LG Electronics 14Z90S-GA5PK
Geekbench AI Score
3596
Single Precision Score
5233
Half Precision Score
2545
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 06:53 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LG Electronics 14Z90S-GA5PK |
| Motherboard | LG Electronics 14Z90S |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2015
374.7 IPS |
|
|
Image Classification (HP)
|
100% |
3538
658.0 IPS |
|
|
Image Classification (Q)
|
100% |
1762
327.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2724
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5325
86.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1871
30.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10310
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
12357
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
8280
9.71 IPS |
|
|
Object Detection (SP)
|
100% |
1787
141.7 IPS |
|
|
Object Detection (HP)
|
99% |
3521
280.1 IPS |
|
|
Object Detection (Q)
|
86% |
1552
124.7 IPS |
|
|
Face Detection (SP)
|
100% |
3463
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
5945
70.6 IPS |
|
|
Face Detection (Q)
|
97% |
2864
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7446
57.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9337
72.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
4907
39.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29567
38.0 IPS |
|
|
Style Transfer (HP)
|
100% |
47067
60.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20777
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5059
186.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8078
298.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2862
106.0 IPS |
|
|
Text Classification (SP)
|
86% |
583
788.9 IPS |
|
|
Text Classification (HP)
|
99% |
551
735.3 IPS |
|
|
Text Classification (Q)
|
84% |
411
557.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1593
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1616
27.8 IPS |
|
|
Machine Translation (Q)
|
70% |
785
14.7 IPS |
