Gigabyte Technology Co., Ltd. X870E AORUS ELITE WIFI7
Geekbench AI Score
43295
Single Precision Score
63540
Half Precision Score
34637
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | February 22 2026 10:58 AM |
| 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% |
20516
3.82 KIPS |
|
|
Image Classification (HP)
|
100% |
22406
4.17 KIPS |
|
|
Image Classification (Q)
|
99% |
17846
3.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
33209
538.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
43850
710.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
31064
505.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
221660
258.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
699568
816.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
193738
226.9 IPS |
|
|
Object Detection (SP)
|
100% |
17760
1.41 KIPS |
|
|
Object Detection (HP)
|
99% |
26478
2.10 KIPS |
|
|
Object Detection (Q)
|
87% |
15726
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
63372
753.0 IPS |
|
|
Face Detection (HP)
|
100% |
77550
921.5 IPS |
|
|
Face Detection (Q)
|
97% |
55409
660.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
93882
723.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
147501
1.14 KIPS |
|
|
Depth Estimation (Q)
|
77% |
77187
618.6 IPS |
|
|
Style Transfer (SP)
|
100% |
422544
543.2 IPS |
|
|
Style Transfer (HP)
|
100% |
782264
1.01 KIPS |
|
|
Style Transfer (Q)
|
98% |
374278
482.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59675
2.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
104534
3.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47228
1.75 KIPS |
|
|
Text Classification (SP)
|
100% |
6195
8.27 KIPS |
|
|
Text Classification (HP)
|
100% |
6751
9.01 KIPS |
|
|
Text Classification (Q)
|
97% |
3988
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
9284
159.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9335
160.8 IPS |
|
|
Machine Translation (Q)
|
70% |
4882
91.6 IPS |
