Maxsun MS-iCraft B860M CROSS
Geekbench AI Score
4122
Single Precision Score
9701
Half Precision Score
14347
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | alphaprototype |
| Upload Date | December 06 2025 01:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Maxsun MS-iCraft B860M CROSS |
| Motherboard | Maxsun MS-iCraft B860M CROSS |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2995
556.9 IPS |
|
|
Image Classification (HP)
|
100% |
6366
1.18 KIPS |
|
|
Image Classification (Q)
|
56% |
5799
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2936
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3959
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2482
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
34385
40.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
75450
88.4 IPS |
|
|
Object Detection (SP)
|
100% |
2821
223.7 IPS |
|
|
Object Detection (HP)
|
100% |
5826
462.1 IPS |
|
|
Object Detection (Q)
|
87% |
9851
790.6 IPS |
|
|
Face Detection (SP)
|
100% |
8334
99.0 IPS |
|
|
Face Detection (HP)
|
100% |
16878
200.5 IPS |
|
|
Face Detection (Q)
|
100% |
28924
343.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7397
57.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19282
148.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
35136
273.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16076
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
53096
68.3 IPS |
|
|
Style Transfer (Q)
|
98% |
98367
126.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3353
123.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14371
530.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25930
960.3 IPS |
|
|
Text Classification (SP)
|
100% |
2889
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
1925
2.57 KIPS |
|
|
Text Classification (Q)
|
92% |
1914
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4331
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4125
71.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4367
75.2 IPS |
