Gigabyte Technology Co., Ltd. B550I AORUS PRO AX
Geekbench AI Score
2810
Single Precision Score
2735
Half Precision Score
3692
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Enter1399 |
| Upload Date | October 19 2025 05:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550I AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. B550I AORUS PRO AX |
| Power Plan | 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1932
359.4 IPS |
|
|
Image Classification (HP)
|
100% |
1809
336.4 IPS |
|
|
Image Classification (Q)
|
100% |
2638
490.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1077
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2139
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5071
5.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
3944
4.60 IPS |
|
|
Pose Estimation (Q)
|
94% |
6498
7.62 IPS |
|
|
Object Detection (SP)
|
100% |
1673
132.7 IPS |
|
|
Object Detection (HP)
|
100% |
1731
137.3 IPS |
|
|
Object Detection (Q)
|
87% |
2663
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
3286
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
3344
39.7 IPS |
|
|
Face Detection (Q)
|
97% |
8640
103.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5067
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4431
34.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
6932
54.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13696
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13321
17.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18269
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2569
94.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2467
91.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3648
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
1435
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1628
2.17 KIPS |
|
|
Text Classification (Q)
|
91% |
546
733.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2069
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2284
39.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2212
38.1 IPS |
