Micro-Star International Co., Ltd MS-7B86
Geekbench AI Score
391
Single Precision Score
244
Half Precision Score
422
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | March 17 2026 04:08 PM |
| Views | 6 |
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% |
213
39.7 IPS |
|
|
Image Classification (HP)
|
100% |
111
20.6 IPS |
|
|
Image Classification (Q)
|
96% |
254
47.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
162
2.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
71
1.15 IPS |
|
|
Image Segmentation (Q)
|
97% |
277
4.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
645
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
605
0.71 IPS |
|
|
Pose Estimation (Q)
|
86% |
744
0.88 IPS |
|
|
Object Detection (SP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (HP)
|
100% |
81
6.40 IPS |
|
|
Object Detection (Q)
|
58% |
148
16.2 IPS |
|
|
Face Detection (SP)
|
100% |
656
7.79 IPS |
|
|
Face Detection (HP)
|
100% |
292
3.47 IPS |
|
|
Face Detection (Q)
|
96% |
709
8.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
591
4.55 IPS |
|
|
Depth Estimation (HP)
|
99% |
343
2.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
611
4.88 IPS |
|
|
Style Transfer (SP)
|
100% |
1659
2.13 IPS |
|
|
Style Transfer (HP)
|
100% |
1480
1.90 IPS |
|
|
Style Transfer (Q)
|
87% |
1744
2.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
242
8.94 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
228
8.42 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
312
11.6 IPS |
|
|
Text Classification (SP)
|
100% |
297
396.6 IPS |
|
|
Text Classification (HP)
|
100% |
302
402.7 IPS |
|
|
Text Classification (Q)
|
97% |
243
324.9 IPS |
|
|
Machine Translation (SP)
|
100% |
418
7.20 IPS |
|
|
Machine Translation (HP)
|
100% |
195
3.36 IPS |
|
|
Machine Translation (Q)
|
68% |
407
7.87 IPS |
