BIOSTAR Group B450MX-S
Geekbench AI Score
5648
Single Precision Score
6040
Half Precision Score
4157
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Chaves |
| Upload Date | February 15 2025 01:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 580 2048SP |
| 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% |
2457
456.9 IPS |
|
|
Image Classification (HP)
|
100% |
2789
518.7 IPS |
|
|
Image Classification (Q)
|
100% |
2063
383.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2646
42.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2120
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
38153
44.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
40155
46.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
31664
37.1 IPS |
|
|
Object Detection (SP)
|
100% |
2541
201.5 IPS |
|
|
Object Detection (HP)
|
100% |
2568
203.7 IPS |
|
|
Object Detection (Q)
|
88% |
2126
170.5 IPS |
|
|
Face Detection (SP)
|
100% |
6486
77.1 IPS |
|
|
Face Detection (HP)
|
100% |
7825
93.0 IPS |
|
|
Face Detection (Q)
|
97% |
5310
63.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
15084
116.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
16831
130.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
11023
88.4 IPS |
|
|
Style Transfer (SP)
|
100% |
62541
80.4 IPS |
|
|
Style Transfer (HP)
|
100% |
67702
87.0 IPS |
|
|
Style Transfer (Q)
|
98% |
48683
62.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8673
320.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9376
346.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5664
209.7 IPS |
|
|
Text Classification (SP)
|
100% |
988
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
891
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
590
790.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1072
18.5 IPS |
|
|
Machine Translation (HP)
|
96% |
1141
19.7 IPS |
|
|
Machine Translation (Q)
|
70% |
550
10.3 IPS |
