Gigabyte Technology Co., Ltd. X870E AORUS MASTER
Geekbench AI Score
24241
Single Precision Score
37045
Half Precision Score
20483
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | June 28 2025 10:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9060 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% |
11543
2.15 KIPS |
|
|
Image Classification (HP)
|
100% |
14369
2.67 KIPS |
|
|
Image Classification (Q)
|
100% |
11088
2.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11062
179.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
13495
218.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15078
245.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
132227
154.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
441465
515.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
115128
134.9 IPS |
|
|
Object Detection (SP)
|
100% |
10341
820.2 IPS |
|
|
Object Detection (HP)
|
99% |
15584
1.24 KIPS |
|
|
Object Detection (Q)
|
89% |
9243
739.8 IPS |
|
|
Face Detection (SP)
|
100% |
26950
320.2 IPS |
|
|
Face Detection (HP)
|
100% |
37687
447.8 IPS |
|
|
Face Detection (Q)
|
97% |
21994
262.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
65956
508.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
91037
701.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
52886
426.4 IPS |
|
|
Style Transfer (SP)
|
100% |
247073
317.6 IPS |
|
|
Style Transfer (HP)
|
100% |
492703
633.4 IPS |
|
|
Style Transfer (Q)
|
98% |
211525
272.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40357
1.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75282
2.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33827
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
4479
5.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5346
7.14 KIPS |
|
|
Text Classification (Q)
|
97% |
3300
4.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5056
87.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5364
92.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2661
59.3 IPS |
