Gigabyte Technology Co., Ltd. X570 AORUS ELITE
Geekbench AI Score
1169
Single Precision Score
610
Half Precision Score
1933
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | hjortshoej |
| Upload Date | May 23 2025 07:12 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
595
110.7 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (Q)
|
96% |
1422
265.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
617
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
335
5.43 IPS |
|
|
Image Segmentation (Q)
|
97% |
1248
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2117
2.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
1671
1.95 IPS |
|
|
Pose Estimation (Q)
|
86% |
4666
5.52 IPS |
|
|
Object Detection (SP)
|
100% |
834
66.1 IPS |
|
|
Object Detection (HP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
58% |
869
94.9 IPS |
|
|
Face Detection (SP)
|
100% |
1444
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
635
7.54 IPS |
|
|
Face Detection (Q)
|
96% |
3741
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2672
20.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
837
6.45 IPS |
|
|
Depth Estimation (Q)
|
78% |
4397
35.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5859
7.53 IPS |
|
|
Style Transfer (HP)
|
100% |
4152
5.34 IPS |
|
|
Style Transfer (Q)
|
87% |
6745
8.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
590
21.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
658
24.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
975
36.1 IPS |
|
|
Text Classification (SP)
|
100% |
652
869.6 IPS |
|
|
Text Classification (HP)
|
100% |
326
435.4 IPS |
|
|
Text Classification (Q)
|
97% |
811
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.57 IPS |
|
|
Machine Translation (Q)
|
68% |
1154
22.3 IPS |
