LG Electronics 15U560-KR5HK
Geekbench AI Score
499
Single Precision Score
296
Half Precision Score
666
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | eunu |
| Upload Date | October 04 2025 03:08 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-6200U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | LG Electronics 15U560-KR5HK |
| Motherboard | LG Electronics 15U560 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-6200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
287
53.3 IPS |
|
|
Image Classification (HP)
|
100% |
113
21.0 IPS |
|
|
Image Classification (Q)
|
96% |
488
91.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
218
3.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
190
3.08 IPS |
|
|
Image Segmentation (Q)
|
97% |
438
7.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
763
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
575
0.67 IPS |
|
|
Pose Estimation (Q)
|
86% |
1168
1.38 IPS |
|
|
Object Detection (SP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (HP)
|
100% |
152
12.0 IPS |
|
|
Object Detection (Q)
|
58% |
348
38.1 IPS |
|
|
Face Detection (SP)
|
100% |
636
7.56 IPS |
|
|
Face Detection (HP)
|
100% |
305
3.63 IPS |
|
|
Face Detection (Q)
|
96% |
1091
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
899
6.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
462
3.56 IPS |
|
|
Depth Estimation (Q)
|
78% |
1118
8.92 IPS |
|
|
Style Transfer (SP)
|
100% |
1753
2.25 IPS |
|
|
Style Transfer (HP)
|
100% |
1490
1.92 IPS |
|
|
Style Transfer (Q)
|
87% |
2140
2.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
358
13.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
247
9.12 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
699
25.9 IPS |
|
|
Text Classification (SP)
|
100% |
389
519.4 IPS |
|
|
Text Classification (HP)
|
100% |
259
346.2 IPS |
|
|
Text Classification (Q)
|
97% |
193
258.8 IPS |
|
|
Machine Translation (SP)
|
100% |
516
8.89 IPS |
|
|
Machine Translation (HP)
|
100% |
208
3.59 IPS |
|
|
Machine Translation (Q)
|
68% |
566
10.9 IPS |
