Gigabyte Technology Co., Ltd. B550I AORUS PRO AX
Geekbench AI Score
5018
Single Precision Score
1769
Half Precision Score
5634
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | gemino |
| Upload Date | May 19 2025 10:51 AM |
| Views | 4 |
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% |
3461
643.6 IPS |
|
|
Image Classification (HP)
|
100% |
582
108.3 IPS |
|
|
Image Classification (Q)
|
96% |
6213
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
815
13.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
2885
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12959
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
8485
9.90 IPS |
|
|
Pose Estimation (Q)
|
86% |
23239
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
3951
313.4 IPS |
|
|
Object Detection (HP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (Q)
|
58% |
4607
503.3 IPS |
|
|
Face Detection (SP)
|
100% |
7616
90.5 IPS |
|
|
Face Detection (HP)
|
100% |
1606
19.1 IPS |
|
|
Face Detection (Q)
|
96% |
9683
115.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11788
90.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2633
20.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
16548
132.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26352
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22233
28.6 IPS |
|
|
Style Transfer (Q)
|
87% |
23574
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2711
100.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2150
79.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3401
126.0 IPS |
|
|
Text Classification (SP)
|
100% |
1388
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
665
887.0 IPS |
|
|
Text Classification (Q)
|
97% |
432
578.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2759
47.5 IPS |
|
|
Machine Translation (HP)
|
100% |
746
12.9 IPS |
|
|
Machine Translation (Q)
|
68% |
3026
58.5 IPS |
