Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7
Geekbench AI Score
37915
Single Precision Score
63416
Half Precision Score
28489
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 05:50 AM |
| Views | 6 |
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 |
| 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% |
15314
2.85 KIPS |
|
|
Image Classification (HP)
|
100% |
22680
4.22 KIPS |
|
|
Image Classification (Q)
|
100% |
13237
2.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25518
413.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
35493
575.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
23837
387.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
240802
281.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
720464
840.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
204990
240.1 IPS |
|
|
Object Detection (SP)
|
100% |
20704
1.64 KIPS |
|
|
Object Detection (HP)
|
100% |
32783
2.60 KIPS |
|
|
Object Detection (Q)
|
86% |
17445
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
56943
676.6 IPS |
|
|
Face Detection (HP)
|
100% |
82441
979.6 IPS |
|
|
Face Detection (Q)
|
97% |
46236
551.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
92901
715.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
178288
1.37 KIPS |
|
|
Depth Estimation (Q)
|
78% |
67600
539.8 IPS |
|
|
Style Transfer (SP)
|
100% |
358233
460.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1172470
1.51 KIPS |
|
|
Style Transfer (Q)
|
98% |
310158
399.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58872
2.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
90399
3.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43541
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
4235
5.65 KIPS |
|
|
Text Classification (HP)
|
100% |
5332
7.12 KIPS |
|
|
Text Classification (Q)
|
97% |
2469
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
6670
114.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6661
114.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2996
56.2 IPS |
