Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7
Geekbench AI Score
37281
Single Precision Score
62249
Half Precision Score
28466
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 12:51 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7 |
| Power Plan | Balanced |
| 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% |
14842
2.76 KIPS |
|
|
Image Classification (HP)
|
100% |
21957
4.08 KIPS |
|
|
Image Classification (Q)
|
100% |
13148
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25174
408.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
34586
560.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
23908
388.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
239259
279.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
738149
861.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
204798
239.9 IPS |
|
|
Object Detection (SP)
|
100% |
20298
1.61 KIPS |
|
|
Object Detection (HP)
|
100% |
31495
2.50 KIPS |
|
|
Object Detection (Q)
|
86% |
17323
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
55538
659.9 IPS |
|
|
Face Detection (HP)
|
100% |
80160
952.5 IPS |
|
|
Face Detection (Q)
|
97% |
45936
547.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
91910
708.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
172854
1.33 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68203
544.6 IPS |
|
|
Style Transfer (SP)
|
100% |
355543
457.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1170037
1.50 KIPS |
|
|
Style Transfer (Q)
|
98% |
308605
397.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57650
2.13 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
89887
3.32 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44124
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
4176
5.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5262
7.02 KIPS |
|
|
Text Classification (Q)
|
97% |
2481
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
6543
112.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6454
111.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2960
55.5 IPS |
