LG Electronics 17Z90P-N.APB7U1
Geekbench AI Score
2347
Single Precision Score
2346
Half Precision Score
6354
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | iantm |
| Upload Date | December 31 2025 05:38 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz |
| 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% |
1635
304.1 IPS |
|
|
Image Classification (HP)
|
100% |
1702
316.6 IPS |
|
|
Image Classification (Q)
|
100% |
4973
924.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1909
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4804
77.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2566
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2212
2.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
9150
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1230
97.6 IPS |
|
|
Object Detection (HP)
|
100% |
1285
101.9 IPS |
|
|
Object Detection (Q)
|
88% |
4094
328.2 IPS |
|
|
Face Detection (SP)
|
100% |
3962
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
3878
46.1 IPS |
|
|
Face Detection (Q)
|
100% |
10542
125.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3304
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3363
25.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
10238
79.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6431
8.27 IPS |
|
|
Style Transfer (HP)
|
100% |
6460
8.30 IPS |
|
|
Style Transfer (Q)
|
98% |
24105
31.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1409
52.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1428
52.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5125
189.8 IPS |
|
|
Text Classification (SP)
|
100% |
1684
2.25 KIPS |
|
|
Text Classification (HP)
|
100% |
1717
2.29 KIPS |
|
|
Text Classification (Q)
|
92% |
3540
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2580
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2605
44.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2541
43.8 IPS |
