Gigabyte Technology Co., Ltd. B550I AORUS PRO AX
Geekbench AI Score
4829
Single Precision Score
1681
Half Precision Score
5574
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | gemino |
| Upload Date | May 19 2025 12:06 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| 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% |
3412
634.5 IPS |
|
|
Image Classification (HP)
|
100% |
562
104.5 IPS |
|
|
Image Classification (Q)
|
96% |
6444
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2242
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
782
12.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
2854
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11863
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
7483
8.73 IPS |
|
|
Pose Estimation (Q)
|
86% |
21836
25.8 IPS |
|
|
Object Detection (SP)
|
100% |
3790
300.6 IPS |
|
|
Object Detection (HP)
|
100% |
711
56.4 IPS |
|
|
Object Detection (Q)
|
58% |
4475
488.9 IPS |
|
|
Face Detection (SP)
|
100% |
7721
91.7 IPS |
|
|
Face Detection (HP)
|
100% |
1578
18.8 IPS |
|
|
Face Detection (Q)
|
96% |
9652
115.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11793
90.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2580
19.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
16548
132.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24275
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20733
26.7 IPS |
|
|
Style Transfer (Q)
|
87% |
23064
30.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2634
97.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2018
74.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3368
124.8 IPS |
|
|
Text Classification (SP)
|
100% |
1309
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
614
818.9 IPS |
|
|
Text Classification (Q)
|
97% |
430
575.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2631
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
738
12.7 IPS |
|
|
Machine Translation (Q)
|
68% |
3024
58.4 IPS |
