MSI MS-7751
Geekbench AI Score
92
Single Precision Score
91
Half Precision Score
158
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | November 21 2025 11:44 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Celeron(R) CPU G465 @ 1.90GHz |
| 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 Celeron G465 |
| Topology | 1 Processor, 1 Core, 2 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 1 Core |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
58
10.8 IPS |
|
|
Image Classification (HP)
|
100% |
58
10.8 IPS |
|
|
Image Classification (Q)
|
100% |
102
19.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
70
1.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
70
1.14 IPS |
|
|
Image Segmentation (Q)
|
99% |
111
1.81 IPS |
|
|
Pose Estimation (SP)
|
100% |
92
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
92
0.11 IPS |
|
|
Pose Estimation (Q)
|
94% |
208
0.24 IPS |
|
|
Object Detection (SP)
|
100% |
55
4.37 IPS |
|
|
Object Detection (HP)
|
100% |
55
4.36 IPS |
|
|
Object Detection (Q)
|
87% |
102
8.18 IPS |
|
|
Face Detection (SP)
|
100% |
181
2.15 IPS |
|
|
Face Detection (HP)
|
100% |
182
2.16 IPS |
|
|
Face Detection (Q)
|
97% |
282
3.36 IPS |
|
|
Depth Estimation (SP)
|
100% |
131
1.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
131
1.01 IPS |
|
|
Depth Estimation (Q)
|
81% |
262
2.07 IPS |
|
|
Style Transfer (SP)
|
100% |
242
0.31 IPS |
|
|
Style Transfer (HP)
|
100% |
218
0.28 IPS |
|
|
Style Transfer (Q)
|
98% |
622
0.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58
2.14 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58
2.14 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
127
4.70 IPS |
|
|
Text Classification (SP)
|
100% |
70
93.2 IPS |
|
|
Text Classification (HP)
|
100% |
70
93.1 IPS |
|
|
Text Classification (Q)
|
91% |
72
96.2 IPS |
|
|
Machine Translation (SP)
|
100% |
98
1.70 IPS |
|
|
Machine Translation (HP)
|
100% |
98
1.69 IPS |
|
|
Machine Translation (Q)
|
100% |
98
1.69 IPS |
