BIOSTAR Group B550MHP
Geekbench AI Score
3916
Single Precision Score
3927
Half Precision Score
6565
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | December 31 2024 08:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | BIOSTAR Group B550MHP |
| Motherboard | BIOSTAR Group B550MHP |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2500
464.8 IPS |
|
|
Image Classification (HP)
|
100% |
2523
469.2 IPS |
|
|
Image Classification (Q)
|
100% |
4176
776.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2701
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2752
44.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4512
73.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4932
5.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
4923
5.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
11229
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
2377
188.6 IPS |
|
|
Object Detection (HP)
|
100% |
2332
184.9 IPS |
|
|
Object Detection (Q)
|
87% |
4336
347.8 IPS |
|
|
Face Detection (SP)
|
100% |
4807
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
4802
57.1 IPS |
|
|
Face Detection (Q)
|
97% |
12163
145.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6173
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6334
48.8 IPS |
|
|
Depth Estimation (Q)
|
81% |
11861
93.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14432
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
14444
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31732
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2902
107.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2846
105.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6547
242.5 IPS |
|
|
Text Classification (SP)
|
100% |
2262
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
2270
3.03 KIPS |
|
|
Text Classification (Q)
|
91% |
1520
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3817
65.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3857
66.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3563
61.4 IPS |
