Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7
Geekbench AI Score
9220
Single Precision Score
3284
Half Precision Score
15100
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 06 2026 06:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (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% |
8352
1.55 KIPS |
|
|
Image Classification (HP)
|
100% |
1176
218.7 IPS |
|
|
Image Classification (Q)
|
99% |
14639
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2506
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1746
28.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
17830
289.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14665
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
11300
13.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
53503
62.7 IPS |
|
|
Object Detection (SP)
|
100% |
8283
657.0 IPS |
|
|
Object Detection (HP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (Q)
|
86% |
15077
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
21010
249.6 IPS |
|
|
Face Detection (HP)
|
100% |
3397
40.4 IPS |
|
|
Face Detection (Q)
|
97% |
15859
189.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19975
153.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
4559
35.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
37922
302.6 IPS |
|
|
Style Transfer (SP)
|
100% |
34996
45.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25344
32.6 IPS |
|
|
Style Transfer (Q)
|
98% |
44932
57.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6055
223.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4663
172.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6933
256.7 IPS |
|
|
Text Classification (SP)
|
100% |
3488
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
1534
2.05 KIPS |
|
|
Text Classification (Q)
|
97% |
2617
3.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5630
97.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1604
27.6 IPS |
|
|
Machine Translation (Q)
|
65% |
5970
120.0 IPS |
