B550M Pro4
Geekbench AI Score
2836
Single Precision Score
1237
Half Precision Score
2948
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 26 2025 11:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | B550M Pro4 |
| Motherboard | ASRock B550M Pro4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2194
408.1 IPS |
|
|
Image Classification (HP)
|
100% |
471
87.6 IPS |
|
|
Image Classification (Q)
|
96% |
2314
432.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
913
14.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
497
8.06 IPS |
|
|
Image Segmentation (Q)
|
97% |
1740
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5672
6.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
4318
5.04 IPS |
|
|
Pose Estimation (Q)
|
86% |
5339
6.31 IPS |
|
|
Object Detection (SP)
|
100% |
2185
173.3 IPS |
|
|
Object Detection (HP)
|
100% |
606
48.1 IPS |
|
|
Object Detection (Q)
|
58% |
1818
198.7 IPS |
|
|
Face Detection (SP)
|
100% |
4362
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
1337
15.9 IPS |
|
|
Face Detection (Q)
|
96% |
5313
63.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6693
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1890
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
5915
47.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12352
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9593
12.3 IPS |
|
|
Style Transfer (Q)
|
87% |
11061
14.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1919
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1691
62.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1708
63.3 IPS |
|
|
Text Classification (SP)
|
100% |
1118
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
526
701.8 IPS |
|
|
Text Classification (Q)
|
97% |
994
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1754
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
636
11.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2152
41.6 IPS |
