Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 ICE
Geekbench AI Score
5343
Single Precision Score
2116
Half Precision Score
10186
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 08 2025 01:12 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 ICE |
| Motherboard | Gigabyte Technology Co., Ltd. X870 AORUS ELITE WIFI7 ICE |
| Power Plan | Utilisation normale |
| 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% |
4471
831.4 IPS |
|
|
Image Classification (HP)
|
100% |
784
145.9 IPS |
|
|
Image Classification (Q)
|
99% |
8919
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2491
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1066
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11158
181.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6918
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
5991
6.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
28124
33.0 IPS |
|
|
Object Detection (SP)
|
100% |
3805
301.8 IPS |
|
|
Object Detection (HP)
|
100% |
980
77.8 IPS |
|
|
Object Detection (Q)
|
86% |
9005
723.7 IPS |
|
|
Face Detection (SP)
|
100% |
11715
139.2 IPS |
|
|
Face Detection (HP)
|
100% |
2252
26.8 IPS |
|
|
Face Detection (Q)
|
97% |
11768
140.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10306
79.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2888
22.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
21086
168.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18817
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14918
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30525
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3204
118.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2872
106.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7035
260.5 IPS |
|
|
Text Classification (SP)
|
100% |
2417
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1079
1.44 KIPS |
|
|
Text Classification (Q)
|
97% |
1883
2.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3682
63.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1222
21.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4756
95.6 IPS |
