Gigabyte Technology Co., Ltd. X870E AORUS MASTER
Geekbench AI Score
14756
Single Precision Score
14567
Half Precision Score
32046
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 17 2025 03:32 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| 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 | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6981
1.30 KIPS |
|
|
Image Classification (HP)
|
100% |
7391
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
15116
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9844
159.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9430
152.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
21821
353.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
32763
38.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
33171
38.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
129396
151.5 IPS |
|
|
Object Detection (SP)
|
100% |
8413
667.3 IPS |
|
|
Object Detection (HP)
|
100% |
8560
679.0 IPS |
|
|
Object Detection (Q)
|
88% |
18306
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
20766
246.7 IPS |
|
|
Face Detection (HP)
|
100% |
19378
230.3 IPS |
|
|
Face Detection (Q)
|
100% |
46659
554.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26733
206.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
25673
197.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
64806
504.2 IPS |
|
|
Style Transfer (SP)
|
100% |
84023
108.0 IPS |
|
|
Style Transfer (HP)
|
100% |
83845
107.8 IPS |
|
|
Style Transfer (Q)
|
98% |
294967
380.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15091
557.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14760
545.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39020
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
5117
6.83 KIPS |
|
|
Text Classification (HP)
|
100% |
5191
6.93 KIPS |
|
|
Text Classification (Q)
|
92% |
6119
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
7176
123.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6806
117.2 IPS |
|
|
Machine Translation (Q)
|
100% |
6865
118.3 IPS |
