Gigabyte Technology Co., Ltd. B550 AORUS ELITE
Geekbench AI Score
3613
Single Precision Score
1295
Half Precision Score
5272
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 09:07 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3174
590.2 IPS |
|
|
Image Classification (HP)
|
100% |
421
78.3 IPS |
|
|
Image Classification (Q)
|
96% |
4445
830.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1717
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
595
9.65 IPS |
|
|
Image Segmentation (Q)
|
97% |
6317
102.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7083
8.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
5556
6.48 IPS |
|
|
Pose Estimation (Q)
|
86% |
14681
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2759
218.9 IPS |
|
|
Object Detection (HP)
|
100% |
524
41.5 IPS |
|
|
Object Detection (Q)
|
58% |
3402
371.7 IPS |
|
|
Face Detection (SP)
|
100% |
6093
72.4 IPS |
|
|
Face Detection (HP)
|
100% |
1151
13.7 IPS |
|
|
Face Detection (Q)
|
96% |
8100
96.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8227
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1742
13.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
11110
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16212
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13921
17.9 IPS |
|
|
Style Transfer (Q)
|
87% |
19027
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1989
73.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1748
64.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2987
110.7 IPS |
|
|
Text Classification (SP)
|
100% |
1201
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
522
696.6 IPS |
|
|
Text Classification (Q)
|
97% |
975
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1835
31.6 IPS |
|
|
Machine Translation (HP)
|
100% |
715
12.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2373
45.9 IPS |
