Micro-Star International Co., Ltd MS-7B86
Geekbench ML Score
357
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | April 29 2025 07:44 PM |
| Views | 10 |
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% |
107
20.0 IPS |
|
|
Image Classification (F16)
|
100% |
139
26.0 IPS |
|
|
Image Classification (I8)
|
97% |
195
36.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
198
3.30 IPS |
|
|
Image Segmentation (F16)
|
100% |
208
3.48 IPS |
|
|
Image Segmentation (I8)
|
97% |
241
4.02 IPS |
|
|
Pose Estimation (F32)
|
100% |
649
0.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
643
0.78 IPS |
|
|
Pose Estimation (I8)
|
100% |
665
0.81 IPS |
|
|
Object Detection (F32)
|
100% |
146
10.9 IPS |
|
|
Object Detection (F16)
|
100% |
189
14.1 IPS |
|
|
Object Detection (I8)
|
60% |
193
14.4 IPS |
|
|
Face Detection (F32)
|
100% |
492
5.86 IPS |
|
|
Face Detection (F16)
|
100% |
505
6.00 IPS |
|
|
Face Detection (I8)
|
87% |
482
5.73 IPS |
|
|
Depth Estimation (F32)
|
100% |
627
4.86 IPS |
|
|
Depth Estimation (F16)
|
100% |
609
4.72 IPS |
|
|
Depth Estimation (I8)
|
74% |
807
6.26 IPS |
|
|
Style Transfer (F32)
|
100% |
1550
2.04 IPS |
|
|
Style Transfer (F16)
|
100% |
1507
1.98 IPS |
|
|
Style Transfer (I8)
|
85% |
1522
2.00 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
246
8.78 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
311
11.1 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
329
11.8 IPS |
|
|
Text Classification (F32)
|
100% |
289
414.9 IPS |
|
|
Text Classification (F16)
|
100% |
274
393.3 IPS |
|
|
Text Classification (I8)
|
94% |
116
166.2 IPS |
|
|
Machine Translation (F32)
|
100% |
314
5.79 IPS |
|
|
Machine Translation (F16)
|
100% |
285
5.25 IPS |
|
|
Machine Translation (I8)
|
67% |
357
6.57 IPS |
