Gigabyte Technology Co., Ltd. X570 AORUS ULTRA
Geekbench AI Score
6084
Single Precision Score
6090
Half Precision Score
8101
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BengtC |
| Upload Date | April 19 2025 08:11 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ULTRA |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ULTRA |
| Power Plan | Hg prestanda |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3589
667.5 IPS |
|
|
Image Classification (HP)
|
100% |
3522
655.0 IPS |
|
|
Image Classification (Q)
|
100% |
5362
997.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5010
81.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4827
78.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7806
126.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9078
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9416
11.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
20068
23.5 IPS |
|
|
Object Detection (SP)
|
100% |
3863
306.4 IPS |
|
|
Object Detection (HP)
|
100% |
3926
311.4 IPS |
|
|
Object Detection (Q)
|
87% |
6315
506.5 IPS |
|
|
Face Detection (SP)
|
100% |
8712
103.5 IPS |
|
|
Face Detection (HP)
|
100% |
8890
105.6 IPS |
|
|
Face Detection (Q)
|
97% |
18199
217.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10153
78.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10071
77.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
17975
141.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27536
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
27102
34.8 IPS |
|
|
Style Transfer (Q)
|
98% |
55946
72.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5475
202.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5448
201.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10328
382.6 IPS |
|
|
Text Classification (SP)
|
100% |
2656
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
2742
3.66 KIPS |
|
|
Text Classification (Q)
|
91% |
399
536.7 IPS |
|
|
Machine Translation (SP)
|
100% |
3115
53.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3084
53.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3043
52.4 IPS |
