B550M-HDV
Geekbench AI Score
3057
Single Precision Score
3054
Half Precision Score
5197
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | darronb |
| Upload Date | May 20 2025 05:04 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B550M-HDV |
| Motherboard | ASRock B550M-HDV |
| Power Plan | High performance |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1858
345.5 IPS |
|
|
Image Classification (HP)
|
100% |
1819
338.2 IPS |
|
|
Image Classification (Q)
|
100% |
3437
639.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3758
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3793
4.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
3680
4.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
9039
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1829
145.1 IPS |
|
|
Object Detection (HP)
|
100% |
1802
142.9 IPS |
|
|
Object Detection (Q)
|
87% |
3728
299.0 IPS |
|
|
Face Detection (SP)
|
100% |
4099
48.7 IPS |
|
|
Face Detection (HP)
|
100% |
4047
48.1 IPS |
|
|
Face Detection (Q)
|
97% |
9722
115.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4818
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4767
36.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
9250
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11066
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11341
14.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25098
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2208
81.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2220
82.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5009
185.5 IPS |
|
|
Text Classification (SP)
|
100% |
1893
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1930
2.58 KIPS |
|
|
Text Classification (Q)
|
91% |
1016
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2856
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2887
49.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2877
49.6 IPS |
