LG Electronics 15ZT90P-G.AX33U1
Geekbench AI Score
990
Single Precision Score
1682
Half Precision Score
760
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | iantm |
| Upload Date | February 04 2026 01:06 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LG Electronics 15ZT90P-G.AX33U1 |
| Motherboard | LG Electronics 15Z90P |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1115G4 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
722
134.3 IPS |
|
|
Image Classification (HP)
|
100% |
690
128.4 IPS |
|
|
Image Classification (Q)
|
100% |
630
117.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1115
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1219
19.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
832
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
742
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
6822
7.96 IPS |
|
|
Pose Estimation (Q)
|
97% |
687
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
886
70.3 IPS |
|
|
Object Detection (HP)
|
98% |
616
49.0 IPS |
|
|
Object Detection (Q)
|
86% |
735
59.1 IPS |
|
|
Face Detection (SP)
|
100% |
1620
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
2073
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
1244
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1208
9.31 IPS |
|
|
Depth Estimation (HP)
|
98% |
3811
29.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
1019
8.14 IPS |
|
|
Style Transfer (SP)
|
100% |
3975
5.11 IPS |
|
|
Style Transfer (HP)
|
100% |
16634
21.4 IPS |
|
|
Style Transfer (Q)
|
98% |
3417
4.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
750
27.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2571
94.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
541
20.0 IPS |
|
|
Text Classification (SP)
|
100% |
494
659.5 IPS |
|
|
Text Classification (HP)
|
100% |
323
431.1 IPS |
|
|
Text Classification (Q)
|
97% |
317
424.8 IPS |
|
|
Machine Translation (SP)
|
100% |
595
10.2 IPS |
|
|
Machine Translation (HP)
|
100% |
470
8.09 IPS |
|
|
Machine Translation (Q)
|
70% |
330
6.20 IPS |
