Maxsun MS-Terminator B860M
Geekbench AI Score
4779
Single Precision Score
2099
Half Precision Score
8499
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 18 2025 02:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 230F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Maxsun MS-Terminator B860M |
| Motherboard | Maxsun MS-Terminator B860M |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 230F |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2900
539.4 IPS |
|
|
Image Classification (HP)
|
100% |
731
135.9 IPS |
|
|
Image Classification (Q)
|
99% |
7753
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2357
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4160
67.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7944
9.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
6330
7.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
27514
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
3511
278.5 IPS |
|
|
Object Detection (HP)
|
100% |
934
74.1 IPS |
|
|
Object Detection (Q)
|
86% |
8533
685.8 IPS |
|
|
Face Detection (SP)
|
100% |
10090
119.9 IPS |
|
|
Face Detection (HP)
|
100% |
2340
27.8 IPS |
|
|
Face Detection (Q)
|
97% |
10759
128.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10083
77.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3074
23.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
18367
146.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18710
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
15675
20.2 IPS |
|
|
Style Transfer (Q)
|
98% |
29751
38.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3461
127.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2911
107.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5619
208.1 IPS |
|
|
Text Classification (SP)
|
100% |
1883
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
907
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1915
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2628
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4109
82.6 IPS |
