MSI MS-7751
Geekbench AI Score
84
Single Precision Score
84
Half Precision Score
146
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | February 12 2026 12:59 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Celeron(R) CPU G460 @ 1.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MSI MS-7751 |
| Motherboard | MSI Z77A-GD65 (MS-7751) |
| Power Plan | AMD Ryzen [Zen4] Ultimate HighPower 11-v5 |
| CPU Information | |
|---|---|
| Name | Intel Celeron G460 |
| Topology | 1 Processor, 1 Core, 2 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 1 Core |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
53
9.88 IPS |
|
|
Image Classification (HP)
|
100% |
53
9.93 IPS |
|
|
Image Classification (Q)
|
100% |
94
17.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
65
1.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
65
1.05 IPS |
|
|
Image Segmentation (Q)
|
99% |
105
1.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
85
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
85
0.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
191
0.22 IPS |
|
|
Object Detection (SP)
|
100% |
51
4.01 IPS |
|
|
Object Detection (HP)
|
100% |
50
4.01 IPS |
|
|
Object Detection (Q)
|
87% |
94
7.54 IPS |
|
|
Face Detection (SP)
|
100% |
166
1.98 IPS |
|
|
Face Detection (HP)
|
100% |
167
1.98 IPS |
|
|
Face Detection (Q)
|
97% |
259
3.09 IPS |
|
|
Depth Estimation (SP)
|
100% |
120
0.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
120
0.93 IPS |
|
|
Depth Estimation (Q)
|
81% |
240
1.89 IPS |
|
|
Style Transfer (SP)
|
100% |
201
0.26 IPS |
|
|
Style Transfer (HP)
|
100% |
201
0.26 IPS |
|
|
Style Transfer (Q)
|
98% |
572
0.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53
1.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53
1.97 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
117
4.33 IPS |
|
|
Text Classification (SP)
|
100% |
64
85.3 IPS |
|
|
Text Classification (HP)
|
100% |
64
85.7 IPS |
|
|
Text Classification (Q)
|
91% |
67
90.2 IPS |
|
|
Machine Translation (SP)
|
100% |
91
1.57 IPS |
|
|
Machine Translation (HP)
|
100% |
91
1.57 IPS |
|
|
Machine Translation (Q)
|
100% |
91
1.57 IPS |
