Micro-Star International Co., Ltd MS-7B86
Geekbench ML Score
363
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | February 08 2026 07:11 PM |
| Views | 11 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 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% |
168
31.5 IPS |
|
|
Image Classification (F16)
|
100% |
172
32.3 IPS |
|
|
Image Classification (I8)
|
97% |
190
35.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
200
3.35 IPS |
|
|
Image Segmentation (F16)
|
100% |
198
3.31 IPS |
|
|
Image Segmentation (I8)
|
97% |
271
4.52 IPS |
|
|
Pose Estimation (F32)
|
100% |
592
0.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
612
0.74 IPS |
|
|
Pose Estimation (I8)
|
100% |
775
0.94 IPS |
|
|
Object Detection (F32)
|
100% |
185
13.8 IPS |
|
|
Object Detection (F16)
|
100% |
213
15.9 IPS |
|
|
Object Detection (I8)
|
60% |
206
15.4 IPS |
|
|
Face Detection (F32)
|
100% |
459
5.46 IPS |
|
|
Face Detection (F16)
|
100% |
443
5.26 IPS |
|
|
Face Detection (I8)
|
87% |
496
5.90 IPS |
|
|
Depth Estimation (F32)
|
100% |
661
5.13 IPS |
|
|
Depth Estimation (F16)
|
100% |
543
4.21 IPS |
|
|
Depth Estimation (I8)
|
74% |
577
4.48 IPS |
|
|
Style Transfer (F32)
|
100% |
1621
2.13 IPS |
|
|
Style Transfer (F16)
|
100% |
1509
1.98 IPS |
|
|
Style Transfer (I8)
|
85% |
1601
2.11 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
295
10.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
279
9.96 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
349
12.5 IPS |
|
|
Text Classification (F32)
|
100% |
221
318.2 IPS |
|
|
Text Classification (F16)
|
100% |
245
352.7 IPS |
|
|
Text Classification (I8)
|
94% |
110
158.2 IPS |
|
|
Machine Translation (F32)
|
100% |
334
6.15 IPS |
|
|
Machine Translation (F16)
|
100% |
305
5.62 IPS |
|
|
Machine Translation (I8)
|
67% |
347
6.39 IPS |
