Gigabyte Technology Co., Ltd. X870 EAGLE WIFI7
Geekbench AI Score
5188
Single Precision Score
2049
Half Precision Score
8660
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 05:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870 EAGLE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870 EAGLE WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4305
800.6 IPS |
|
|
Image Classification (HP)
|
100% |
751
139.7 IPS |
|
|
Image Classification (Q)
|
99% |
8524
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2443
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1022
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3922
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7634
8.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
6280
7.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
26733
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
4103
325.4 IPS |
|
|
Object Detection (HP)
|
100% |
952
75.6 IPS |
|
|
Object Detection (Q)
|
86% |
8818
708.7 IPS |
|
|
Face Detection (SP)
|
100% |
10613
126.1 IPS |
|
|
Face Detection (HP)
|
100% |
2257
26.8 IPS |
|
|
Face Detection (Q)
|
97% |
10800
128.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10897
84.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2976
22.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
21117
168.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19184
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15936
20.5 IPS |
|
|
Style Transfer (Q)
|
98% |
31810
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3208
118.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2922
107.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4662
172.6 IPS |
|
|
Text Classification (SP)
|
100% |
1945
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
951
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1996
2.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3103
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4462
89.7 IPS |
