Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
2283
Single Precision Score
3044
Half Precision Score
1755
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | March 17 2026 05:15 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Vega 8 Graphics |
| 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% |
862
160.3 IPS |
|
|
Image Classification (HP)
|
100% |
1251
232.7 IPS |
|
|
Image Classification (Q)
|
100% |
905
168.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1047
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1245
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
883
14.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8403
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
15390
18.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
7029
8.23 IPS |
|
|
Object Detection (SP)
|
100% |
1069
84.8 IPS |
|
|
Object Detection (HP)
|
100% |
1288
102.1 IPS |
|
|
Object Detection (Q)
|
88% |
917
73.5 IPS |
|
|
Face Detection (SP)
|
100% |
2314
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
3382
40.2 IPS |
|
|
Face Detection (Q)
|
97% |
2016
24.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5471
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7827
60.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
4273
34.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14463
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24055
30.9 IPS |
|
|
Style Transfer (Q)
|
98% |
11686
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3241
119.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4649
171.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2206
81.7 IPS |
|
|
Text Classification (SP)
|
100% |
646
862.1 IPS |
|
|
Text Classification (HP)
|
100% |
638
852.2 IPS |
|
|
Text Classification (Q)
|
97% |
436
584.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1172
20.2 IPS |
|
|
Machine Translation (Q)
|
70% |
557
10.4 IPS |
