Gigabyte Technology Co., Ltd. X570S AORUS MASTER
Geekbench AI Score
3743
Single Precision Score
1632
Half Precision Score
4297
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Creapure |
| Upload Date | March 24 2025 09:16 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC Evaluation (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570S AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X570S AORUS MASTER |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3090
574.7 IPS |
|
|
Image Classification (HP)
|
100% |
614
114.1 IPS |
|
|
Image Classification (Q)
|
96% |
4471
834.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1862
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
829
13.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
1978
32.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4708
5.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
4234
4.94 IPS |
|
|
Pose Estimation (Q)
|
86% |
10908
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
2759
218.9 IPS |
|
|
Object Detection (HP)
|
100% |
836
66.3 IPS |
|
|
Object Detection (Q)
|
58% |
2938
321.0 IPS |
|
|
Face Detection (SP)
|
100% |
6727
79.9 IPS |
|
|
Face Detection (HP)
|
100% |
1859
22.1 IPS |
|
|
Face Detection (Q)
|
96% |
8184
97.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7084
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2348
18.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
10351
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12612
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10992
14.1 IPS |
|
|
Style Transfer (Q)
|
87% |
17273
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2376
87.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2034
75.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3160
117.1 IPS |
|
|
Text Classification (SP)
|
100% |
1721
2.30 KIPS |
|
|
Text Classification (HP)
|
100% |
850
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
481
644.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2941
50.7 IPS |
|
|
Machine Translation (HP)
|
100% |
898
15.5 IPS |
|
|
Machine Translation (Q)
|
68% |
3410
65.9 IPS |
