Maxsun MS-Challenger H810ITX WIFI
Geekbench AI Score
4909
Single Precision Score
8999
Half Precision Score
14575
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | MADSDemid |
| Upload Date | August 27 2025 04:35 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Windows 11 IoT LTSC (64-bit) |
| Model | Maxsun MS-Challenger H810ITX WIFI |
| Motherboard | Maxsun MS-Challenger H810ITX WIFI |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3199
594.9 IPS |
|
|
Image Classification (HP)
|
100% |
6814
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
10393
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3955
64.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2721
44.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3530
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5686
6.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
33822
39.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
71031
83.2 IPS |
|
|
Object Detection (SP)
|
100% |
2846
225.7 IPS |
|
|
Object Detection (HP)
|
100% |
5433
430.9 IPS |
|
|
Object Detection (Q)
|
88% |
9655
774.1 IPS |
|
|
Face Detection (SP)
|
100% |
6861
81.5 IPS |
|
|
Face Detection (HP)
|
100% |
14098
167.5 IPS |
|
|
Face Detection (Q)
|
100% |
30090
357.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7195
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12579
96.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
24843
193.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17106
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38527
49.5 IPS |
|
|
Style Transfer (Q)
|
98% |
74204
95.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3593
132.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16384
605.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32160
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3167
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2235
2.98 KIPS |
|
|
Text Classification (Q)
|
92% |
2316
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
4134
71.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4087
70.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4163
71.7 IPS |
