Gigabyte Technology Co., Ltd. B450M S2H
Geekbench AI Score
3723
Single Precision Score
1667
Half Precision Score
5363
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 25 2025 03:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B450M S2H |
| Motherboard | Gigabyte Technology Co., Ltd. B450M S2H |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2856
531.1 IPS |
|
|
Image Classification (HP)
|
100% |
648
120.6 IPS |
|
|
Image Classification (Q)
|
96% |
4566
852.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1892
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
881
14.3 IPS |
|
|
Image Segmentation (Q)
|
97% |
5517
89.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5492
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
4334
5.06 IPS |
|
|
Pose Estimation (Q)
|
86% |
10780
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
2715
215.3 IPS |
|
|
Object Detection (HP)
|
100% |
829
65.7 IPS |
|
|
Object Detection (Q)
|
58% |
3247
354.8 IPS |
|
|
Face Detection (SP)
|
100% |
5301
63.0 IPS |
|
|
Face Detection (HP)
|
100% |
1630
19.4 IPS |
|
|
Face Detection (Q)
|
96% |
8099
96.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7488
57.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2270
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10460
83.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13229
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11194
14.4 IPS |
|
|
Style Transfer (Q)
|
87% |
14361
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2522
93.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2173
80.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3981
147.5 IPS |
|
|
Text Classification (SP)
|
100% |
1834
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
911
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1456
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2621
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
986
17.0 IPS |
|
|
Machine Translation (Q)
|
68% |
3171
61.3 IPS |
