Gigabyte Technology Co., Ltd. X870E AORUS MASTER
Geekbench AI Score
20985
Single Precision Score
38964
Half Precision Score
15563
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | June 27 2025 09:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| 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% |
8619
1.60 KIPS |
|
|
Image Classification (HP)
|
100% |
16399
3.05 KIPS |
|
|
Image Classification (Q)
|
100% |
7409
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14528
235.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22036
357.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13587
220.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
104295
121.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
326086
380.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
84781
99.4 IPS |
|
|
Object Detection (SP)
|
100% |
11420
905.8 IPS |
|
|
Object Detection (HP)
|
100% |
19119
1.52 KIPS |
|
|
Object Detection (Q)
|
89% |
9362
749.6 IPS |
|
|
Face Detection (SP)
|
100% |
25424
302.1 IPS |
|
|
Face Detection (HP)
|
100% |
42902
509.8 IPS |
|
|
Face Detection (Q)
|
97% |
20608
245.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
50930
392.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
102583
790.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
39979
321.4 IPS |
|
|
Style Transfer (SP)
|
100% |
158558
203.8 IPS |
|
|
Style Transfer (HP)
|
100% |
562496
723.1 IPS |
|
|
Style Transfer (Q)
|
98% |
135092
174.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30465
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60625
2.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23422
867.3 IPS |
|
|
Text Classification (SP)
|
100% |
3720
4.96 KIPS |
|
|
Text Classification (HP)
|
100% |
4562
6.09 KIPS |
|
|
Text Classification (Q)
|
97% |
2335
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4774
82.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5230
90.1 IPS |
|
|
Machine Translation (Q)
|
60% |
1714
38.2 IPS |
