Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
358
Single Precision Score
235
Half Precision Score
364
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | February 08 2026 08:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 3200G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Famille (64-bit) |
| Model | Micro-Star International Co., Ltd MS-7B86 |
| Motherboard | Micro-Star International Co., Ltd B450-A PRO MAX (MS-7B86) |
| Power Plan | conomie d'nergie |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 3200G |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
197
36.6 IPS |
|
|
Image Classification (HP)
|
100% |
95
17.6 IPS |
|
|
Image Classification (Q)
|
96% |
218
40.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
196
3.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
147
2.38 IPS |
|
|
Image Segmentation (Q)
|
97% |
284
4.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
608
0.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
493
0.58 IPS |
|
|
Pose Estimation (Q)
|
86% |
642
0.76 IPS |
|
|
Object Detection (SP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (HP)
|
100% |
113
9.00 IPS |
|
|
Object Detection (Q)
|
58% |
165
18.0 IPS |
|
|
Face Detection (SP)
|
100% |
527
6.26 IPS |
|
|
Face Detection (HP)
|
100% |
240
2.85 IPS |
|
|
Face Detection (Q)
|
96% |
585
6.98 IPS |
|
|
Depth Estimation (SP)
|
100% |
504
3.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
307
2.37 IPS |
|
|
Depth Estimation (Q)
|
78% |
555
4.43 IPS |
|
|
Style Transfer (SP)
|
100% |
1523
1.96 IPS |
|
|
Style Transfer (HP)
|
100% |
1366
1.76 IPS |
|
|
Style Transfer (Q)
|
87% |
1527
1.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
229
8.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
227
8.37 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
289
10.7 IPS |
|
|
Text Classification (SP)
|
100% |
234
312.5 IPS |
|
|
Text Classification (HP)
|
100% |
176
235.2 IPS |
|
|
Text Classification (Q)
|
97% |
127
170.5 IPS |
|
|
Machine Translation (SP)
|
100% |
349
6.01 IPS |
|
|
Machine Translation (HP)
|
100% |
171
2.94 IPS |
|
|
Machine Translation (Q)
|
68% |
345
6.67 IPS |
