Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
377
Single Precision Score
243
Half Precision Score
379
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | March 08 2026 04:13 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 3200G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 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% |
201
37.4 IPS |
|
|
Image Classification (HP)
|
100% |
98
18.1 IPS |
|
|
Image Classification (Q)
|
96% |
198
36.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
165
2.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
120
1.95 IPS |
|
|
Image Segmentation (Q)
|
97% |
274
4.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
664
0.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
591
0.69 IPS |
|
|
Pose Estimation (Q)
|
86% |
745
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
210
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.71 IPS |
|
|
Object Detection (Q)
|
58% |
159
17.4 IPS |
|
|
Face Detection (SP)
|
100% |
654
7.77 IPS |
|
|
Face Detection (HP)
|
100% |
287
3.41 IPS |
|
|
Face Detection (Q)
|
96% |
649
7.74 IPS |
|
|
Depth Estimation (SP)
|
100% |
587
4.52 IPS |
|
|
Depth Estimation (HP)
|
99% |
349
2.69 IPS |
|
|
Depth Estimation (Q)
|
78% |
633
5.05 IPS |
|
|
Style Transfer (SP)
|
100% |
1585
2.04 IPS |
|
|
Style Transfer (HP)
|
100% |
1401
1.80 IPS |
|
|
Style Transfer (Q)
|
87% |
1725
2.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
260
9.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
233
8.60 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
315
11.7 IPS |
|
|
Text Classification (SP)
|
100% |
229
305.3 IPS |
|
|
Text Classification (HP)
|
100% |
154
205.8 IPS |
|
|
Text Classification (Q)
|
97% |
126
168.2 IPS |
|
|
Machine Translation (SP)
|
100% |
353
6.09 IPS |
|
|
Machine Translation (HP)
|
100% |
193
3.32 IPS |
|
|
Machine Translation (Q)
|
68% |
343
6.62 IPS |
