Micro-Star International Co., Ltd MS-7B86
Geekbench ML Score
344
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | February 16 2025 01:22 PM |
| 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% |
166
31.0 IPS |
|
|
Image Classification (F16)
|
100% |
167
31.3 IPS |
|
|
Image Classification (I8)
|
97% |
205
38.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
183
3.05 IPS |
|
|
Image Segmentation (F16)
|
100% |
193
3.22 IPS |
|
|
Image Segmentation (I8)
|
97% |
227
3.80 IPS |
|
|
Pose Estimation (F32)
|
100% |
626
0.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
642
0.78 IPS |
|
|
Pose Estimation (I8)
|
100% |
730
0.88 IPS |
|
|
Object Detection (F32)
|
100% |
175
13.1 IPS |
|
|
Object Detection (F16)
|
100% |
186
13.9 IPS |
|
|
Object Detection (I8)
|
60% |
201
15.0 IPS |
|
|
Face Detection (F32)
|
100% |
456
5.42 IPS |
|
|
Face Detection (F16)
|
100% |
451
5.36 IPS |
|
|
Face Detection (I8)
|
87% |
545
6.48 IPS |
|
|
Depth Estimation (F32)
|
100% |
473
3.67 IPS |
|
|
Depth Estimation (F16)
|
100% |
506
3.92 IPS |
|
|
Depth Estimation (I8)
|
74% |
518
4.02 IPS |
|
|
Style Transfer (F32)
|
100% |
1543
2.03 IPS |
|
|
Style Transfer (F16)
|
100% |
1574
2.07 IPS |
|
|
Style Transfer (I8)
|
85% |
1694
2.23 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
232
8.30 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
282
10.1 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
294
10.5 IPS |
|
|
Text Classification (F32)
|
100% |
232
333.6 IPS |
|
|
Text Classification (F16)
|
100% |
274
393.4 IPS |
|
|
Text Classification (I8)
|
94% |
72
103.4 IPS |
|
|
Machine Translation (F32)
|
100% |
291
5.35 IPS |
|
|
Machine Translation (F16)
|
100% |
327
6.02 IPS |
|
|
Machine Translation (I8)
|
67% |
308
5.67 IPS |
