Micro-Star International Co., Ltd MS-7B86
Geekbench ML Score
358
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | March 20 2025 04:43 AM |
| Views | 5 |
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% |
202
37.7 IPS |
|
|
Image Classification (F16)
|
100% |
179
33.5 IPS |
|
|
Image Classification (I8)
|
97% |
220
41.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
183
3.06 IPS |
|
|
Image Segmentation (F16)
|
100% |
178
2.98 IPS |
|
|
Image Segmentation (I8)
|
97% |
247
4.13 IPS |
|
|
Pose Estimation (F32)
|
100% |
620
0.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
659
0.80 IPS |
|
|
Pose Estimation (I8)
|
100% |
786
0.95 IPS |
|
|
Object Detection (F32)
|
100% |
151
11.3 IPS |
|
|
Object Detection (F16)
|
100% |
186
13.9 IPS |
|
|
Object Detection (I8)
|
60% |
171
12.8 IPS |
|
|
Face Detection (F32)
|
100% |
462
5.49 IPS |
|
|
Face Detection (F16)
|
100% |
424
5.04 IPS |
|
|
Face Detection (I8)
|
87% |
505
6.01 IPS |
|
|
Depth Estimation (F32)
|
100% |
562
4.36 IPS |
|
|
Depth Estimation (F16)
|
100% |
557
4.32 IPS |
|
|
Depth Estimation (I8)
|
74% |
596
4.62 IPS |
|
|
Style Transfer (F32)
|
100% |
1528
2.01 IPS |
|
|
Style Transfer (F16)
|
100% |
1494
1.97 IPS |
|
|
Style Transfer (I8)
|
85% |
1576
2.07 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
257
9.16 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
300
10.7 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
321
11.5 IPS |
|
|
Text Classification (F32)
|
100% |
267
383.5 IPS |
|
|
Text Classification (F16)
|
100% |
322
462.2 IPS |
|
|
Text Classification (I8)
|
94% |
97
139.1 IPS |
|
|
Machine Translation (F32)
|
100% |
311
5.73 IPS |
|
|
Machine Translation (F16)
|
100% |
285
5.24 IPS |
|
|
Machine Translation (I8)
|
67% |
354
6.52 IPS |
