Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
2310
Single Precision Score
3073
Half Precision Score
1769
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | April 21 2026 03:55 PM |
| Views | 3 |
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% |
954
177.5 IPS |
|
|
Image Classification (HP)
|
100% |
1221
227.1 IPS |
|
|
Image Classification (Q)
|
100% |
887
165.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1035
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1217
19.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
885
14.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8410
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
15179
17.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
7089
8.30 IPS |
|
|
Object Detection (SP)
|
100% |
1065
84.5 IPS |
|
|
Object Detection (HP)
|
100% |
1278
101.4 IPS |
|
|
Object Detection (Q)
|
88% |
951
76.2 IPS |
|
|
Face Detection (SP)
|
100% |
2357
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
3288
39.1 IPS |
|
|
Face Detection (Q)
|
97% |
1943
23.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5459
42.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7912
61.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
4290
34.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14489
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24080
31.0 IPS |
|
|
Style Transfer (Q)
|
98% |
11788
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3128
115.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4764
175.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2180
80.7 IPS |
|
|
Text Classification (SP)
|
100% |
692
924.0 IPS |
|
|
Text Classification (HP)
|
100% |
710
947.1 IPS |
|
|
Text Classification (Q)
|
97% |
482
645.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1217
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1232
21.2 IPS |
|
|
Machine Translation (Q)
|
70% |
550
10.3 IPS |
