Maxsun MS-Challenger H810ITX WIFI
Geekbench AI Score
4198
Single Precision Score
7459
Half Precision Score
12147
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | MADSDemid |
| Upload Date | August 27 2025 04:41 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
3063
569.5 IPS |
|
|
Image Classification (HP)
|
100% |
5383
1.00 KIPS |
|
|
Image Classification (Q)
|
100% |
7034
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2016
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5507
89.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8748
141.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10859
12.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
10204
11.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
35108
41.1 IPS |
|
|
Object Detection (SP)
|
100% |
2745
217.7 IPS |
|
|
Object Detection (HP)
|
100% |
4921
390.3 IPS |
|
|
Object Detection (Q)
|
88% |
8585
688.0 IPS |
|
|
Face Detection (SP)
|
100% |
4075
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
8838
105.0 IPS |
|
|
Face Detection (Q)
|
100% |
17478
207.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9242
71.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
17681
136.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
23265
180.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25020
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36561
47.0 IPS |
|
|
Style Transfer (Q)
|
98% |
82230
106.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4381
161.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8295
306.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14116
522.8 IPS |
|
|
Text Classification (SP)
|
71% |
1510
2.18 KIPS |
|
|
Text Classification (HP)
|
71% |
2452
3.55 KIPS |
|
|
Text Classification (Q)
|
92% |
2600
3.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1483
25.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3085
53.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3075
53.1 IPS |
