Gigabyte Technology Co., Ltd. X870E AORUS MASTER
Geekbench AI Score
29586
Single Precision Score
36435
Half Precision Score
23458
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 16 2025 05:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7800 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS MASTER |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13276
2.47 KIPS |
|
|
Image Classification (HP)
|
100% |
13417
2.50 KIPS |
|
|
Image Classification (Q)
|
99% |
10917
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21381
346.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17435
282.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
18719
304.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
184394
215.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
328491
383.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
160462
188.0 IPS |
|
|
Object Detection (SP)
|
100% |
12467
988.9 IPS |
|
|
Object Detection (HP)
|
99% |
15813
1.25 KIPS |
|
|
Object Detection (Q)
|
87% |
11331
910.1 IPS |
|
|
Face Detection (SP)
|
100% |
42103
500.3 IPS |
|
|
Face Detection (HP)
|
100% |
52371
622.3 IPS |
|
|
Face Detection (Q)
|
97% |
39451
470.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
65862
507.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
84761
653.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
56495
452.7 IPS |
|
|
Style Transfer (SP)
|
100% |
327898
421.5 IPS |
|
|
Style Transfer (HP)
|
100% |
520469
669.1 IPS |
|
|
Style Transfer (Q)
|
98% |
288784
372.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38290
1.41 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59386
2.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29460
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3768
5.03 KIPS |
|
|
Text Classification (HP)
|
100% |
4058
5.42 KIPS |
|
|
Text Classification (Q)
|
97% |
2467
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
6004
103.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6095
105.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2904
54.5 IPS |
