Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
690
Single Precision Score
671
Half Precision Score
646
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | April 21 2026 04:04 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 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% |
415
77.1 IPS |
|
|
Image Classification (HP)
|
100% |
413
76.8 IPS |
|
|
Image Classification (Q)
|
100% |
371
69.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
395
6.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
456
7.39 IPS |
|
|
Image Segmentation (Q)
|
99% |
400
6.51 IPS |
|
|
Pose Estimation (SP)
|
100% |
835
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
827
0.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
840
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
432
34.3 IPS |
|
|
Object Detection (HP)
|
100% |
435
34.5 IPS |
|
|
Object Detection (Q)
|
87% |
425
34.1 IPS |
|
|
Face Detection (SP)
|
100% |
1021
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
935
11.1 IPS |
|
|
Face Detection (Q)
|
97% |
1272
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1022
7.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
998
7.69 IPS |
|
|
Depth Estimation (Q)
|
81% |
963
7.59 IPS |
|
|
Style Transfer (SP)
|
100% |
2304
2.96 IPS |
|
|
Style Transfer (HP)
|
100% |
2366
3.04 IPS |
|
|
Style Transfer (Q)
|
98% |
2415
3.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
496
18.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
485
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
425
566.7 IPS |
|
|
Text Classification (HP)
|
100% |
379
505.3 IPS |
|
|
Text Classification (Q)
|
91% |
230
308.6 IPS |
|
|
Machine Translation (SP)
|
100% |
817
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (Q)
|
100% |
735
12.7 IPS |
