Gigabyte Technology Co., Ltd. B550M K
Geekbench AI Score
14601
Single Precision Score
16763
Half Precision Score
11384
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 03:39 PM |
| Views | 2 |
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. B550M K |
| Motherboard | Gigabyte Technology Co., Ltd. B550M K |
| Power Plan | Power saver |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6661
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
5786
1.08 KIPS |
|
|
Image Classification (Q)
|
100% |
5764
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10088
163.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7722
125.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8321
135.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
71048
82.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
118203
137.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
62166
72.8 IPS |
|
|
Object Detection (SP)
|
100% |
5647
447.9 IPS |
|
|
Object Detection (HP)
|
100% |
7116
564.5 IPS |
|
|
Object Detection (Q)
|
87% |
4862
390.5 IPS |
|
|
Face Detection (SP)
|
100% |
18908
224.7 IPS |
|
|
Face Detection (HP)
|
100% |
23080
274.2 IPS |
|
|
Face Detection (Q)
|
97% |
15248
181.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
34811
268.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
41923
323.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
27550
221.3 IPS |
|
|
Style Transfer (SP)
|
100% |
142923
183.7 IPS |
|
|
Style Transfer (HP)
|
100% |
180267
231.7 IPS |
|
|
Style Transfer (Q)
|
98% |
118020
152.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23472
866.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28674
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17195
636.7 IPS |
|
|
Text Classification (SP)
|
100% |
1967
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (Q)
|
97% |
1519
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3763
64.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4030
69.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1949
36.5 IPS |
