MAXSUN MS-Challenger B450M
Geekbench AI Score
2421
Single Precision Score
1225
Half Precision Score
3045
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 03:34 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | MAXSUN MS-Challenger B450M |
| Motherboard | MAXSUN MS-Challenger B450M |
| Power Plan | Balanced |
| 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% |
2159
401.6 IPS |
|
|
Image Classification (HP)
|
100% |
486
90.4 IPS |
|
|
Image Classification (Q)
|
96% |
3941
736.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1208
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
693
11.2 IPS |
|
|
Image Segmentation (Q)
|
97% |
1691
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3902
4.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3512
4.10 IPS |
|
|
Pose Estimation (Q)
|
86% |
8813
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1745
138.4 IPS |
|
|
Object Detection (HP)
|
100% |
604
47.9 IPS |
|
|
Object Detection (Q)
|
58% |
2214
241.9 IPS |
|
|
Face Detection (SP)
|
100% |
2092
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
1039
12.3 IPS |
|
|
Face Detection (Q)
|
96% |
5308
63.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5522
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1788
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
7599
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9710
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8580
11.0 IPS |
|
|
Style Transfer (Q)
|
87% |
8713
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1821
67.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1709
63.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2199
81.5 IPS |
|
|
Text Classification (SP)
|
100% |
1421
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
738
984.4 IPS |
|
|
Text Classification (Q)
|
97% |
415
556.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1347
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
532
9.17 IPS |
|
|
Machine Translation (Q)
|
68% |
1646
31.8 IPS |
