SOYO SY-KL H510ITX
Geekbench AI Score
1406
Single Precision Score
709
Half Precision Score
2369
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 16 2025 05:04 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11400F |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SOYO SY-KL H510ITX |
| Motherboard | SOYO SY-KL H510ITX |
| Power Plan | Alto desempenho |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
943
175.3 IPS |
|
|
Image Classification (HP)
|
100% |
279
52.0 IPS |
|
|
Image Classification (Q)
|
96% |
1728
322.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
709
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
408
6.62 IPS |
|
|
Image Segmentation (Q)
|
97% |
2150
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1856
2.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1593
1.86 IPS |
|
|
Pose Estimation (Q)
|
86% |
4464
5.28 IPS |
|
|
Object Detection (SP)
|
100% |
930
73.8 IPS |
|
|
Object Detection (HP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (Q)
|
58% |
1331
145.4 IPS |
|
|
Face Detection (SP)
|
100% |
2412
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
776
9.22 IPS |
|
|
Face Detection (Q)
|
96% |
3273
39.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2510
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
980
7.55 IPS |
|
|
Depth Estimation (Q)
|
78% |
4505
35.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5418
6.97 IPS |
|
|
Style Transfer (HP)
|
100% |
3982
5.12 IPS |
|
|
Style Transfer (Q)
|
87% |
8027
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
921
34.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
782
28.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1942
72.0 IPS |
|
|
Text Classification (SP)
|
100% |
798
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
451
601.4 IPS |
|
|
Text Classification (Q)
|
97% |
707
947.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1091
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.27 IPS |
|
|
Machine Translation (Q)
|
68% |
1557
30.1 IPS |
