LG Electronics 14ZD90RU-GX56K
Geekbench AI Score
2415
Single Precision Score
2408
Half Precision Score
4780
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 22 2025 08:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
1395
259.4 IPS |
|
|
Image Classification (Q)
|
100% |
2801
520.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2004
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3527
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2993
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2791
3.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
7931
9.29 IPS |
|
|
Object Detection (SP)
|
100% |
1313
104.2 IPS |
|
|
Object Detection (HP)
|
100% |
1332
105.7 IPS |
|
|
Object Detection (Q)
|
88% |
2830
226.8 IPS |
|
|
Face Detection (SP)
|
100% |
3846
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
3927
46.7 IPS |
|
|
Face Detection (Q)
|
100% |
7716
91.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3627
27.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3624
27.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
8032
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8000
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8261
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
23057
29.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1624
60.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1667
61.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4187
155.0 IPS |
|
|
Text Classification (SP)
|
100% |
1461
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
1470
1.96 KIPS |
|
|
Text Classification (Q)
|
92% |
2150
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2323
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2235
38.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2184
37.6 IPS |
