Maxsun MS-iCraft B860M CROSS
Geekbench AI Score
2147
Single Precision Score
1492
Half Precision Score
5243
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | alphaprototype |
| Upload Date | December 06 2025 01:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245K |
| 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% |
1314
244.4 IPS |
|
|
Image Classification (HP)
|
100% |
928
172.5 IPS |
|
|
Image Classification (Q)
|
100% |
2997
557.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1568
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
772
12.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3634
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2449
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
1668
1.95 IPS |
|
|
Pose Estimation (Q)
|
96% |
9190
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1215
96.4 IPS |
|
|
Object Detection (HP)
|
100% |
882
70.0 IPS |
|
|
Object Detection (Q)
|
88% |
3426
274.6 IPS |
|
|
Face Detection (SP)
|
100% |
3942
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
2977
35.4 IPS |
|
|
Face Detection (Q)
|
100% |
8859
105.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3173
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2252
17.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
9165
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7169
9.22 IPS |
|
|
Style Transfer (HP)
|
100% |
4823
6.20 IPS |
|
|
Style Transfer (Q)
|
98% |
25731
33.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1490
55.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1033
38.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4794
177.5 IPS |
|
|
Text Classification (SP)
|
100% |
1275
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
861
1.15 KIPS |
|
|
Text Classification (Q)
|
92% |
2345
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1999
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1811
31.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1951
33.6 IPS |
