Gigabyte Technology Co., Ltd. B550 AORUS ELITE
Geekbench AI Score
2547
Single Precision Score
719
Half Precision Score
3668
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | December 21 2024 09:41 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1217
226.3 IPS |
|
|
Image Classification (HP)
|
100% |
130
24.2 IPS |
|
|
Image Classification (Q)
|
97% |
2867
535.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1550
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
217
3.52 IPS |
|
|
Image Segmentation (Q)
|
97% |
2709
44.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6207
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
4791
5.59 IPS |
|
|
Pose Estimation (Q)
|
87% |
15434
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
1489
118.1 IPS |
|
|
Object Detection (HP)
|
100% |
189
15.0 IPS |
|
|
Object Detection (Q)
|
86% |
1489
119.7 IPS |
|
|
Face Detection (SP)
|
100% |
1883
22.4 IPS |
|
|
Face Detection (HP)
|
100% |
274
3.26 IPS |
|
|
Face Detection (Q)
|
96% |
3589
42.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5433
41.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
899
6.93 IPS |
|
|
Depth Estimation (Q)
|
76% |
6811
54.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15110
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12125
15.6 IPS |
|
|
Style Transfer (Q)
|
87% |
14979
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1894
69.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1635
60.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2790
103.4 IPS |
|
|
Text Classification (SP)
|
100% |
1362
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
538
718.7 IPS |
|
|
Text Classification (Q)
|
97% |
1204
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1655
28.5 IPS |
|
|
Machine Translation (HP)
|
100% |
552
9.52 IPS |
|
|
Machine Translation (Q)
|
60% |
2012
44.9 IPS |
