Gigabyte Technology Co., Ltd. X870E AORUS XTREME AI TOP
Geekbench AI Score
13431
Single Precision Score
13296
Half Precision Score
30562
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 25 2024 10:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X870E AORUS XTREME AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. X870E AORUS XTREME AI TOP |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6948
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
6565
1.22 KIPS |
|
|
Image Classification (Q)
|
100% |
14346
2.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8580
139.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8604
139.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
21206
343.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29265
34.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
29087
33.9 IPS |
|
|
Pose Estimation (Q)
|
98% |
116103
135.9 IPS |
|
|
Object Detection (SP)
|
100% |
7764
615.8 IPS |
|
|
Object Detection (HP)
|
100% |
7543
598.3 IPS |
|
|
Object Detection (Q)
|
88% |
17169
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
18087
214.9 IPS |
|
|
Face Detection (HP)
|
100% |
16844
200.1 IPS |
|
|
Face Detection (Q)
|
100% |
46748
555.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
22523
173.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22554
173.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
63622
495.0 IPS |
|
|
Style Transfer (SP)
|
100% |
76761
98.7 IPS |
|
|
Style Transfer (HP)
|
100% |
76003
97.7 IPS |
|
|
Style Transfer (Q)
|
98% |
265102
341.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13826
510.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14047
518.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37023
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
4659
6.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4990
6.66 KIPS |
|
|
Text Classification (Q)
|
92% |
5967
8.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
7003
120.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6885
118.6 IPS |
|
|
Machine Translation (Q)
|
100% |
6731
116.0 IPS |
