Gigabyte Technology Co., Ltd. X570S AORUS MASTER
Geekbench AI Score
3672
Single Precision Score
1647
Half Precision Score
4308
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Creapure |
| Upload Date | March 24 2025 09:28 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% |
2836
527.4 IPS |
|
|
Image Classification (HP)
|
100% |
660
122.8 IPS |
|
|
Image Classification (Q)
|
96% |
4647
867.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2197
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
921
14.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
2088
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5012
5.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
4229
4.93 IPS |
|
|
Pose Estimation (Q)
|
86% |
10792
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
2427
192.5 IPS |
|
|
Object Detection (HP)
|
100% |
794
62.9 IPS |
|
|
Object Detection (Q)
|
58% |
2943
321.6 IPS |
|
|
Face Detection (SP)
|
100% |
6433
76.4 IPS |
|
|
Face Detection (HP)
|
100% |
1913
22.7 IPS |
|
|
Face Detection (Q)
|
96% |
8229
98.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6667
51.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2377
18.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10307
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12689
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10446
13.4 IPS |
|
|
Style Transfer (Q)
|
87% |
16684
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2207
81.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1964
72.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3172
117.5 IPS |
|
|
Text Classification (SP)
|
100% |
1712
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
848
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
463
620.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2860
49.3 IPS |
|
|
Machine Translation (HP)
|
100% |
910
15.7 IPS |
|
|
Machine Translation (Q)
|
68% |
3442
66.5 IPS |
