Maxsun MS-Challenger H810ITX WIFI
Geekbench AI Score
4818
Single Precision Score
3528
Half Precision Score
12438
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | MADSDemid |
| Upload Date | August 27 2025 04:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245K |
| 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% |
2984
555.0 IPS |
|
|
Image Classification (HP)
|
100% |
2258
419.9 IPS |
|
|
Image Classification (Q)
|
100% |
7875
1.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3801
61.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1835
29.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8810
142.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5637
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3818
4.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
21314
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
2822
223.9 IPS |
|
|
Object Detection (HP)
|
100% |
2153
170.8 IPS |
|
|
Object Detection (Q)
|
88% |
8255
661.7 IPS |
|
|
Face Detection (SP)
|
100% |
6651
79.0 IPS |
|
|
Face Detection (HP)
|
100% |
6871
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
21055
250.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6878
53.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5279
40.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
19839
154.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16494
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10841
13.9 IPS |
|
|
Style Transfer (Q)
|
98% |
59951
77.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3478
128.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2568
94.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12244
453.4 IPS |
|
|
Text Classification (SP)
|
100% |
3144
4.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2111
2.82 KIPS |
|
|
Text Classification (Q)
|
92% |
5447
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4531
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4117
70.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4348
74.9 IPS |
