Maxsun MS-iCraft B860M CROSS
Geekbench AI Score
5460
Single Precision Score
2210
Half Precision Score
9908
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | alphaprototype |
| Upload Date | December 06 2025 01:48 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
4022
747.9 IPS |
|
|
Image Classification (HP)
|
100% |
757
140.8 IPS |
|
|
Image Classification (Q)
|
99% |
8800
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2588
41.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1425
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
13234
215.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9911
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
6541
7.63 IPS |
|
|
Pose Estimation (Q)
|
94% |
31310
36.7 IPS |
|
|
Object Detection (SP)
|
100% |
3893
308.8 IPS |
|
|
Object Detection (HP)
|
100% |
1010
80.1 IPS |
|
|
Object Detection (Q)
|
86% |
9398
755.3 IPS |
|
|
Face Detection (SP)
|
100% |
10968
130.3 IPS |
|
|
Face Detection (HP)
|
100% |
2240
26.6 IPS |
|
|
Face Detection (Q)
|
97% |
11728
139.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
11506
88.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3150
24.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
19004
151.6 IPS |
|
|
Style Transfer (SP)
|
100% |
22068
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15521
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
24869
32.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3906
144.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2731
100.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6655
246.4 IPS |
|
|
Text Classification (SP)
|
100% |
1946
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
975
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1738
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2773
47.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1338
23.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4152
83.4 IPS |
