Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
385
Single Precision Score
258
Half Precision Score
422
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | March 20 2026 04:32 AM |
| Views | 7 |
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% |
216
40.1 IPS |
|
|
Image Classification (HP)
|
100% |
115
21.4 IPS |
|
|
Image Classification (Q)
|
96% |
219
40.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
195
3.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
150
2.44 IPS |
|
|
Image Segmentation (Q)
|
97% |
338
5.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
681
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
607
0.71 IPS |
|
|
Pose Estimation (Q)
|
86% |
757
0.89 IPS |
|
|
Object Detection (SP)
|
100% |
201
16.0 IPS |
|
|
Object Detection (HP)
|
100% |
120
9.55 IPS |
|
|
Object Detection (Q)
|
58% |
164
18.0 IPS |
|
|
Face Detection (SP)
|
100% |
631
7.50 IPS |
|
|
Face Detection (HP)
|
100% |
280
3.33 IPS |
|
|
Face Detection (Q)
|
96% |
675
8.05 IPS |
|
|
Depth Estimation (SP)
|
100% |
557
4.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
353
2.72 IPS |
|
|
Depth Estimation (Q)
|
78% |
620
4.94 IPS |
|
|
Style Transfer (SP)
|
100% |
1707
2.19 IPS |
|
|
Style Transfer (HP)
|
100% |
1522
1.96 IPS |
|
|
Style Transfer (Q)
|
87% |
1779
2.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
263
9.70 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
228
8.41 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
316
11.7 IPS |
|
|
Text Classification (SP)
|
100% |
216
287.9 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.2 IPS |
|
|
Text Classification (Q)
|
97% |
211
283.3 IPS |
|
|
Machine Translation (SP)
|
100% |
372
6.40 IPS |
|
|
Machine Translation (HP)
|
100% |
190
3.28 IPS |
|
|
Machine Translation (Q)
|
68% |
396
7.66 IPS |
