B550M Steel Legend
Geekbench AI Score
3987
Single Precision Score
3961
Half Precision Score
6236
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | t0k1e |
| Upload Date | April 26 2025 01:33 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B550M Steel Legend |
| Motherboard | ASRock B550M Steel Legend |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2572
478.3 IPS |
|
|
Image Classification (HP)
|
100% |
2501
465.1 IPS |
|
|
Image Classification (Q)
|
100% |
4262
792.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2931
47.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2929
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4611
75.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4753
5.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
4878
5.69 IPS |
|
|
Pose Estimation (Q)
|
94% |
11262
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
2460
195.1 IPS |
|
|
Object Detection (HP)
|
100% |
2402
190.5 IPS |
|
|
Object Detection (Q)
|
87% |
4439
356.0 IPS |
|
|
Face Detection (SP)
|
100% |
5809
69.0 IPS |
|
|
Face Detection (HP)
|
100% |
5619
66.8 IPS |
|
|
Face Detection (Q)
|
97% |
11917
142.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6104
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5790
44.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
11587
91.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14227
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14370
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
28553
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2904
107.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2889
106.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6052
224.2 IPS |
|
|
Text Classification (SP)
|
100% |
2336
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
2441
3.26 KIPS |
|
|
Text Classification (Q)
|
91% |
1109
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3368
58.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3365
58.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3423
59.0 IPS |
