Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
376
Single Precision Score
246
Half Precision Score
400
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | April 21 2026 03:51 PM |
| Views | 3 |
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% |
236
44.0 IPS |
|
|
Image Classification (HP)
|
100% |
104
19.3 IPS |
|
|
Image Classification (Q)
|
96% |
256
47.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
194
3.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
163
2.64 IPS |
|
|
Image Segmentation (Q)
|
97% |
379
6.17 IPS |
|
|
Pose Estimation (SP)
|
100% |
703
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
591
0.69 IPS |
|
|
Pose Estimation (Q)
|
86% |
746
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
214
17.0 IPS |
|
|
Object Detection (HP)
|
100% |
116
9.22 IPS |
|
|
Object Detection (Q)
|
58% |
165
18.0 IPS |
|
|
Face Detection (SP)
|
100% |
603
7.17 IPS |
|
|
Face Detection (HP)
|
100% |
269
3.19 IPS |
|
|
Face Detection (Q)
|
96% |
682
8.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
486
3.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
310
2.39 IPS |
|
|
Depth Estimation (Q)
|
78% |
501
4.00 IPS |
|
|
Style Transfer (SP)
|
100% |
1495
1.92 IPS |
|
|
Style Transfer (HP)
|
100% |
1335
1.72 IPS |
|
|
Style Transfer (Q)
|
87% |
1535
2.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
224
8.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
206
7.59 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
263
9.74 IPS |
|
|
Text Classification (SP)
|
100% |
241
321.9 IPS |
|
|
Text Classification (HP)
|
100% |
164
218.4 IPS |
|
|
Text Classification (Q)
|
97% |
183
245.1 IPS |
|
|
Machine Translation (SP)
|
100% |
353
6.09 IPS |
|
|
Machine Translation (HP)
|
100% |
187
3.23 IPS |
|
|
Machine Translation (Q)
|
68% |
350
6.77 IPS |
