BIOSTAR Group X470NH
Geekbench AI Score
818
Single Precision Score
487
Half Precision Score
851
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 12:38 PM |
| Views | 4 |
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 X470NH |
| Motherboard | BIOSTAR Group X470NH |
| Power Plan | AMD Ryzen Balanced |
| 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% |
553
102.9 IPS |
|
|
Image Classification (HP)
|
100% |
218
40.5 IPS |
|
|
Image Classification (Q)
|
96% |
564
105.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
329
5.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
229
3.72 IPS |
|
|
Image Segmentation (Q)
|
97% |
657
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1130
1.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
999
1.17 IPS |
|
|
Pose Estimation (Q)
|
86% |
1246
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
527
41.8 IPS |
|
|
Object Detection (HP)
|
100% |
250
19.8 IPS |
|
|
Object Detection (Q)
|
58% |
395
43.2 IPS |
|
|
Face Detection (SP)
|
100% |
1230
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
527
6.26 IPS |
|
|
Face Detection (Q)
|
96% |
1478
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1386
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
720
5.54 IPS |
|
|
Depth Estimation (Q)
|
78% |
1411
11.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2955
3.80 IPS |
|
|
Style Transfer (HP)
|
100% |
2644
3.40 IPS |
|
|
Style Transfer (Q)
|
87% |
2911
3.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
563
20.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
472
17.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
622
23.0 IPS |
|
|
Text Classification (SP)
|
100% |
582
776.4 IPS |
|
|
Text Classification (HP)
|
100% |
344
458.8 IPS |
|
|
Text Classification (Q)
|
97% |
383
513.3 IPS |
|
|
Machine Translation (SP)
|
100% |
752
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
373
6.43 IPS |
|
|
Machine Translation (Q)
|
68% |
756
14.6 IPS |
