B550M-HDV
Geekbench AI Score
2195
Single Precision Score
1053
Half Precision Score
3786
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | darronb |
| Upload Date | November 10 2025 08:52 AM |
| Views | 6 |
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% |
1621
301.4 IPS |
|
|
Image Classification (HP)
|
100% |
422
78.5 IPS |
|
|
Image Classification (Q)
|
96% |
3142
586.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1167
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
604
9.79 IPS |
|
|
Image Segmentation (Q)
|
97% |
3732
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3168
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2469
2.88 IPS |
|
|
Pose Estimation (Q)
|
86% |
7263
8.59 IPS |
|
|
Object Detection (SP)
|
100% |
1472
116.8 IPS |
|
|
Object Detection (HP)
|
100% |
517
41.0 IPS |
|
|
Object Detection (Q)
|
58% |
2175
237.7 IPS |
|
|
Face Detection (SP)
|
100% |
3362
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
1137
13.5 IPS |
|
|
Face Detection (Q)
|
96% |
5669
67.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4339
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1493
11.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
7102
56.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7430
9.55 IPS |
|
|
Style Transfer (HP)
|
100% |
5906
7.59 IPS |
|
|
Style Transfer (Q)
|
87% |
12204
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1433
52.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1174
43.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2862
106.0 IPS |
|
|
Text Classification (SP)
|
100% |
1211
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
684
913.0 IPS |
|
|
Text Classification (Q)
|
97% |
1112
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1566
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
641
11.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2094
40.5 IPS |
