MSI MS-7751
Geekbench AI Score
708
Single Precision Score
709
Half Precision Score
1056
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | November 20 2025 09:59 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-3330 CPU @ 3.00GHz |
| 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 i5-3330 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
379
70.5 IPS |
|
|
Image Classification (HP)
|
100% |
379
70.6 IPS |
|
|
Image Classification (Q)
|
100% |
705
131.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
523
8.47 IPS |
|
|
Image Segmentation (HP)
|
100% |
524
8.49 IPS |
|
|
Image Segmentation (Q)
|
99% |
799
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
705
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
707
0.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
1518
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
375
29.8 IPS |
|
|
Object Detection (HP)
|
100% |
379
30.1 IPS |
|
|
Object Detection (Q)
|
87% |
711
57.0 IPS |
|
|
Face Detection (SP)
|
100% |
1004
11.9 IPS |
|
|
Face Detection (HP)
|
100% |
1002
11.9 IPS |
|
|
Face Detection (Q)
|
97% |
1953
23.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1307
10.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1303
10.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
1846
14.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1952
2.51 IPS |
|
|
Style Transfer (HP)
|
100% |
1953
2.51 IPS |
|
|
Style Transfer (Q)
|
98% |
4527
5.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
598
22.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
597
22.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
919
34.0 IPS |
|
|
Text Classification (SP)
|
100% |
730
974.1 IPS |
|
|
Text Classification (HP)
|
100% |
729
973.5 IPS |
|
|
Text Classification (Q)
|
91% |
347
466.5 IPS |
|
|
Machine Translation (SP)
|
100% |
544
9.38 IPS |
|
|
Machine Translation (HP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (Q)
|
100% |
548
9.45 IPS |
