Maxsun MS-Terminator B760M D5
Geekbench AI Score
3425
Single Precision Score
1372
Half Precision Score
5045
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | 46fy45 |
| Upload Date | June 23 2025 07:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-14400 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Maxsun MS-Terminator B760M D5 |
| Motherboard | Maxsun MS-Terminator B760M D5 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-14400 |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2537
471.7 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.3 IPS |
|
|
Image Classification (Q)
|
99% |
5090
949.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1495
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
845
13.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2374
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5182
6.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
3832
4.47 IPS |
|
|
Pose Estimation (Q)
|
94% |
18529
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
2512
199.2 IPS |
|
|
Object Detection (HP)
|
100% |
644
51.1 IPS |
|
|
Object Detection (Q)
|
86% |
4932
396.4 IPS |
|
|
Face Detection (SP)
|
100% |
6801
80.8 IPS |
|
|
Face Detection (HP)
|
100% |
1563
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
7895
94.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7091
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1895
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
12748
101.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12827
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9245
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
21245
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2435
89.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1727
63.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3643
134.9 IPS |
|
|
Text Classification (SP)
|
100% |
1531
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
697
930.0 IPS |
|
|
Text Classification (Q)
|
97% |
468
626.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1955
33.7 IPS |
|
|
Machine Translation (HP)
|
100% |
665
11.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2655
53.3 IPS |
