Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
681
Single Precision Score
684
Half Precision Score
665
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | March 17 2026 06:22 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% |
378
70.2 IPS |
|
|
Image Classification (HP)
|
100% |
365
67.9 IPS |
|
|
Image Classification (Q)
|
100% |
374
69.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
454
7.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
462
7.49 IPS |
|
|
Image Segmentation (Q)
|
99% |
476
7.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
846
0.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
858
1.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
849
1.00 IPS |
|
|
Object Detection (SP)
|
100% |
379
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
379
30.0 IPS |
|
|
Object Detection (Q)
|
87% |
422
33.9 IPS |
|
|
Face Detection (SP)
|
100% |
878
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
1023
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
1173
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1117
8.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
1053
8.11 IPS |
|
|
Depth Estimation (Q)
|
81% |
1081
8.52 IPS |
|
|
Style Transfer (SP)
|
100% |
2411
3.10 IPS |
|
|
Style Transfer (HP)
|
100% |
2426
3.12 IPS |
|
|
Style Transfer (Q)
|
98% |
2414
3.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
462
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
464
17.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
490
18.1 IPS |
|
|
Text Classification (SP)
|
100% |
459
612.0 IPS |
|
|
Text Classification (HP)
|
100% |
427
570.3 IPS |
|
|
Text Classification (Q)
|
91% |
211
283.1 IPS |
|
|
Machine Translation (SP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
794
13.7 IPS |
|
|
Machine Translation (Q)
|
100% |
839
14.5 IPS |
