MAXSUN MS-Challenger A620A 2.5G
Geekbench AI Score
3112
Single Precision Score
1625
Half Precision Score
4834
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | YGRIG |
| Upload Date | October 21 2024 06:38 PM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8400F 6-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | MAXSUN MS-Challenger A620A 2.5G |
| Motherboard | MAXSUN MS-Challenger A620A 2.5G |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8400F 6-Core Processor |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1882
350.1 IPS |
|
|
Image Classification (HP)
|
100% |
596
110.8 IPS |
|
|
Image Classification (Q)
|
99% |
4693
875.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1157
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
752
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3324
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6055
7.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
5073
5.92 IPS |
|
|
Pose Estimation (Q)
|
95% |
20985
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
2211
175.4 IPS |
|
|
Object Detection (HP)
|
100% |
797
63.2 IPS |
|
|
Object Detection (Q)
|
88% |
2223
178.2 IPS |
|
|
Face Detection (SP)
|
100% |
2924
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
1719
20.4 IPS |
|
|
Face Detection (Q)
|
97% |
5078
60.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6748
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2594
20.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
5326
42.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14341
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12465
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
22424
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2529
93.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2344
86.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3545
131.3 IPS |
|
|
Text Classification (SP)
|
100% |
1860
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1788
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2196
37.8 IPS |
|
|
Machine Translation (HP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2494
55.6 IPS |
