MAXSUN MS-Challenger B650M
Geekbench AI Score
3192
Single Precision Score
1524
Half Precision Score
6259
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | September 07 2025 10:34 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8500G |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | MAXSUN MS-Challenger B650M |
| Motherboard | MAXSUN MS-Challenger B650M |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8500G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 120 Stepping 0 |
| Base Frequency | 3.55 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2444
454.6 IPS |
|
|
Image Classification (HP)
|
100% |
565
105.1 IPS |
|
|
Image Classification (Q)
|
99% |
5764
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1461
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
813
13.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6608
107.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4621
5.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
3983
4.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
16853
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2438
193.3 IPS |
|
|
Object Detection (HP)
|
100% |
802
63.6 IPS |
|
|
Object Detection (Q)
|
86% |
6044
485.8 IPS |
|
|
Face Detection (SP)
|
100% |
5414
64.3 IPS |
|
|
Face Detection (HP)
|
100% |
1686
20.0 IPS |
|
|
Face Detection (Q)
|
97% |
7648
91.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6345
48.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2359
18.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
6202
49.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11630
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9640
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
22168
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2039
75.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1917
70.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4574
169.4 IPS |
|
|
Text Classification (SP)
|
100% |
1582
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
722
964.2 IPS |
|
|
Text Classification (Q)
|
97% |
1580
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2124
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
873
15.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3130
62.9 IPS |
