Gigabyte Technology Co., Ltd. B550 UD AC-Y1
Geekbench AI Score
2760
Single Precision Score
1245
Half Precision Score
4520
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | pangitone |
| Upload Date | July 31 2025 07:08 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 UD AC-Y1 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 UD AC-Y1 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2143
398.5 IPS |
|
|
Image Classification (HP)
|
100% |
455
84.6 IPS |
|
|
Image Classification (Q)
|
96% |
4843
904.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1301
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
672
10.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
2620
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4454
5.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
3779
4.41 IPS |
|
|
Pose Estimation (Q)
|
86% |
11150
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
2315
183.6 IPS |
|
|
Object Detection (HP)
|
100% |
590
46.8 IPS |
|
|
Object Detection (Q)
|
58% |
3084
336.9 IPS |
|
|
Face Detection (SP)
|
100% |
3135
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
1210
14.4 IPS |
|
|
Face Detection (Q)
|
96% |
7101
84.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6214
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1833
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
9570
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11259
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8924
11.5 IPS |
|
|
Style Transfer (Q)
|
87% |
12952
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1935
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2501
92.7 IPS |
|
|
Text Classification (SP)
|
100% |
1396
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
679
906.4 IPS |
|
|
Text Classification (Q)
|
97% |
1535
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
1507
26.0 IPS |
|
|
Machine Translation (HP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2416
46.7 IPS |
