Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7
Geekbench AI Score
3344
Single Precision Score
913
Half Precision Score
7669
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| Upload Date | January 18 2026 11:36 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900X |
| System Information | |
|---|---|
| Operating System | Fedora Linux 43 (Workstation Edition) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.74 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 61.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1492
277.6 IPS |
|
|
Image Classification (HP)
|
100% |
138
25.7 IPS |
|
|
Image Classification (Q)
|
97% |
7958
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1658
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
303
4.92 IPS |
|
|
Image Segmentation (Q)
|
99% |
3475
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8460
9.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
5337
6.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
27375
32.1 IPS |
|
|
Object Detection (SP)
|
100% |
1682
133.5 IPS |
|
|
Object Detection (HP)
|
100% |
297
23.6 IPS |
|
|
Object Detection (Q)
|
86% |
9525
765.5 IPS |
|
|
Face Detection (SP)
|
100% |
3061
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
352
4.18 IPS |
|
|
Face Detection (Q)
|
97% |
15220
181.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6946
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1184
9.12 IPS |
|
|
Depth Estimation (Q)
|
78% |
14176
113.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19116
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17140
22.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21425
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2578
95.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2537
93.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3896
144.3 IPS |
|
|
Text Classification (SP)
|
100% |
1735
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
588
784.7 IPS |
|
|
Text Classification (Q)
|
97% |
1462
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2739
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
574
9.88 IPS |
|
|
Machine Translation (Q)
|
65% |
3710
74.6 IPS |
