B550M Steel Legend
Geekbench AI Score
4831
Single Precision Score
4856
Half Precision Score
7356
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hisyho |
| Upload Date | August 08 2025 01:02 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B550M Steel Legend |
| Motherboard | ASRock B550M Steel Legend |
| 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% |
2962
550.9 IPS |
|
|
Image Classification (HP)
|
100% |
3124
580.9 IPS |
|
|
Image Classification (Q)
|
100% |
5089
946.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3652
59.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3657
59.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5755
93.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6308
7.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
6251
7.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
13040
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
2954
234.3 IPS |
|
|
Object Detection (HP)
|
100% |
2849
226.0 IPS |
|
|
Object Detection (Q)
|
87% |
5103
409.2 IPS |
|
|
Face Detection (SP)
|
100% |
5607
66.6 IPS |
|
|
Face Detection (HP)
|
100% |
5716
67.9 IPS |
|
|
Face Detection (Q)
|
97% |
14628
174.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7658
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
7617
58.7 IPS |
|
|
Depth Estimation (Q)
|
81% |
13178
103.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17725
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
17509
22.5 IPS |
|
|
Style Transfer (Q)
|
98% |
37887
48.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3516
129.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3624
133.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
7587
281.0 IPS |
|
|
Text Classification (SP)
|
100% |
3021
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3096
4.13 KIPS |
|
|
Text Classification (Q)
|
91% |
1109
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4252
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4197
72.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3877
66.8 IPS |
