To Be Filled By O.E.M. B550M Steel Legend
Geekbench AI Score
88
Single Precision Score
88
Half Precision Score
59
Quantized Score
Geekbench AI 1.6.0 for Linux x86 (64-bit)
Result Information
| Upload Date | January 30 2026 08:10 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 5700G |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | To Be Filled By O.E.M. 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 | 4.67 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 29.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
54
10.0 IPS |
|
|
Image Classification (HP)
|
100% |
53
9.86 IPS |
|
|
Image Classification (Q)
|
97% |
38
7.08 IPS |
|
|
Image Segmentation (SP)
|
100% |
70
1.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
70
1.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
48
0.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
82
0.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
81
0.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
61
0.07 IPS |
|
|
Object Detection (SP)
|
100% |
48
3.83 IPS |
|
|
Object Detection (HP)
|
100% |
48
3.81 IPS |
|
|
Object Detection (Q)
|
87% |
35
2.81 IPS |
|
|
Face Detection (SP)
|
100% |
164
1.94 IPS |
|
|
Face Detection (HP)
|
100% |
164
1.95 IPS |
|
|
Face Detection (Q)
|
97% |
117
1.39 IPS |
|
|
Depth Estimation (SP)
|
100% |
117
0.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
117
0.90 IPS |
|
|
Depth Estimation (Q)
|
64% |
72
0.67 IPS |
|
|
Style Transfer (SP)
|
100% |
245
0.31 IPS |
|
|
Style Transfer (HP)
|
100% |
245
0.31 IPS |
|
|
Style Transfer (Q)
|
98% |
186
0.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53
1.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53
1.96 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
38
1.43 IPS |
|
|
Text Classification (SP)
|
100% |
66
87.7 IPS |
|
|
Text Classification (HP)
|
100% |
66
87.9 IPS |
|
|
Text Classification (Q)
|
91% |
45
60.0 IPS |
|
|
Machine Translation (SP)
|
100% |
122
2.10 IPS |
|
|
Machine Translation (HP)
|
100% |
122
2.11 IPS |
|
|
Machine Translation (Q)
|
58% |
57
1.37 IPS |
