Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7
Geekbench AI Score
8899
Single Precision Score
3168
Half Precision Score
11047
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | PxL7331 |
| Upload Date | July 07 2025 06:53 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel N (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7 |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4873
906.2 IPS |
|
|
Image Classification (HP)
|
100% |
1161
216.0 IPS |
|
|
Image Classification (Q)
|
99% |
14218
2.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2559
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1117
18.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7157
116.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15999
18.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12837
15.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
55032
64.5 IPS |
|
|
Object Detection (SP)
|
100% |
8198
650.2 IPS |
|
|
Object Detection (HP)
|
100% |
1346
106.7 IPS |
|
|
Object Detection (Q)
|
86% |
9302
747.6 IPS |
|
|
Face Detection (SP)
|
100% |
21020
249.8 IPS |
|
|
Face Detection (HP)
|
100% |
3339
39.7 IPS |
|
|
Face Detection (Q)
|
97% |
14577
173.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
21854
168.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3826
29.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
38074
303.8 IPS |
|
|
Style Transfer (SP)
|
100% |
37126
47.7 IPS |
|
|
Style Transfer (HP)
|
100% |
27510
35.4 IPS |
|
|
Style Transfer (Q)
|
98% |
46567
60.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6082
224.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5164
190.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6807
252.1 IPS |
|
|
Text Classification (SP)
|
100% |
3475
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1533
2.05 KIPS |
|
|
Text Classification (Q)
|
97% |
599
802.6 IPS |
|
|
Machine Translation (SP)
|
100% |
5289
91.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1636
28.2 IPS |
|
|
Machine Translation (Q)
|
65% |
4933
99.1 IPS |
