Gigabyte Technology Co., Ltd. B450M DS3H WIFI
Geekbench AI Score
2984
Single Precision Score
3928
Half Precision Score
2248
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 08 2025 05:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450M DS3H WIFI |
| Motherboard | Gigabyte Technology Co., Ltd. B450M DS3H WIFI-CF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600GT |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1266
235.5 IPS |
|
|
Image Classification (HP)
|
100% |
1478
274.8 IPS |
|
|
Image Classification (Q)
|
100% |
1085
201.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1142
18.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10983
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19889
23.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
9203
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1360
107.9 IPS |
|
|
Object Detection (HP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (Q)
|
88% |
1215
97.4 IPS |
|
|
Face Detection (SP)
|
100% |
2901
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
4013
47.7 IPS |
|
|
Face Detection (Q)
|
97% |
2412
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6241
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9100
70.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
4900
39.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19149
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31617
40.6 IPS |
|
|
Style Transfer (Q)
|
98% |
15281
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4003
147.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5901
217.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2790
103.3 IPS |
|
|
Text Classification (SP)
|
100% |
1019
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1065
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
644
862.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1569
27.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1617
27.9 IPS |
|
|
Machine Translation (Q)
|
70% |
734
13.8 IPS |
