Micro-Star International Co., Ltd MS-7B86
Geekbench ML Score
390
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | April 21 2026 04:13 PM |
| Views | 2 |
System Information
| 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 |
| L1 Instruction Cache | 64.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 512 KB x 4 |
| L3 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
164
30.6 IPS |
|
|
Image Classification (F16)
|
100% |
164
30.6 IPS |
|
|
Image Classification (I8)
|
97% |
258
48.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
208
3.48 IPS |
|
|
Image Segmentation (F16)
|
100% |
221
3.69 IPS |
|
|
Image Segmentation (I8)
|
97% |
317
5.29 IPS |
|
|
Pose Estimation (F32)
|
100% |
658
0.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
650
0.79 IPS |
|
|
Pose Estimation (I8)
|
100% |
779
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
215
16.1 IPS |
|
|
Object Detection (F16)
|
100% |
215
16.0 IPS |
|
|
Object Detection (I8)
|
60% |
212
15.8 IPS |
|
|
Face Detection (F32)
|
100% |
514
6.12 IPS |
|
|
Face Detection (F16)
|
100% |
468
5.56 IPS |
|
|
Face Detection (I8)
|
87% |
559
6.64 IPS |
|
|
Depth Estimation (F32)
|
100% |
588
4.56 IPS |
|
|
Depth Estimation (F16)
|
100% |
641
4.97 IPS |
|
|
Depth Estimation (I8)
|
74% |
748
5.80 IPS |
|
|
Style Transfer (F32)
|
100% |
1643
2.16 IPS |
|
|
Style Transfer (F16)
|
100% |
1625
2.14 IPS |
|
|
Style Transfer (I8)
|
85% |
1680
2.21 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
268
9.56 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
284
10.1 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
282
10.1 IPS |
|
|
Text Classification (F32)
|
100% |
217
311.7 IPS |
|
|
Text Classification (F16)
|
100% |
265
380.6 IPS |
|
|
Text Classification (I8)
|
94% |
146
209.2 IPS |
|
|
Machine Translation (F32)
|
100% |
335
6.16 IPS |
|
|
Machine Translation (F16)
|
100% |
368
6.76 IPS |
|
|
Machine Translation (I8)
|
67% |
444
8.17 IPS |
