Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
2281
Single Precision Score
3061
Half Precision Score
1752
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | February 12 2026 05:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Vega 8 Graphics |
| 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% |
941
174.9 IPS |
|
|
Image Classification (HP)
|
100% |
1149
213.7 IPS |
|
|
Image Classification (Q)
|
100% |
897
166.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1017
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1197
19.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
873
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8412
9.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
15361
17.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
7122
8.34 IPS |
|
|
Object Detection (SP)
|
100% |
1039
82.4 IPS |
|
|
Object Detection (HP)
|
100% |
1246
98.9 IPS |
|
|
Object Detection (Q)
|
88% |
920
73.8 IPS |
|
|
Face Detection (SP)
|
100% |
2304
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
3193
37.9 IPS |
|
|
Face Detection (Q)
|
97% |
1970
23.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5336
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7809
60.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
4079
32.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14475
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24007
30.9 IPS |
|
|
Style Transfer (Q)
|
98% |
11782
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3129
115.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4766
176.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2175
80.5 IPS |
|
|
Text Classification (SP)
|
100% |
746
995.9 IPS |
|
|
Text Classification (HP)
|
100% |
732
976.6 IPS |
|
|
Text Classification (Q)
|
97% |
494
661.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1099
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1315
22.6 IPS |
|
|
Machine Translation (Q)
|
70% |
524
9.83 IPS |
