B550 Steel Legend
Geekbench AI Score
2221
Single Precision Score
986
Half Precision Score
2788
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | mod47971 |
| Upload Date | February 18 2025 11:34 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | B550 Steel Legend |
| Motherboard | ASRock B550 Steel Legend |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1802
335.1 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.6 IPS |
|
|
Image Classification (Q)
|
96% |
2627
490.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
848
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
494
8.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
1627
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4250
4.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
3233
3.77 IPS |
|
|
Pose Estimation (Q)
|
86% |
5592
6.61 IPS |
|
|
Object Detection (SP)
|
100% |
1665
132.1 IPS |
|
|
Object Detection (HP)
|
100% |
449
35.6 IPS |
|
|
Object Detection (Q)
|
58% |
1781
194.6 IPS |
|
|
Face Detection (SP)
|
100% |
3039
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
1003
11.9 IPS |
|
|
Face Detection (Q)
|
96% |
5225
62.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5312
40.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1544
11.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
5871
46.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9590
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8027
10.3 IPS |
|
|
Style Transfer (Q)
|
87% |
9653
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1393
51.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1319
48.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1575
58.4 IPS |
|
|
Text Classification (SP)
|
100% |
1013
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
443
591.1 IPS |
|
|
Text Classification (Q)
|
97% |
828
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
463
7.98 IPS |
|
|
Machine Translation (Q)
|
68% |
1731
33.4 IPS |
