Micro-Star International Co., Ltd MS-7B86
Geekbench ML Score
272
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | September 15 2024 03:12 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% |
117
22.0 IPS |
|
|
Image Classification (F16)
|
100% |
108
20.2 IPS |
|
|
Image Classification (I8)
|
97% |
166
31.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
129
2.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
142
2.37 IPS |
|
|
Image Segmentation (I8)
|
97% |
230
3.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
483
0.58 IPS |
|
|
Pose Estimation (F16)
|
100% |
559
0.68 IPS |
|
|
Pose Estimation (I8)
|
100% |
642
0.78 IPS |
|
|
Object Detection (F32)
|
100% |
178
13.3 IPS |
|
|
Object Detection (F16)
|
100% |
90
6.75 IPS |
|
|
Object Detection (I8)
|
60% |
111
8.27 IPS |
|
|
Face Detection (F32)
|
100% |
272
3.23 IPS |
|
|
Face Detection (F16)
|
100% |
263
3.13 IPS |
|
|
Face Detection (I8)
|
87% |
294
3.49 IPS |
|
|
Depth Estimation (F32)
|
100% |
411
3.19 IPS |
|
|
Depth Estimation (F16)
|
100% |
410
3.18 IPS |
|
|
Depth Estimation (I8)
|
74% |
711
5.52 IPS |
|
|
Style Transfer (F32)
|
100% |
1588
2.09 IPS |
|
|
Style Transfer (F16)
|
100% |
1227
1.61 IPS |
|
|
Style Transfer (I8)
|
85% |
1377
1.81 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
182
6.51 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
231
8.26 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
217
7.73 IPS |
|
|
Text Classification (F32)
|
100% |
230
331.1 IPS |
|
|
Text Classification (F16)
|
100% |
218
313.5 IPS |
|
|
Text Classification (I8)
|
94% |
86
124.1 IPS |
|
|
Machine Translation (F32)
|
100% |
293
5.40 IPS |
|
|
Machine Translation (F16)
|
100% |
217
3.99 IPS |
|
|
Machine Translation (I8)
|
67% |
243
4.47 IPS |
