BIOSTAR Group B450NH
Geekbench AI Score
2751
Single Precision Score
1278
Half Precision Score
4301
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | MiSA |
| Upload Date | August 25 2025 10:23 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | BIOSTAR Group B450NH |
| Motherboard | BIOSTAR Group B450NH |
| Power Plan | Kiegyenslyozott |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2352
437.5 IPS |
|
|
Image Classification (HP)
|
100% |
510
94.8 IPS |
|
|
Image Classification (Q)
|
96% |
3939
735.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
706
11.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
4277
69.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4102
4.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
3440
4.01 IPS |
|
|
Pose Estimation (Q)
|
86% |
8757
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
2053
162.9 IPS |
|
|
Object Detection (HP)
|
100% |
631
50.1 IPS |
|
|
Object Detection (Q)
|
58% |
2533
276.8 IPS |
|
|
Face Detection (SP)
|
100% |
3111
37.0 IPS |
|
|
Face Detection (HP)
|
100% |
1184
14.1 IPS |
|
|
Face Detection (Q)
|
96% |
6371
76.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5931
45.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1840
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
8065
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10238
13.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8111
10.4 IPS |
|
|
Style Transfer (Q)
|
87% |
11873
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1778
65.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1599
59.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3288
121.8 IPS |
|
|
Text Classification (SP)
|
100% |
1599
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
806
1.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1303
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1699
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
656
11.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2221
42.9 IPS |
