Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
658
Single Precision Score
694
Half Precision Score
626
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | March 17 2026 06:04 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 3 3200G with Radeon Vega 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% |
359
66.8 IPS |
|
|
Image Classification (HP)
|
100% |
378
70.3 IPS |
|
|
Image Classification (Q)
|
100% |
408
75.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
460
7.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.19 IPS |
|
|
Image Segmentation (Q)
|
99% |
365
5.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
821
0.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
787
0.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
810
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
403
32.0 IPS |
|
|
Object Detection (HP)
|
100% |
436
34.5 IPS |
|
|
Object Detection (Q)
|
87% |
422
33.9 IPS |
|
|
Face Detection (SP)
|
100% |
955
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
1129
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
1243
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1033
7.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
958
7.38 IPS |
|
|
Depth Estimation (Q)
|
81% |
973
7.67 IPS |
|
|
Style Transfer (SP)
|
100% |
2335
3.00 IPS |
|
|
Style Transfer (HP)
|
100% |
2263
2.91 IPS |
|
|
Style Transfer (Q)
|
98% |
2367
3.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
464
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
455
16.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
422
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
332
442.9 IPS |
|
|
Text Classification (HP)
|
100% |
525
700.9 IPS |
|
|
Text Classification (Q)
|
91% |
206
277.5 IPS |
|
|
Machine Translation (SP)
|
100% |
792
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
770
13.3 IPS |
|
|
Machine Translation (Q)
|
100% |
736
12.7 IPS |
