Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
666
Single Precision Score
694
Half Precision Score
654
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | March 20 2026 05:04 AM |
| 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% |
444
82.6 IPS |
|
|
Image Classification (HP)
|
100% |
394
73.4 IPS |
|
|
Image Classification (Q)
|
100% |
372
69.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
401
6.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
454
7.35 IPS |
|
|
Image Segmentation (Q)
|
99% |
524
8.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
851
0.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
827
0.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
842
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
373
29.6 IPS |
|
|
Object Detection (HP)
|
100% |
432
34.3 IPS |
|
|
Object Detection (Q)
|
87% |
383
30.7 IPS |
|
|
Face Detection (SP)
|
100% |
888
10.6 IPS |
|
|
Face Detection (HP)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
1161
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1045
8.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
1076
8.29 IPS |
|
|
Depth Estimation (Q)
|
81% |
963
7.59 IPS |
|
|
Style Transfer (SP)
|
100% |
2210
2.84 IPS |
|
|
Style Transfer (HP)
|
100% |
2367
3.04 IPS |
|
|
Style Transfer (Q)
|
98% |
2307
2.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
431
15.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
457
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
498
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
423
565.2 IPS |
|
|
Text Classification (HP)
|
100% |
444
592.8 IPS |
|
|
Text Classification (Q)
|
91% |
222
298.0 IPS |
|
|
Machine Translation (SP)
|
100% |
817
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
763
13.1 IPS |
|
|
Machine Translation (Q)
|
100% |
802
13.8 IPS |
