B450 Steel Legend
Geekbench AI Score
3887
Single Precision Score
3890
Half Precision Score
6335
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Luk30002as |
| Upload Date | May 16 2025 07:53 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B450 Steel Legend |
| Motherboard | ASRock B450 Steel Legend |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2417
449.4 IPS |
|
|
Image Classification (HP)
|
100% |
2416
449.3 IPS |
|
|
Image Classification (Q)
|
100% |
4016
746.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2738
44.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2685
43.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4497
73.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4985
5.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4978
5.81 IPS |
|
|
Pose Estimation (Q)
|
94% |
10599
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
2336
185.3 IPS |
|
|
Object Detection (HP)
|
100% |
2352
186.6 IPS |
|
|
Object Detection (Q)
|
87% |
4233
339.5 IPS |
|
|
Face Detection (SP)
|
100% |
4109
48.8 IPS |
|
|
Face Detection (HP)
|
100% |
4160
49.4 IPS |
|
|
Face Detection (Q)
|
97% |
11797
140.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6382
49.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6365
49.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
11277
88.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14100
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14284
18.4 IPS |
|
|
Style Transfer (Q)
|
98% |
29337
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2883
106.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2854
105.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6113
226.4 IPS |
|
|
Text Classification (SP)
|
100% |
2430
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2432
3.25 KIPS |
|
|
Text Classification (Q)
|
91% |
1385
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3952
68.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3989
68.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3890
67.0 IPS |
