Micro-Star International Co., Ltd MS-7B86
Geekbench ML Score
1603
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | April 29 2025 07:48 PM |
| Views | 2 |
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% |
873
163.4 IPS |
|
|
Image Classification (F16)
|
100% |
928
173.6 IPS |
|
|
Image Classification (I8)
|
99% |
764
142.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
760
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
798
13.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
674
11.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
8030
9.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
8007
9.70 IPS |
|
|
Pose Estimation (I8)
|
100% |
6739
8.16 IPS |
|
|
Object Detection (F32)
|
100% |
792
59.1 IPS |
|
|
Object Detection (F16)
|
100% |
757
56.5 IPS |
|
|
Object Detection (I8)
|
67% |
601
44.8 IPS |
|
|
Face Detection (F32)
|
100% |
1935
23.0 IPS |
|
|
Face Detection (F16)
|
100% |
1941
23.1 IPS |
|
|
Face Detection (I8)
|
90% |
1622
19.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4512
35.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
5084
39.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
3642
28.2 IPS |
|
|
Style Transfer (F32)
|
100% |
9092
12.0 IPS |
|
|
Style Transfer (F16)
|
100% |
8653
11.4 IPS |
|
|
Style Transfer (I8)
|
98% |
8071
10.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1209
43.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1199
42.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
982
35.1 IPS |
|
|
Text Classification (F32)
|
100% |
635
911.9 IPS |
|
|
Text Classification (F16)
|
100% |
449
644.9 IPS |
|
|
Text Classification (I8)
|
98% |
470
675.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1016
18.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1029
18.9 IPS |
|
|
Machine Translation (I8)
|
69% |
558
10.3 IPS |
