Maxsun H610M-E DZZ D5
Geekbench AI Score
3214
Single Precision Score
1395
Half Precision Score
5728
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | September 14 2025 11:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i5-13400EF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Maxsun H610M-E DZZ D5 |
| Motherboard | Maxsun H610M-E DZZ D5 |
| CPU Information | |
|---|---|
| Name | 13th Gen Intel(R) Core(TM) i5-13400EF |
| Topology | 1 Processor, 10 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2248
418.0 IPS |
|
|
Image Classification (HP)
|
100% |
503
93.5 IPS |
|
|
Image Classification (Q)
|
99% |
5054
942.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1434
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
885
14.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2931
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5409
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
3811
4.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
18418
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
2312
183.4 IPS |
|
|
Object Detection (HP)
|
100% |
647
51.3 IPS |
|
|
Object Detection (Q)
|
86% |
5387
432.9 IPS |
|
|
Face Detection (SP)
|
100% |
4605
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
1470
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
7755
92.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6969
53.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1967
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
12035
96.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12631
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9150
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15932
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2494
92.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1804
66.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3853
142.7 IPS |
|
|
Text Classification (SP)
|
100% |
1515
2.02 KIPS |
|
|
Text Classification (HP)
|
100% |
717
956.4 IPS |
|
|
Text Classification (Q)
|
97% |
1584
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
1906
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
744
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2852
57.3 IPS |
