LG Electronics 17Z90P-N.APB7U1
Geekbench AI Score
2013
Single Precision Score
891
Half Precision Score
4184
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | iantm |
| Upload Date | August 20 2025 07:41 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| 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% |
1652
307.2 IPS |
|
|
Image Classification (HP)
|
100% |
426
79.3 IPS |
|
|
Image Classification (Q)
|
99% |
3784
705.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1040
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
618
10.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4022
65.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2691
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2080
2.43 IPS |
|
|
Pose Estimation (Q)
|
94% |
8228
9.65 IPS |
|
|
Object Detection (SP)
|
100% |
1321
104.8 IPS |
|
|
Object Detection (HP)
|
100% |
470
37.2 IPS |
|
|
Object Detection (Q)
|
86% |
3163
254.2 IPS |
|
|
Face Detection (SP)
|
100% |
3413
40.5 IPS |
|
|
Face Detection (HP)
|
100% |
1021
12.1 IPS |
|
|
Face Detection (Q)
|
97% |
5360
63.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3324
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1284
9.89 IPS |
|
|
Depth Estimation (Q)
|
78% |
7401
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6107
7.85 IPS |
|
|
Style Transfer (HP)
|
100% |
3054
3.93 IPS |
|
|
Style Transfer (Q)
|
98% |
11531
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1232
45.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1016
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3679
136.2 IPS |
|
|
Text Classification (SP)
|
100% |
1320
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
597
796.4 IPS |
|
|
Text Classification (Q)
|
97% |
1242
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1595
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
505
8.70 IPS |
|
|
Machine Translation (Q)
|
65% |
1987
39.9 IPS |
