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 | May 16 2025 03:34 AM |
| 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
29.2 IPS |
|
|
Image Classification (F16)
|
100% |
154
28.8 IPS |
|
|
Image Classification (I8)
|
97% |
212
39.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
177
2.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
203
3.40 IPS |
|
|
Image Segmentation (I8)
|
97% |
221
3.69 IPS |
|
|
Pose Estimation (F32)
|
100% |
555
0.67 IPS |
|
|
Pose Estimation (F16)
|
100% |
638
0.77 IPS |
|
|
Pose Estimation (I8)
|
100% |
768
0.93 IPS |
|
|
Object Detection (F32)
|
100% |
216
16.1 IPS |
|
|
Object Detection (F16)
|
100% |
174
13.0 IPS |
|
|
Object Detection (I8)
|
60% |
188
14.0 IPS |
|
|
Face Detection (F32)
|
100% |
395
4.70 IPS |
|
|
Face Detection (F16)
|
100% |
404
4.80 IPS |
|
|
Face Detection (I8)
|
87% |
454
5.39 IPS |
|
|
Depth Estimation (F32)
|
100% |
541
4.20 IPS |
|
|
Depth Estimation (F16)
|
100% |
606
4.70 IPS |
|
|
Depth Estimation (I8)
|
74% |
678
5.26 IPS |
|
|
Style Transfer (F32)
|
100% |
1602
2.11 IPS |
|
|
Style Transfer (F16)
|
100% |
1537
2.02 IPS |
|
|
Style Transfer (I8)
|
85% |
1654
2.18 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
274
9.79 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
231
8.25 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
268
9.58 IPS |
|
|
Text Classification (F32)
|
100% |
246
352.8 IPS |
|
|
Text Classification (F16)
|
100% |
255
366.1 IPS |
|
|
Text Classification (I8)
|
94% |
122
175.0 IPS |
|
|
Machine Translation (F32)
|
100% |
228
4.20 IPS |
|
|
Machine Translation (F16)
|
100% |
278
5.11 IPS |
|
|
Machine Translation (I8)
|
67% |
307
5.66 IPS |
