Maxsun MS-PC Farm B860I
Geekbench AI Score
5371
Single Precision Score
2110
Half Precision Score
8641
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 07:12 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Maxsun MS-PC Farm B860I |
| Motherboard | Maxsun MS-PC Farm B860I |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4365
811.8 IPS |
|
|
Image Classification (HP)
|
100% |
710
132.1 IPS |
|
|
Image Classification (Q)
|
99% |
8909
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2421
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3845
62.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8648
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
6638
7.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
34995
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
3795
301.0 IPS |
|
|
Object Detection (HP)
|
100% |
913
72.4 IPS |
|
|
Object Detection (Q)
|
86% |
8369
672.6 IPS |
|
|
Face Detection (SP)
|
100% |
9361
111.2 IPS |
|
|
Face Detection (HP)
|
100% |
2141
25.4 IPS |
|
|
Face Detection (Q)
|
97% |
11489
137.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11942
92.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3008
23.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
19258
153.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22679
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
15657
20.1 IPS |
|
|
Style Transfer (Q)
|
98% |
20879
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4093
151.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3062
113.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6053
224.1 IPS |
|
|
Text Classification (SP)
|
100% |
2073
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
965
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1954
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2679
46.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1018
17.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4234
85.1 IPS |
