Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
393
Single Precision Score
258
Half Precision Score
431
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | March 17 2026 05:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 3200G |
| 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% |
200
37.1 IPS |
|
|
Image Classification (HP)
|
100% |
102
19.0 IPS |
|
|
Image Classification (Q)
|
96% |
244
45.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
206
3.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
160
2.60 IPS |
|
|
Image Segmentation (Q)
|
97% |
324
5.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
709
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
599
0.70 IPS |
|
|
Pose Estimation (Q)
|
86% |
753
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (HP)
|
100% |
119
9.42 IPS |
|
|
Object Detection (Q)
|
58% |
179
19.5 IPS |
|
|
Face Detection (SP)
|
100% |
660
7.85 IPS |
|
|
Face Detection (HP)
|
100% |
282
3.35 IPS |
|
|
Face Detection (Q)
|
96% |
674
8.04 IPS |
|
|
Depth Estimation (SP)
|
100% |
600
4.62 IPS |
|
|
Depth Estimation (HP)
|
99% |
350
2.70 IPS |
|
|
Depth Estimation (Q)
|
78% |
611
4.88 IPS |
|
|
Style Transfer (SP)
|
100% |
1727
2.22 IPS |
|
|
Style Transfer (HP)
|
100% |
1527
1.96 IPS |
|
|
Style Transfer (Q)
|
87% |
1768
2.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
246
9.08 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
239
8.82 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
311
11.5 IPS |
|
|
Text Classification (SP)
|
100% |
243
324.5 IPS |
|
|
Text Classification (HP)
|
100% |
158
211.3 IPS |
|
|
Text Classification (Q)
|
97% |
250
334.7 IPS |
|
|
Machine Translation (SP)
|
100% |
353
6.08 IPS |
|
|
Machine Translation (HP)
|
100% |
204
3.52 IPS |
|
|
Machine Translation (Q)
|
68% |
369
7.13 IPS |
