Gigabyte Technology Co., Ltd. X570S AORUS ELITE
Geekbench AI Score
3419
Single Precision Score
1495
Half Precision Score
4389
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 04 2025 01:18 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800XT 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570S AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. X570S AORUS ELITE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800XT 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2971
552.5 IPS |
|
|
Image Classification (HP)
|
100% |
565
105.1 IPS |
|
|
Image Classification (Q)
|
96% |
4946
923.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1764
28.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
850
13.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
3535
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4843
5.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
3933
4.59 IPS |
|
|
Pose Estimation (Q)
|
86% |
11322
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
2677
212.4 IPS |
|
|
Object Detection (HP)
|
100% |
769
61.0 IPS |
|
|
Object Detection (Q)
|
58% |
2596
283.6 IPS |
|
|
Face Detection (SP)
|
100% |
5100
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
1382
16.4 IPS |
|
|
Face Detection (Q)
|
96% |
7107
84.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5718
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1894
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10036
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12085
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10066
12.9 IPS |
|
|
Style Transfer (Q)
|
87% |
14372
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2023
74.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1906
70.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4260
157.9 IPS |
|
|
Text Classification (SP)
|
100% |
1905
2.54 KIPS |
|
|
Text Classification (HP)
|
100% |
932
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
409
548.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2366
40.8 IPS |
|
|
Machine Translation (HP)
|
100% |
823
14.2 IPS |
|
|
Machine Translation (Q)
|
68% |
2893
55.9 IPS |
