Gigabyte Technology Co., Ltd. B550I AORUS PRO AX
Geekbench AI Score
7748
Single Precision Score
7650
Half Precision Score
9879
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | gemino |
| Upload Date | May 19 2025 10:57 AM |
| Views | 8 |
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% |
4277
795.4 IPS |
|
|
Image Classification (HP)
|
100% |
4148
771.4 IPS |
|
|
Image Classification (Q)
|
100% |
6492
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6272
101.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6062
98.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10576
171.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13660
15.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
13309
15.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
28612
33.6 IPS |
|
|
Object Detection (SP)
|
100% |
5054
400.9 IPS |
|
|
Object Detection (HP)
|
100% |
5077
402.7 IPS |
|
|
Object Detection (Q)
|
87% |
7443
596.9 IPS |
|
|
Face Detection (SP)
|
100% |
9938
118.1 IPS |
|
|
Face Detection (HP)
|
100% |
9733
115.6 IPS |
|
|
Face Detection (Q)
|
97% |
23449
279.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
13184
101.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
12763
98.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
24050
189.6 IPS |
|
|
Style Transfer (SP)
|
100% |
38870
50.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38977
50.1 IPS |
|
|
Style Transfer (Q)
|
98% |
78953
101.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7367
272.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7387
272.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13295
492.4 IPS |
|
|
Text Classification (SP)
|
100% |
3028
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3049
4.07 KIPS |
|
|
Text Classification (Q)
|
91% |
283
380.4 IPS |
|
|
Machine Translation (SP)
|
100% |
3706
63.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3707
63.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3615
62.3 IPS |
