LG Electronics 17Z90P-N.APB7U1
Geekbench AI Score
3574
Single Precision Score
5317
Half Precision Score
8314
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | iantm |
| Upload Date | December 31 2025 05:42 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LG Electronics 17Z90P-N.APB7U1 |
| Motherboard | LG Electronics 17Z90P |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2496
464.2 IPS |
|
|
Image Classification (HP)
|
100% |
3851
716.2 IPS |
|
|
Image Classification (Q)
|
99% |
4995
931.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4096
66.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6991
113.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10857
176.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6268
7.31 IPS |
|
|
Pose Estimation (HP)
|
99% |
6023
7.03 IPS |
|
|
Pose Estimation (Q)
|
97% |
21603
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
2197
174.3 IPS |
|
|
Object Detection (HP)
|
100% |
3556
282.0 IPS |
|
|
Object Detection (Q)
|
90% |
5572
445.5 IPS |
|
|
Face Detection (SP)
|
100% |
6555
77.9 IPS |
|
|
Face Detection (HP)
|
100% |
9795
116.4 IPS |
|
|
Face Detection (Q)
|
100% |
15203
180.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7966
61.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13143
101.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
16289
126.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17115
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32918
42.3 IPS |
|
|
Style Transfer (Q)
|
98% |
61435
79.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3014
111.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5339
197.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9281
343.7 IPS |
|
|
Text Classification (SP)
|
71% |
784
1.13 KIPS |
|
|
Text Classification (HP)
|
71% |
757
1.10 KIPS |
|
|
Text Classification (Q)
|
92% |
915
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1144
19.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1829
31.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1872
32.2 IPS |
