Maxsun MS-iCraft B860M CROSS
Geekbench AI Score
28098
Single Precision Score
49117
Half Precision Score
21774
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | alphaprototype |
| Upload Date | December 06 2025 01:56 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| 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% |
10464
1.95 KIPS |
|
|
Image Classification (HP)
|
100% |
18078
3.36 KIPS |
|
|
Image Classification (Q)
|
100% |
9124
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21273
344.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
31558
511.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
19520
317.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
166717
194.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
488860
570.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
140536
164.6 IPS |
|
|
Object Detection (SP)
|
100% |
14719
1.17 KIPS |
|
|
Object Detection (HP)
|
100% |
24308
1.93 KIPS |
|
|
Object Detection (Q)
|
83% |
12399
1.00 KIPS |
|
|
Face Detection (SP)
|
100% |
40047
475.8 IPS |
|
|
Face Detection (HP)
|
100% |
58461
694.6 IPS |
|
|
Face Detection (Q)
|
97% |
34691
413.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
67844
522.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
129564
998.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
54304
433.4 IPS |
|
|
Style Transfer (SP)
|
100% |
232997
299.5 IPS |
|
|
Style Transfer (HP)
|
100% |
772745
993.4 IPS |
|
|
Style Transfer (Q)
|
98% |
196878
253.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40108
1.48 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73999
2.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31935
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3639
4.86 KIPS |
|
|
Text Classification (HP)
|
100% |
4292
5.73 KIPS |
|
|
Text Classification (Q)
|
97% |
2207
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
6079
104.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6485
111.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2954
55.4 IPS |
