Micro-Star International Co., Ltd MS-7B86
Geekbench ML Score
1467
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | September 15 2024 03:23 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% |
906
169.6 IPS |
|
|
Image Classification (F16)
|
100% |
765
143.2 IPS |
|
|
Image Classification (I8)
|
99% |
730
136.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
776
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
748
12.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
650
10.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
8087
9.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
8033
9.73 IPS |
|
|
Pose Estimation (I8)
|
100% |
6807
8.24 IPS |
|
|
Object Detection (F32)
|
100% |
555
41.4 IPS |
|
|
Object Detection (F16)
|
100% |
808
60.3 IPS |
|
|
Object Detection (I8)
|
67% |
615
45.9 IPS |
|
|
Face Detection (F32)
|
100% |
1934
23.0 IPS |
|
|
Face Detection (F16)
|
100% |
1878
22.3 IPS |
|
|
Face Detection (I8)
|
90% |
1572
18.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3092
24.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
5102
39.6 IPS |
|
|
Depth Estimation (I8)
|
94% |
3886
30.1 IPS |
|
|
Style Transfer (F32)
|
100% |
9812
12.9 IPS |
|
|
Style Transfer (F16)
|
100% |
9101
12.0 IPS |
|
|
Style Transfer (I8)
|
98% |
7413
9.75 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1074
38.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1149
41.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
971
34.7 IPS |
|
|
Text Classification (F32)
|
100% |
313
450.4 IPS |
|
|
Text Classification (F16)
|
100% |
460
660.7 IPS |
|
|
Text Classification (I8)
|
98% |
232
333.7 IPS |
|
|
Machine Translation (F32)
|
100% |
860
15.8 IPS |
|
|
Machine Translation (F16)
|
100% |
990
18.2 IPS |
|
|
Machine Translation (I8)
|
69% |
542
9.98 IPS |
