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 | September 11 2024 07:01 PM |
| Views | 3 |
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% |
211
39.5 IPS |
|
|
Image Classification (F16)
|
100% |
165
30.8 IPS |
|
|
Image Classification (I8)
|
97% |
214
40.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
199
3.33 IPS |
|
|
Image Segmentation (F16)
|
100% |
199
3.32 IPS |
|
|
Image Segmentation (I8)
|
97% |
231
3.86 IPS |
|
|
Pose Estimation (F32)
|
100% |
640
0.78 IPS |
|
|
Pose Estimation (F16)
|
100% |
655
0.79 IPS |
|
|
Pose Estimation (I8)
|
100% |
758
0.92 IPS |
|
|
Object Detection (F32)
|
100% |
157
11.7 IPS |
|
|
Object Detection (F16)
|
100% |
212
15.8 IPS |
|
|
Object Detection (I8)
|
60% |
171
12.8 IPS |
|
|
Face Detection (F32)
|
100% |
439
5.22 IPS |
|
|
Face Detection (F16)
|
100% |
426
5.07 IPS |
|
|
Face Detection (I8)
|
87% |
466
5.54 IPS |
|
|
Depth Estimation (F32)
|
100% |
572
4.43 IPS |
|
|
Depth Estimation (F16)
|
100% |
576
4.47 IPS |
|
|
Depth Estimation (I8)
|
74% |
525
4.07 IPS |
|
|
Style Transfer (F32)
|
100% |
1578
2.08 IPS |
|
|
Style Transfer (F16)
|
100% |
1565
2.06 IPS |
|
|
Style Transfer (I8)
|
85% |
1561
2.05 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
294
10.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
211
7.53 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
305
10.9 IPS |
|
|
Text Classification (F32)
|
100% |
187
268.8 IPS |
|
|
Text Classification (F16)
|
100% |
235
337.1 IPS |
|
|
Text Classification (I8)
|
94% |
99
142.4 IPS |
|
|
Machine Translation (F32)
|
100% |
277
5.09 IPS |
|
|
Machine Translation (F16)
|
100% |
256
4.71 IPS |
|
|
Machine Translation (I8)
|
67% |
313
5.76 IPS |
