MSI MS-7786
Geekbench AI Score
136
Single Precision Score
116
Half Precision Score
166
Quantized Score
Geekbench AI 1.6.0 for Windows x86 (64-bit)
Result Information
| User | Multiskil70 |
| Upload Date | January 14 2026 11:20 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD A4-3400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MSI MS-7786 |
| Motherboard | MSI A55M-P33 (MS-7786) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD A4-3400 |
| Topology | 1 Processor, 2 Cores |
| Identifier | AuthenticAMD Family 18 Model 1 Stepping 0 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
70
13.0 IPS |
|
|
Image Classification (HP)
|
100% |
59
10.9 IPS |
|
|
Image Classification (Q)
|
99% |
106
19.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
52
0.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
74
1.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
136
2.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
188
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
176
0.21 IPS |
|
|
Pose Estimation (Q)
|
94% |
218
0.26 IPS |
|
|
Object Detection (SP)
|
100% |
57
4.50 IPS |
|
|
Object Detection (HP)
|
100% |
65
5.19 IPS |
|
|
Object Detection (Q)
|
86% |
104
8.34 IPS |
|
|
Face Detection (SP)
|
100% |
216
2.57 IPS |
|
|
Face Detection (HP)
|
100% |
154
1.83 IPS |
|
|
Face Detection (Q)
|
97% |
301
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
230
1.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
174
1.34 IPS |
|
|
Depth Estimation (Q)
|
78% |
252
2.01 IPS |
|
|
Style Transfer (SP)
|
100% |
489
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
497
0.64 IPS |
|
|
Style Transfer (Q)
|
98% |
502
0.65 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
107
3.94 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
98
3.63 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
129
4.78 IPS |
|
|
Text Classification (SP)
|
100% |
123
163.9 IPS |
|
|
Text Classification (HP)
|
100% |
79
105.5 IPS |
|
|
Text Classification (Q)
|
97% |
82
109.3 IPS |
|
|
Machine Translation (SP)
|
100% |
175
3.02 IPS |
|
|
Machine Translation (HP)
|
100% |
91
1.56 IPS |
|
|
Machine Translation (Q)
|
65% |
124
2.49 IPS |
