Gigabyte Technology Co., Ltd. B550 AORUS MASTER
Geekbench AI Score
4821
Single Precision Score
4829
Half Precision Score
5424
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | yee245 |
| Upload Date | October 09 2025 05:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS MASTER |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2766
514.4 IPS |
|
|
Image Classification (HP)
|
100% |
2779
516.9 IPS |
|
|
Image Classification (Q)
|
100% |
3718
691.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5516
89.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9259
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
9231
10.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
10560
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
3020
239.6 IPS |
|
|
Object Detection (HP)
|
100% |
3028
240.2 IPS |
|
|
Object Detection (Q)
|
87% |
4228
339.1 IPS |
|
|
Face Detection (SP)
|
100% |
7458
88.6 IPS |
|
|
Face Detection (HP)
|
100% |
7370
87.6 IPS |
|
|
Face Detection (Q)
|
97% |
13736
163.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8219
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8380
64.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
11156
88.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25415
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25644
33.0 IPS |
|
|
Style Transfer (Q)
|
98% |
30380
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4912
181.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4917
181.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5892
218.2 IPS |
|
|
Text Classification (SP)
|
100% |
2226
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
2198
2.93 KIPS |
|
|
Text Classification (Q)
|
91% |
323
434.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2849
49.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2867
49.4 IPS |
|
|
Machine Translation (Q)
|
100% |
2721
46.9 IPS |
