Gigabyte Technology Co., Ltd. B550M AORUS ELITE
Geekbench AI Score
67
Single Precision Score
67
Half Precision Score
46
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | jhovala |
| Upload Date | March 30 2025 10:07 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 5600 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Gigabyte Technology Co., Ltd. B550M AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B550M AORUS ELITE |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 5.12 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
39
7.29 IPS |
|
|
Image Classification (HP)
|
100% |
39
7.28 IPS |
|
|
Image Classification (Q)
|
97% |
28
5.27 IPS |
|
|
Image Segmentation (SP)
|
100% |
53
0.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
54
0.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
39
0.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
62
0.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
62
0.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
47
0.05 IPS |
|
|
Object Detection (SP)
|
100% |
37
2.92 IPS |
|
|
Object Detection (HP)
|
100% |
37
2.91 IPS |
|
|
Object Detection (Q)
|
87% |
27
2.14 IPS |
|
|
Face Detection (SP)
|
100% |
124
1.47 IPS |
|
|
Face Detection (HP)
|
100% |
123
1.46 IPS |
|
|
Face Detection (Q)
|
97% |
91
1.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
90
0.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
89
0.69 IPS |
|
|
Depth Estimation (Q)
|
64% |
55
0.51 IPS |
|
|
Style Transfer (SP)
|
100% |
196
0.25 IPS |
|
|
Style Transfer (HP)
|
100% |
192
0.25 IPS |
|
|
Style Transfer (Q)
|
98% |
144
0.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41
1.53 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41
1.52 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
30
1.11 IPS |
|
|
Text Classification (SP)
|
100% |
51
67.5 IPS |
|
|
Text Classification (HP)
|
100% |
50
67.1 IPS |
|
|
Text Classification (Q)
|
91% |
35
47.0 IPS |
|
|
Machine Translation (SP)
|
100% |
88
1.52 IPS |
|
|
Machine Translation (HP)
|
100% |
88
1.52 IPS |
|
|
Machine Translation (Q)
|
58% |
43
1.02 IPS |
