Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
655
Single Precision Score
698
Half Precision Score
673
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | April 12 2026 05:18 PM |
| Views | 6 |
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% |
392
72.9 IPS |
|
|
Image Classification (HP)
|
100% |
379
70.6 IPS |
|
|
Image Classification (Q)
|
100% |
395
73.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
360
5.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
423
6.85 IPS |
|
|
Image Segmentation (Q)
|
99% |
469
7.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
803
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
795
0.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
809
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
410
32.5 IPS |
|
|
Object Detection (HP)
|
100% |
428
34.0 IPS |
|
|
Object Detection (Q)
|
87% |
419
33.6 IPS |
|
|
Face Detection (SP)
|
100% |
964
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
1129
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
1256
15.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1080
8.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
1115
8.59 IPS |
|
|
Depth Estimation (Q)
|
81% |
1053
8.30 IPS |
|
|
Style Transfer (SP)
|
100% |
2361
3.03 IPS |
|
|
Style Transfer (HP)
|
100% |
2351
3.02 IPS |
|
|
Style Transfer (Q)
|
98% |
2336
3.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
465
17.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
463
17.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
485
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
344
458.5 IPS |
|
|
Text Classification (HP)
|
100% |
481
641.4 IPS |
|
|
Text Classification (Q)
|
91% |
250
336.3 IPS |
|
|
Machine Translation (SP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
772
13.3 IPS |
|
|
Machine Translation (Q)
|
100% |
813
14.0 IPS |
