Maxsun MS-H610M 666 WIFI6 D5
Geekbench AI Score
3420
Single Precision Score
1435
Half Precision Score
5920
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 20 2025 07:59 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-13400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Maxsun MS-H610M 666 WIFI6 D5 |
| Motherboard | Maxsun MS-H610M 666 WIFI6 D5 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13400F |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2514
467.5 IPS |
|
|
Image Classification (HP)
|
100% |
514
95.6 IPS |
|
|
Image Classification (Q)
|
99% |
5412
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1555
25.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
974
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2970
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5736
6.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
3784
4.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
18779
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
2523
200.1 IPS |
|
|
Object Detection (HP)
|
100% |
669
53.1 IPS |
|
|
Object Detection (Q)
|
86% |
5509
442.7 IPS |
|
|
Face Detection (SP)
|
100% |
5178
61.5 IPS |
|
|
Face Detection (HP)
|
100% |
1515
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
8135
97.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7310
56.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2002
15.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
12618
100.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13181
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9178
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
16469
21.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2537
93.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1854
68.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3983
147.5 IPS |
|
|
Text Classification (SP)
|
100% |
1500
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
726
968.4 IPS |
|
|
Text Classification (Q)
|
97% |
1584
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2041
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
781
13.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2984
60.0 IPS |
