Gigabyte Technology Co., Ltd. X870E AORUS MASTER
Geekbench AI Score
14701
Single Precision Score
14716
Half Precision Score
32327
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | May 17 2025 03:35 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% |
7027
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
7126
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
15238
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9663
156.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9524
154.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21938
355.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
32760
38.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32846
38.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
129821
152.0 IPS |
|
|
Object Detection (SP)
|
100% |
8518
675.6 IPS |
|
|
Object Detection (HP)
|
100% |
8210
651.2 IPS |
|
|
Object Detection (Q)
|
88% |
18380
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
20009
237.7 IPS |
|
|
Face Detection (HP)
|
100% |
18944
225.1 IPS |
|
|
Face Detection (Q)
|
100% |
48222
573.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
26536
204.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
27300
210.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
65621
510.6 IPS |
|
|
Style Transfer (SP)
|
100% |
84518
108.6 IPS |
|
|
Style Transfer (HP)
|
100% |
84787
109.0 IPS |
|
|
Style Transfer (Q)
|
98% |
298380
384.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15297
564.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15558
574.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39260
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
4994
6.67 KIPS |
|
|
Text Classification (HP)
|
100% |
5090
6.79 KIPS |
|
|
Text Classification (Q)
|
92% |
6039
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
7263
125.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7500
129.2 IPS |
|
|
Machine Translation (Q)
|
100% |
6981
120.3 IPS |
