6 IPS |
|
|
Text Classification (HP)
|
100% |
348
464.4 IPS |
|
|
Text Classification (Q)
|
97% |
311
416.2 IPS |
|
|
Machine Translation (SP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
302
5.21 IPS |
|
|
Machine Translation (Q)
|
68% |
692
13.4 IPS |
