LG Electronics 15ZT90P-G.AX33U1
Geekbench AI Score
1563
Single Precision Score
1564
Half Precision Score
4226
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | iantm |
| Upload Date | February 04 2026 01:30 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i3-1115G4 @ 3.00GHz |
| 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% |
952
177.0 IPS |
|
|
Image Classification (HP)
|
100% |
936
174.0 IPS |
|
|
Image Classification (Q)
|
100% |
2898
538.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1082
17.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2679
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1709
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
1662
1.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
6296
7.37 IPS |
|
|
Object Detection (SP)
|
100% |
892
70.8 IPS |
|
|
Object Detection (HP)
|
100% |
904
71.7 IPS |
|
|
Object Detection (Q)
|
88% |
2783
223.1 IPS |
|
|
Face Detection (SP)
|
100% |
2537
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
2502
29.7 IPS |
|
|
Face Detection (Q)
|
100% |
6827
81.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2306
17.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2318
17.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
7064
54.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4558
5.86 IPS |
|
|
Style Transfer (HP)
|
100% |
4562
5.86 IPS |
|
|
Style Transfer (Q)
|
98% |
16546
21.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
990
36.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1011
37.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3369
124.8 IPS |
|
|
Text Classification (SP)
|
100% |
1168
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
1168
1.56 KIPS |
|
|
Text Classification (Q)
|
92% |
2735
3.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1815
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1844
31.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1819
31.3 IPS |
