Gigabyte Technology Co., Ltd. B550I AORUS PRO AX
Geekbench AI Score
7220
Single Precision Score
7322
Half Precision Score
9410
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | gemino |
| Upload Date | May 19 2025 12:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550I AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. B550I AORUS PRO AX |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.39 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3859
717.6 IPS |
|
|
Image Classification (HP)
|
100% |
4178
777.0 IPS |
|
|
Image Classification (Q)
|
100% |
6345
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5832
94.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5615
91.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10198
165.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11572
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11702
13.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
25150
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
4748
376.6 IPS |
|
|
Object Detection (HP)
|
100% |
4899
388.6 IPS |
|
|
Object Detection (Q)
|
87% |
7238
580.5 IPS |
|
|
Face Detection (SP)
|
100% |
10829
128.7 IPS |
|
|
Face Detection (HP)
|
100% |
11108
132.0 IPS |
|
|
Face Detection (Q)
|
97% |
22870
272.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12688
97.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
12523
96.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
23015
181.5 IPS |
|
|
Style Transfer (SP)
|
100% |
33798
43.4 IPS |
|
|
Style Transfer (HP)
|
100% |
33782
43.4 IPS |
|
|
Style Transfer (Q)
|
98% |
70671
91.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6772
250.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6652
245.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13211
489.3 IPS |
|
|
Text Classification (SP)
|
100% |
2900
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3026
4.04 KIPS |
|
|
Text Classification (Q)
|
91% |
271
364.7 IPS |
|
|
Machine Translation (SP)
|
100% |
3415
58.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3482
60.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3474
59.8 IPS |
