Micro-Star International Co., Ltd MS-7B86
Geekbench ML Score
337
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | January 06 2026 07:10 PM |
| Views | 4 |
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% |
156
29.1 IPS |
|
|
Image Classification (F16)
|
100% |
172
32.3 IPS |
|
|
Image Classification (I8)
|
97% |
184
34.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
184
3.06 IPS |
|
|
Image Segmentation (F16)
|
100% |
169
2.83 IPS |
|
|
Image Segmentation (I8)
|
97% |
239
3.99 IPS |
|
|
Pose Estimation (F32)
|
100% |
631
0.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
598
0.72 IPS |
|
|
Pose Estimation (I8)
|
100% |
745
0.90 IPS |
|
|
Object Detection (F32)
|
100% |
184
13.7 IPS |
|
|
Object Detection (F16)
|
100% |
194
14.5 IPS |
|
|
Object Detection (I8)
|
60% |
158
11.8 IPS |
|
|
Face Detection (F32)
|
100% |
395
4.70 IPS |
|
|
Face Detection (F16)
|
100% |
441
5.25 IPS |
|
|
Face Detection (I8)
|
87% |
437
5.20 IPS |
|
|
Depth Estimation (F32)
|
100% |
517
4.01 IPS |
|
|
Depth Estimation (F16)
|
100% |
573
4.44 IPS |
|
|
Depth Estimation (I8)
|
74% |
596
4.62 IPS |
|
|
Style Transfer (F32)
|
100% |
1395
1.83 IPS |
|
|
Style Transfer (F16)
|
100% |
1474
1.94 IPS |
|
|
Style Transfer (I8)
|
85% |
1613
2.12 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
275
9.82 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
257
9.19 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
203
7.25 IPS |
|
|
Text Classification (F32)
|
100% |
161
231.6 IPS |
|
|
Text Classification (F16)
|
100% |
219
314.0 IPS |
|
|
Text Classification (I8)
|
94% |
122
175.3 IPS |
|
|
Machine Translation (F32)
|
100% |
339
6.24 IPS |
|
|
Machine Translation (F16)
|
100% |
325
5.98 IPS |
|
|
Machine Translation (I8)
|
67% |
383
7.05 IPS |
