LG Electronics 14ZD90RU-GX56K
Geekbench AI Score
2106
Single Precision Score
905
Half Precision Score
3421
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 22 2025 08:38 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1334U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LG Electronics 14ZD90RU-GX56K |
| Motherboard | LG Electronics 14Z90RU |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1334U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1749
325.2 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.1 IPS |
|
|
Image Classification (Q)
|
99% |
3564
664.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1012
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2985
48.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3105
3.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1982
2.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
8860
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1548
122.8 IPS |
|
|
Object Detection (HP)
|
100% |
469
37.2 IPS |
|
|
Object Detection (Q)
|
86% |
2700
217.0 IPS |
|
|
Face Detection (SP)
|
100% |
3949
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
1044
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
5344
63.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4061
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1184
9.13 IPS |
|
|
Depth Estimation (Q)
|
78% |
7754
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7101
9.13 IPS |
|
|
Style Transfer (HP)
|
100% |
4657
5.99 IPS |
|
|
Style Transfer (Q)
|
98% |
11479
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1324
48.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
937
34.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3006
111.3 IPS |
|
|
Text Classification (SP)
|
100% |
1132
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
488
652.0 IPS |
|
|
Text Classification (Q)
|
97% |
360
482.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1186
20.4 IPS |
|
|
Machine Translation (HP)
|
100% |
542
9.33 IPS |
|
|
Machine Translation (Q)
|
65% |
1679
33.7 IPS |
