Gigabyte Technology Co., Ltd. X870E AORUS XTREME AI TOP
Geekbench AI Score
13498
Single Precision Score
13497
Half Precision Score
30293
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 09:41 PM |
| Views | 7 |
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% |
6441
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
6509
1.21 KIPS |
|
|
Image Classification (Q)
|
100% |
14023
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8908
144.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8926
144.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
20904
338.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
29180
34.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
29326
34.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
117153
137.2 IPS |
|
|
Object Detection (SP)
|
100% |
7830
621.1 IPS |
|
|
Object Detection (HP)
|
100% |
7826
620.7 IPS |
|
|
Object Detection (Q)
|
88% |
17005
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
18353
218.1 IPS |
|
|
Face Detection (HP)
|
100% |
18056
214.5 IPS |
|
|
Face Detection (Q)
|
100% |
48010
570.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
23226
178.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
22338
172.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
59527
463.2 IPS |
|
|
Style Transfer (SP)
|
100% |
76809
98.7 IPS |
|
|
Style Transfer (HP)
|
100% |
77054
99.1 IPS |
|
|
Style Transfer (Q)
|
98% |
268815
346.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14403
531.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14297
527.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37022
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
4778
6.38 KIPS |
|
|
Text Classification (HP)
|
100% |
4898
6.54 KIPS |
|
|
Text Classification (Q)
|
92% |
5937
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
6800
117.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6915
119.1 IPS |
|
|
Machine Translation (Q)
|
100% |
6600
113.7 IPS |
