Gigabyte Technology Co., Ltd. B550 AORUS ELITE
Geekbench AI Score
14621
Single Precision Score
17149
Half Precision Score
10994
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 17 2025 02:03 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6600 |
| 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% |
6367
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
5910
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
5270
980.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
10677
173.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8284
134.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8878
144.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
71606
83.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
118329
138.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
60686
71.1 IPS |
|
|
Object Detection (SP)
|
100% |
5768
457.5 IPS |
|
|
Object Detection (HP)
|
100% |
7350
583.0 IPS |
|
|
Object Detection (Q)
|
87% |
4969
399.1 IPS |
|
|
Face Detection (SP)
|
100% |
19171
227.8 IPS |
|
|
Face Detection (HP)
|
100% |
23639
280.9 IPS |
|
|
Face Detection (Q)
|
97% |
15360
183.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
34874
268.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
42369
326.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
27112
217.8 IPS |
|
|
Style Transfer (SP)
|
100% |
143573
184.6 IPS |
|
|
Style Transfer (HP)
|
100% |
189137
243.1 IPS |
|
|
Style Transfer (Q)
|
98% |
117211
151.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24339
898.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30123
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16969
628.4 IPS |
|
|
Text Classification (SP)
|
100% |
1899
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (Q)
|
97% |
1286
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3585
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3934
67.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1717
32.2 IPS |
