Gigabyte Technology Co., Ltd. B550M S2H
Geekbench AI Score
1858
Single Precision Score
937
Half Precision Score
3321
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 04:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550M S2H |
| Motherboard | Gigabyte Technology Co., Ltd. B550M S2H |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1538
286.0 IPS |
|
|
Image Classification (HP)
|
100% |
420
78.1 IPS |
|
|
Image Classification (Q)
|
96% |
3562
665.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
868
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
496
8.03 IPS |
|
|
Image Segmentation (Q)
|
97% |
3112
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2590
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2449
2.86 IPS |
|
|
Pose Estimation (Q)
|
86% |
6050
7.15 IPS |
|
|
Object Detection (SP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (HP)
|
100% |
429
34.1 IPS |
|
|
Object Detection (Q)
|
58% |
1758
192.0 IPS |
|
|
Face Detection (SP)
|
100% |
2401
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
873
10.4 IPS |
|
|
Face Detection (Q)
|
96% |
5263
62.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3580
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1378
10.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
6039
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6792
8.73 IPS |
|
|
Style Transfer (HP)
|
100% |
5641
7.25 IPS |
|
|
Style Transfer (Q)
|
87% |
9329
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1226
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1107
40.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2576
95.5 IPS |
|
|
Text Classification (SP)
|
100% |
1212
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
588
785.4 IPS |
|
|
Text Classification (Q)
|
97% |
1091
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (Q)
|
68% |
1666
32.2 IPS |
