Micro-Star International Co., Ltd MS-7B86
Geekbench ML Score
1500
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | January 06 2026 07:17 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 | DirectML |
| Device | AMD Radeon(TM) Vega 8 Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
833
155.9 IPS |
|
|
Image Classification (F16)
|
100% |
925
173.0 IPS |
|
|
Image Classification (I8)
|
99% |
742
138.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
787
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
774
12.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
683
11.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
8050
9.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
7975
9.66 IPS |
|
|
Pose Estimation (I8)
|
100% |
6795
8.23 IPS |
|
|
Object Detection (F32)
|
100% |
263
19.6 IPS |
|
|
Object Detection (F16)
|
100% |
305
22.8 IPS |
|
|
Object Detection (I8)
|
67% |
547
40.8 IPS |
|
|
Face Detection (F32)
|
100% |
2060
24.5 IPS |
|
|
Face Detection (F16)
|
100% |
1997
23.8 IPS |
|
|
Face Detection (I8)
|
90% |
1579
18.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
4904
38.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
4751
36.8 IPS |
|
|
Depth Estimation (I8)
|
94% |
3803
29.5 IPS |
|
|
Style Transfer (F32)
|
100% |
9049
11.9 IPS |
|
|
Style Transfer (F16)
|
100% |
10700
14.1 IPS |
|
|
Style Transfer (I8)
|
98% |
8031
10.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1182
42.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1186
42.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
977
34.9 IPS |
|
|
Text Classification (F32)
|
100% |
667
958.2 IPS |
|
|
Text Classification (F16)
|
100% |
692
994.4 IPS |
|
|
Text Classification (I8)
|
98% |
409
587.6 IPS |
|
|
Machine Translation (F32)
|
100% |
943
17.3 IPS |
|
|
Machine Translation (F16)
|
100% |
779
14.3 IPS |
|
|
Machine Translation (I8)
|
69% |
499
9.19 IPS |
