BIOSTAR Group B450NH
Geekbench AI Score
3551
Single Precision Score
3486
Half Precision Score
5894
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | MiSA |
| Upload Date | August 25 2025 10:28 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
2240
416.6 IPS |
|
|
Image Classification (HP)
|
100% |
2154
400.7 IPS |
|
|
Image Classification (Q)
|
100% |
3160
587.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2450
39.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4320
70.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4442
5.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
4266
4.98 IPS |
|
|
Pose Estimation (Q)
|
94% |
10303
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
2136
169.4 IPS |
|
|
Object Detection (HP)
|
100% |
2034
161.3 IPS |
|
|
Object Detection (Q)
|
87% |
4113
329.8 IPS |
|
|
Face Detection (SP)
|
100% |
3966
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
3912
46.5 IPS |
|
|
Face Detection (Q)
|
97% |
11449
136.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5693
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5709
44.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
10651
84.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13124
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13129
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29005
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2622
96.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2597
95.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5998
222.2 IPS |
|
|
Text Classification (SP)
|
100% |
2246
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2249
3.00 KIPS |
|
|
Text Classification (Q)
|
91% |
1226
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3487
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3384
58.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3363
57.9 IPS |
