Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7
Geekbench AI Score
42863
Single Precision Score
63140
Half Precision Score
34739
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | February 21 2026 09:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| 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 | Hj ydeevne |
| 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% |
20455
3.80 KIPS |
|
|
Image Classification (HP)
|
100% |
22541
4.19 KIPS |
|
|
Image Classification (Q)
|
99% |
17863
3.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
32866
532.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
42865
694.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
30874
502.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
219505
256.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
692648
808.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
197144
230.9 IPS |
|
|
Object Detection (SP)
|
100% |
17557
1.39 KIPS |
|
|
Object Detection (HP)
|
99% |
26295
2.09 KIPS |
|
|
Object Detection (Q)
|
87% |
15887
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
63584
755.5 IPS |
|
|
Face Detection (HP)
|
100% |
76876
913.5 IPS |
|
|
Face Detection (Q)
|
97% |
55647
663.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
93283
718.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
146284
1.13 KIPS |
|
|
Depth Estimation (Q)
|
77% |
77084
617.7 IPS |
|
|
Style Transfer (SP)
|
100% |
407717
524.1 IPS |
|
|
Style Transfer (HP)
|
100% |
789440
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
373621
481.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59238
2.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
104269
3.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46735
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
6090
8.13 KIPS |
|
|
Text Classification (HP)
|
100% |
6573
8.77 KIPS |
|
|
Text Classification (Q)
|
97% |
4007
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
9261
159.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9405
162.0 IPS |
|
|
Machine Translation (Q)
|
70% |
4938
92.6 IPS |
