Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
682
Single Precision Score
684
Half Precision Score
666
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | March 08 2026 04:46 PM |
| Views | 7 |
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% |
354
65.8 IPS |
|
|
Image Classification (HP)
|
100% |
432
80.3 IPS |
|
|
Image Classification (Q)
|
100% |
412
76.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
497
8.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
438
7.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
526
8.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
840
0.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
820
0.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
790
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
366
29.1 IPS |
|
|
Object Detection (HP)
|
100% |
391
31.0 IPS |
|
|
Object Detection (Q)
|
87% |
409
32.8 IPS |
|
|
Face Detection (SP)
|
100% |
926
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
944
11.2 IPS |
|
|
Face Detection (Q)
|
97% |
1233
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1012
7.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
1091
8.41 IPS |
|
|
Depth Estimation (Q)
|
81% |
1023
8.07 IPS |
|
|
Style Transfer (SP)
|
100% |
2336
3.00 IPS |
|
|
Style Transfer (HP)
|
100% |
2317
2.98 IPS |
|
|
Style Transfer (Q)
|
98% |
2280
2.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
455
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
445
16.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
482
17.8 IPS |
|
|
Text Classification (SP)
|
100% |
508
678.2 IPS |
|
|
Text Classification (HP)
|
100% |
455
607.3 IPS |
|
|
Text Classification (Q)
|
91% |
234
314.7 IPS |
|
|
Machine Translation (SP)
|
100% |
804
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
766
13.2 IPS |
|
|
Machine Translation (Q)
|
100% |
767
13.2 IPS |
