B550M-HDV
Geekbench AI Score
2149
Single Precision Score
992
Half Precision Score
3487
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | darronb |
| Upload Date | May 20 2025 05:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G |
| 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% |
1540
286.3 IPS |
|
|
Image Classification (HP)
|
100% |
392
72.9 IPS |
|
|
Image Classification (Q)
|
96% |
3111
581.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1072
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
580
9.39 IPS |
|
|
Image Segmentation (Q)
|
97% |
2056
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3230
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
2474
2.89 IPS |
|
|
Pose Estimation (Q)
|
86% |
7250
8.57 IPS |
|
|
Object Detection (SP)
|
100% |
1504
119.3 IPS |
|
|
Object Detection (HP)
|
100% |
497
39.4 IPS |
|
|
Object Detection (Q)
|
58% |
2279
249.0 IPS |
|
|
Face Detection (SP)
|
100% |
3350
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
1043
12.4 IPS |
|
|
Face Detection (Q)
|
96% |
5810
69.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4108
31.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1485
11.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7000
55.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8128
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6150
7.91 IPS |
|
|
Style Transfer (Q)
|
87% |
12139
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1366
50.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1164
43.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1962
72.7 IPS |
|
|
Text Classification (SP)
|
100% |
1046
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
583
777.9 IPS |
|
|
Text Classification (Q)
|
97% |
1185
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1641
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
513
8.84 IPS |
|
|
Machine Translation (Q)
|
68% |
2191
42.3 IPS |
