Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
618
Single Precision Score
651
Half Precision Score
637
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | February 12 2026 05:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 3 3200G with Radeon Vega Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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% |
333
62.0 IPS |
|
|
Image Classification (HP)
|
100% |
364
67.7 IPS |
|
|
Image Classification (Q)
|
100% |
332
61.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.20 IPS |
|
|
Image Segmentation (Q)
|
99% |
439
7.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
766
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
760
0.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
769
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
318
25.3 IPS |
|
|
Object Detection (HP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
87% |
410
32.8 IPS |
|
|
Face Detection (SP)
|
100% |
1070
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
1057
12.6 IPS |
|
|
Face Detection (Q)
|
97% |
1268
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
918
7.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
934
7.20 IPS |
|
|
Depth Estimation (Q)
|
81% |
1006
7.94 IPS |
|
|
Style Transfer (SP)
|
100% |
2269
2.92 IPS |
|
|
Style Transfer (HP)
|
100% |
2294
2.95 IPS |
|
|
Style Transfer (Q)
|
98% |
2333
3.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
415
15.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
424
15.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
417
15.4 IPS |
|
|
Text Classification (SP)
|
100% |
333
444.6 IPS |
|
|
Text Classification (HP)
|
100% |
522
696.5 IPS |
|
|
Text Classification (Q)
|
91% |
264
355.2 IPS |
|
|
Machine Translation (SP)
|
100% |
820
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
813
14.0 IPS |
|
|
Machine Translation (Q)
|
100% |
734
12.6 IPS |
