Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
2368
Single Precision Score
3087
Half Precision Score
1776
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | March 17 2026 05:43 AM |
| Views | 8 |
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% |
1024
190.5 IPS |
|
|
Image Classification (HP)
|
100% |
1244
231.4 IPS |
|
|
Image Classification (Q)
|
100% |
894
166.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1035
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1210
19.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
895
14.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8409
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
15333
17.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
7053
8.26 IPS |
|
|
Object Detection (SP)
|
100% |
1093
86.7 IPS |
|
|
Object Detection (HP)
|
100% |
1289
102.3 IPS |
|
|
Object Detection (Q)
|
88% |
968
77.6 IPS |
|
|
Face Detection (SP)
|
100% |
2378
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
3295
39.2 IPS |
|
|
Face Detection (Q)
|
97% |
2029
24.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5478
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7911
61.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
4262
34.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14439
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23949
30.8 IPS |
|
|
Style Transfer (Q)
|
98% |
11848
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3326
122.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4790
176.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2174
80.5 IPS |
|
|
Text Classification (SP)
|
100% |
691
922.4 IPS |
|
|
Text Classification (HP)
|
100% |
657
876.9 IPS |
|
|
Text Classification (Q)
|
97% |
458
613.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1318
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1346
23.2 IPS |
|
|
Machine Translation (Q)
|
70% |
561
10.5 IPS |
