Gigabyte Technology Co., Ltd. B550 AORUS PRO AC
Geekbench AI Score
83
Single Precision Score
83
Half Precision Score
59
Quantized Score
Geekbench AI 1.0.0 for Linux x86 (64-bit)
Result Information
| User | malasa |
| Upload Date | August 16 2024 02:57 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.4 LTS |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS PRO AC |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS PRO AC |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 4.66 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
49
9.15 IPS |
|
|
Image Classification (HP)
|
100% |
49
9.10 IPS |
|
|
Image Classification (Q)
|
97% |
36
6.78 IPS |
|
|
Image Segmentation (SP)
|
100% |
65
1.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
64
1.04 IPS |
|
|
Image Segmentation (Q)
|
98% |
48
0.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
77
0.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
77
0.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
59
0.07 IPS |
|
|
Object Detection (SP)
|
100% |
46
3.62 IPS |
|
|
Object Detection (HP)
|
100% |
45
3.60 IPS |
|
|
Object Detection (Q)
|
88% |
34
2.72 IPS |
|
|
Face Detection (SP)
|
100% |
157
1.86 IPS |
|
|
Face Detection (HP)
|
100% |
157
1.87 IPS |
|
|
Face Detection (Q)
|
97% |
115
1.37 IPS |
|
|
Depth Estimation (SP)
|
100% |
111
0.86 IPS |
|
|
Depth Estimation (HP)
|
100% |
112
0.87 IPS |
|
|
Depth Estimation (Q)
|
75% |
81
0.66 IPS |
|
|
Style Transfer (SP)
|
100% |
232
0.30 IPS |
|
|
Style Transfer (HP)
|
100% |
233
0.30 IPS |
|
|
Style Transfer (Q)
|
98% |
181
0.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51
1.89 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51
1.88 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
38
1.42 IPS |
|
|
Text Classification (SP)
|
100% |
62
83.0 IPS |
|
|
Text Classification (HP)
|
100% |
63
84.0 IPS |
|
|
Text Classification (Q)
|
91% |
44
59.2 IPS |
|
|
Machine Translation (SP)
|
100% |
115
1.98 IPS |
|
|
Machine Translation (HP)
|
100% |
114
1.97 IPS |
|
|
Machine Translation (Q)
|
58% |
56
1.33 IPS |
