Gigabyte Technology Co., Ltd. B550 AORUS PRO AC
Geekbench AI Score
2646
Single Precision Score
1160
Half Precision Score
2826
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | ultrasarker |
| Upload Date | August 04 2025 01:00 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS PRO AC |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS PRO AC |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2067
384.4 IPS |
|
|
Image Classification (HP)
|
100% |
450
83.8 IPS |
|
|
Image Classification (Q)
|
96% |
2280
425.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1123
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
492
7.97 IPS |
|
|
Image Segmentation (Q)
|
97% |
2734
44.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4964
5.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
3937
4.59 IPS |
|
|
Pose Estimation (Q)
|
86% |
4834
5.71 IPS |
|
|
Object Detection (SP)
|
100% |
1957
155.2 IPS |
|
|
Object Detection (HP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (Q)
|
58% |
1649
180.1 IPS |
|
|
Face Detection (SP)
|
100% |
4025
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
1204
14.3 IPS |
|
|
Face Detection (Q)
|
96% |
4911
58.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5837
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1690
13.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
5280
42.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10927
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
8599
11.1 IPS |
|
|
Style Transfer (Q)
|
87% |
9685
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1659
61.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1553
57.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1718
63.7 IPS |
|
|
Text Classification (SP)
|
100% |
1041
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
501
669.0 IPS |
|
|
Text Classification (Q)
|
97% |
774
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1688
29.1 IPS |
|
|
Machine Translation (HP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (Q)
|
68% |
1961
37.9 IPS |
