B550M-HDV
Geekbench AI Score
2567
Single Precision Score
1217
Half Precision Score
3821
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | February 24 2025 06:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | B550M-HDV |
| Motherboard | ASRock B550M-HDV |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1634
303.9 IPS |
|
|
Image Classification (HP)
|
100% |
501
93.2 IPS |
|
|
Image Classification (Q)
|
96% |
4834
902.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1317
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
686
11.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
1991
32.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4193
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2955
3.45 IPS |
|
|
Pose Estimation (Q)
|
86% |
10525
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1694
134.3 IPS |
|
|
Object Detection (HP)
|
100% |
515
40.8 IPS |
|
|
Object Detection (Q)
|
58% |
2220
242.6 IPS |
|
|
Face Detection (SP)
|
100% |
3462
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
1280
15.2 IPS |
|
|
Face Detection (Q)
|
96% |
7359
87.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5602
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1855
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10018
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11140
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8284
10.6 IPS |
|
|
Style Transfer (Q)
|
87% |
15687
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1759
65.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1675
61.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2668
98.9 IPS |
|
|
Text Classification (SP)
|
100% |
1225
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
660
880.7 IPS |
|
|
Text Classification (Q)
|
97% |
452
605.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1746
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
628
10.8 IPS |
|
|
Machine Translation (Q)
|
68% |
2116
40.9 IPS |
