Micro-Star International Co., Ltd MS-7B86
Geekbench ML Score
1594
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | ju83 |
| Upload Date | May 16 2025 03:57 AM |
| 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% |
923
172.8 IPS |
|
|
Image Classification (F16)
|
100% |
938
175.6 IPS |
|
|
Image Classification (I8)
|
99% |
636
119.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
786
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
729
12.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
690
11.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
8029
9.72 IPS |
|
|
Pose Estimation (F16)
|
100% |
8103
9.81 IPS |
|
|
Pose Estimation (I8)
|
100% |
6768
8.20 IPS |
|
|
Object Detection (F32)
|
100% |
558
41.7 IPS |
|
|
Object Detection (F16)
|
100% |
710
53.0 IPS |
|
|
Object Detection (I8)
|
67% |
544
40.6 IPS |
|
|
Face Detection (F32)
|
100% |
2103
25.0 IPS |
|
|
Face Detection (F16)
|
100% |
2118
25.2 IPS |
|
|
Face Detection (I8)
|
90% |
1619
19.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5214
40.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
5143
39.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
3934
30.5 IPS |
|
|
Style Transfer (F32)
|
100% |
10043
13.2 IPS |
|
|
Style Transfer (F16)
|
100% |
9101
12.0 IPS |
|
|
Style Transfer (I8)
|
98% |
8085
10.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1210
43.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1209
43.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
983
35.1 IPS |
|
|
Text Classification (F32)
|
100% |
551
791.2 IPS |
|
|
Text Classification (F16)
|
100% |
489
702.7 IPS |
|
|
Text Classification (I8)
|
98% |
449
646.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1022
18.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1021
18.8 IPS |
|
|
Machine Translation (I8)
|
69% |
566
10.4 IPS |
