Gigabyte Technology Co., Ltd. X570 AORUS ELITE
Geekbench AI Score
2209
Single Precision Score
598
Half Precision Score
3096
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | leow149 |
| Upload Date | February 23 2025 11:37 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3800XT |
| System Information | |
|---|---|
| Operating System | CachyOS |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3800XT |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 4.94 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.71 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1058
196.7 IPS |
|
|
Image Classification (HP)
|
100% |
131
24.3 IPS |
|
|
Image Classification (Q)
|
94% |
2669
498.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
764
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
1815
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6031
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
4527
5.28 IPS |
|
|
Pose Estimation (Q)
|
86% |
6563
7.76 IPS |
|
|
Object Detection (SP)
|
100% |
1763
139.8 IPS |
|
|
Object Detection (HP)
|
100% |
235
18.7 IPS |
|
|
Object Detection (Q)
|
58% |
1876
205.0 IPS |
|
|
Face Detection (SP)
|
100% |
2132
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
313
3.72 IPS |
|
|
Face Detection (Q)
|
96% |
7589
90.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3892
30.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
811
6.25 IPS |
|
|
Depth Estimation (Q)
|
78% |
5728
45.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9088
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7286
9.37 IPS |
|
|
Style Transfer (Q)
|
87% |
11116
14.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1991
73.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1119
41.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1681
62.3 IPS |
|
|
Text Classification (SP)
|
100% |
1233
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
307
410.2 IPS |
|
|
Text Classification (Q)
|
97% |
874
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1740
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
335
5.77 IPS |
|
|
Machine Translation (Q)
|
68% |
1917
37.0 IPS |
