Gigabyte Technology Co., Ltd. B550 AORUS ELITE
Geekbench AI Score
3272
Single Precision Score
800
Half Precision Score
4181
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 12:24 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1539
286.3 IPS |
|
|
Image Classification (HP)
|
100% |
145
27.0 IPS |
|
|
Image Classification (Q)
|
97% |
3288
613.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1706
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
236
3.82 IPS |
|
|
Image Segmentation (Q)
|
97% |
2968
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8607
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
5914
6.90 IPS |
|
|
Pose Estimation (Q)
|
87% |
17697
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2027
160.7 IPS |
|
|
Object Detection (HP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (Q)
|
86% |
1728
138.9 IPS |
|
|
Face Detection (SP)
|
100% |
3042
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
300
3.56 IPS |
|
|
Face Detection (Q)
|
96% |
4260
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7938
61.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
979
7.54 IPS |
|
|
Depth Estimation (Q)
|
76% |
8009
64.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19278
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15611
20.1 IPS |
|
|
Style Transfer (Q)
|
87% |
19567
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2331
86.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1859
68.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3166
117.3 IPS |
|
|
Text Classification (SP)
|
100% |
1406
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
534
712.6 IPS |
|
|
Text Classification (Q)
|
97% |
1207
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2013
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
561
9.66 IPS |
|
|
Machine Translation (Q)
|
60% |
2145
47.8 IPS |
