Gigabyte Technology Co., Ltd. B550 EAGLE WIFI6
Geekbench AI Score
7558
Single Precision Score
9505
Half Precision Score
6108
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | manual123 |
| Upload Date | November 02 2025 01:19 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 EAGLE WIFI6 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 EAGLE WIFI6 |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2943
547.4 IPS |
|
|
Image Classification (HP)
|
99% |
3494
651.7 IPS |
|
|
Image Classification (Q)
|
100% |
2589
481.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2525
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2697
43.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2404
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
73493
85.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
131242
153.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
61508
72.1 IPS |
|
|
Object Detection (SP)
|
100% |
3059
242.6 IPS |
|
|
Object Detection (HP)
|
100% |
3527
279.7 IPS |
|
|
Object Detection (Q)
|
85% |
2732
219.9 IPS |
|
|
Face Detection (SP)
|
100% |
6368
75.7 IPS |
|
|
Face Detection (HP)
|
100% |
7156
85.0 IPS |
|
|
Face Detection (Q)
|
97% |
5880
70.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
28201
217.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
39623
305.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
21271
170.3 IPS |
|
|
Style Transfer (SP)
|
100% |
107718
138.5 IPS |
|
|
Style Transfer (HP)
|
100% |
174698
224.6 IPS |
|
|
Style Transfer (Q)
|
98% |
90514
116.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15380
567.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18845
695.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11541
427.4 IPS |
|
|
Text Classification (SP)
|
100% |
1700
2.27 KIPS |
|
|
Text Classification (HP)
|
99% |
2039
2.72 KIPS |
|
|
Text Classification (Q)
|
97% |
1001
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (Q)
|
70% |
529
9.93 IPS |
