Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
2261
Single Precision Score
2909
Half Precision Score
1728
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | March 23 2026 09:32 PM |
| Views | 5 |
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% |
1036
192.7 IPS |
|
|
Image Classification (HP)
|
100% |
1224
227.5 IPS |
|
|
Image Classification (Q)
|
100% |
881
163.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1252
20.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
894
14.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8399
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
15243
17.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
7085
8.30 IPS |
|
|
Object Detection (SP)
|
100% |
1028
81.5 IPS |
|
|
Object Detection (HP)
|
100% |
1213
96.2 IPS |
|
|
Object Detection (Q)
|
88% |
909
72.9 IPS |
|
|
Face Detection (SP)
|
100% |
2242
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (Q)
|
97% |
1922
22.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5412
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7656
59.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
4206
33.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14465
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23476
30.2 IPS |
|
|
Style Transfer (Q)
|
98% |
11648
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3162
116.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4398
162.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2167
80.2 IPS |
|
|
Text Classification (SP)
|
100% |
561
749.4 IPS |
|
|
Text Classification (HP)
|
100% |
632
843.1 IPS |
|
|
Text Classification (Q)
|
97% |
434
581.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1204
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (Q)
|
70% |
529
9.93 IPS |
