SOYO SY-KL H510M-F
Geekbench AI Score
1408
Single Precision Score
748
Half Precision Score
1852
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 02:49 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-10105 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | SOYO SY-KL H510M-F |
| Motherboard | SOYO SY-KL H510M-F |
| CPU Information | |
|---|---|
| Name | Intel Core i3-10105 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
994
184.8 IPS |
|
|
Image Classification (HP)
|
100% |
316
58.8 IPS |
|
|
Image Classification (Q)
|
96% |
1677
313.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
586
9.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
437
7.08 IPS |
|
|
Image Segmentation (Q)
|
97% |
934
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2141
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
1731
2.02 IPS |
|
|
Pose Estimation (Q)
|
86% |
3989
4.72 IPS |
|
|
Object Detection (SP)
|
100% |
940
74.6 IPS |
|
|
Object Detection (HP)
|
100% |
376
29.8 IPS |
|
|
Object Detection (Q)
|
58% |
1087
118.8 IPS |
|
|
Face Detection (SP)
|
100% |
1976
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
819
9.73 IPS |
|
|
Face Detection (Q)
|
96% |
3406
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2520
19.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1112
8.57 IPS |
|
|
Depth Estimation (Q)
|
78% |
4146
33.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5259
6.76 IPS |
|
|
Style Transfer (HP)
|
100% |
3873
4.98 IPS |
|
|
Style Transfer (Q)
|
87% |
7088
9.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
995
36.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
852
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1452
53.8 IPS |
|
|
Text Classification (SP)
|
100% |
868
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
450
600.1 IPS |
|
|
Text Classification (Q)
|
97% |
339
454.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1161
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.85 IPS |
|
|
Machine Translation (Q)
|
68% |
1425
27.5 IPS |
