BIOSTAR Group B450MX-S
Geekbench AI Score
1197
Single Precision Score
1239
Half Precision Score
1295
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Chaves |
| Upload Date | February 15 2025 01:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 3 3200G with Radeon Vega Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | BIOSTAR Group B450MX-S |
| Motherboard | BIOSTAR Group B450MX-S |
| Power Plan | Alto desempenho |
| 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
813
151.3 IPS |
|
|
Image Classification (HP)
|
100% |
813
151.3 IPS |
|
|
Image Classification (Q)
|
100% |
817
152.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
528
8.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
500
8.11 IPS |
|
|
Image Segmentation (Q)
|
99% |
668
10.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1574
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1573
1.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
1619
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
592
47.0 IPS |
|
|
Object Detection (HP)
|
100% |
738
58.5 IPS |
|
|
Object Detection (Q)
|
87% |
824
66.1 IPS |
|
|
Face Detection (SP)
|
100% |
1399
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
1440
17.1 IPS |
|
|
Face Detection (Q)
|
97% |
2255
26.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2079
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2076
16.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
2105
16.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4445
5.71 IPS |
|
|
Style Transfer (HP)
|
100% |
4443
5.71 IPS |
|
|
Style Transfer (Q)
|
98% |
4678
6.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
928
34.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
929
34.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
996
36.9 IPS |
|
|
Text Classification (SP)
|
100% |
943
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1096
1.46 KIPS |
|
|
Text Classification (Q)
|
91% |
659
885.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1337
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1340
23.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1253
21.6 IPS |
