BIOSTAR Group B450MX-S
Geekbench AI Score
1005
Single Precision Score
602
Half Precision Score
1061
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Chaves |
| Upload Date | February 15 2025 01:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 3200G |
| 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% |
781
145.3 IPS |
|
|
Image Classification (HP)
|
100% |
267
49.6 IPS |
|
|
Image Classification (Q)
|
96% |
797
148.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
328
5.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
271
4.39 IPS |
|
|
Image Segmentation (Q)
|
97% |
776
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1558
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1336
1.56 IPS |
|
|
Pose Estimation (Q)
|
86% |
1525
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
703
55.8 IPS |
|
|
Object Detection (HP)
|
100% |
315
25.0 IPS |
|
|
Object Detection (Q)
|
58% |
568
62.0 IPS |
|
|
Face Detection (SP)
|
100% |
1287
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
620
7.37 IPS |
|
|
Face Detection (Q)
|
96% |
1867
22.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2016
15.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
937
7.22 IPS |
|
|
Depth Estimation (Q)
|
78% |
1816
14.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3848
4.95 IPS |
|
|
Style Transfer (HP)
|
100% |
3492
4.49 IPS |
|
|
Style Transfer (Q)
|
87% |
3266
4.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
731
27.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
652
24.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
703
26.0 IPS |
|
|
Text Classification (SP)
|
100% |
641
855.3 IPS |
|
|
Text Classification (HP)
|
100% |
422
562.9 IPS |
|
|
Text Classification (Q)
|
97% |
550
737.0 IPS |
|
|
Machine Translation (SP)
|
100% |
807
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
369
6.36 IPS |
|
|
Machine Translation (Q)
|
68% |
792
15.3 IPS |
