MAXSUN MS-Challenger B650M
Geekbench AI Score
5143
Single Precision Score
6734
Half Precision Score
4033
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | September 07 2025 10:45 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 740M Graphics |
| 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% |
2073
385.5 IPS |
|
|
Image Classification (HP)
|
100% |
2305
428.6 IPS |
|
|
Image Classification (Q)
|
100% |
1959
364.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2843
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2257
36.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2311
37.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
21539
25.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
36989
43.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17878
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
1767
140.1 IPS |
|
|
Object Detection (HP)
|
100% |
1902
150.9 IPS |
|
|
Object Detection (Q)
|
87% |
1632
131.1 IPS |
|
|
Face Detection (SP)
|
100% |
5076
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
7877
93.6 IPS |
|
|
Face Detection (Q)
|
97% |
4365
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10872
83.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
14291
110.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
8824
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32845
42.2 IPS |
|
|
Style Transfer (HP)
|
100% |
52036
66.9 IPS |
|
|
Style Transfer (Q)
|
98% |
26708
34.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7424
274.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11799
435.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5413
200.4 IPS |
|
|
Text Classification (SP)
|
100% |
1672
2.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2909
3.88 KIPS |
|
|
Text Classification (Q)
|
97% |
1219
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2567
44.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2608
44.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1271
23.8 IPS |
