BIOSTAR Group B450NH
Geekbench AI Score
9331
Single Precision Score
11407
Half Precision Score
7131
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | MiSA |
| Upload Date | August 25 2025 10:25 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6500 XT |
| 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% |
3596
668.8 IPS |
|
|
Image Classification (HP)
|
100% |
4387
815.9 IPS |
|
|
Image Classification (Q)
|
100% |
3145
585.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
5457
88.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4490
72.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4650
75.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
48744
56.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
81104
94.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
40658
47.6 IPS |
|
|
Object Detection (SP)
|
100% |
3807
302.0 IPS |
|
|
Object Detection (HP)
|
100% |
4269
338.6 IPS |
|
|
Object Detection (Q)
|
87% |
3311
265.9 IPS |
|
|
Face Detection (SP)
|
100% |
9458
112.4 IPS |
|
|
Face Detection (HP)
|
100% |
12827
152.4 IPS |
|
|
Face Detection (Q)
|
97% |
7918
94.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23686
182.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33591
258.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
18591
149.3 IPS |
|
|
Style Transfer (SP)
|
100% |
92658
119.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121023
155.6 IPS |
|
|
Style Transfer (Q)
|
98% |
73605
94.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17038
629.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20546
758.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11345
420.1 IPS |
|
|
Text Classification (SP)
|
100% |
1927
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2534
3.38 KIPS |
|
|
Text Classification (Q)
|
97% |
1190
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2017
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2016
34.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1182
22.2 IPS |
