MAXSUN MS-Challenger B650M
Geekbench AI Score
11615
Single Precision Score
20587
Half Precision Score
11962
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 09:56 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6750 GRE 10GB |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT LTSC (64-bit) |
| Model | MAXSUN MS-Challenger B650M |
| Motherboard | MAXSUN MS-Challenger B650M |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8698
1.62 KIPS |
|
|
Image Classification (HP)
|
100% |
9212
1.71 KIPS |
|
|
Image Classification (Q)
|
100% |
7372
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9412
152.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
11904
193.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7602
123.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
98487
114.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
165536
193.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
87112
102.1 IPS |
|
|
Object Detection (SP)
|
100% |
2892
229.4 IPS |
|
|
Object Detection (HP)
|
100% |
8643
685.5 IPS |
|
|
Object Detection (Q)
|
87% |
5202
417.8 IPS |
|
|
Face Detection (SP)
|
100% |
3941
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
12413
147.5 IPS |
|
|
Face Detection (Q)
|
97% |
4033
48.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
41317
318.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
54694
421.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
31844
255.7 IPS |
|
|
Style Transfer (SP)
|
100% |
44293
56.9 IPS |
|
|
Style Transfer (HP)
|
100% |
261274
335.9 IPS |
|
|
Style Transfer (Q)
|
98% |
160474
206.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23701
875.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33912
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22139
819.8 IPS |
|
|
Text Classification (SP)
|
100% |
2030
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
2864
3.82 KIPS |
|
|
Text Classification (Q)
|
97% |
1800
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5525
95.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5061
87.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2876
53.9 IPS |
