LG Electronics 17Z90P-N.APB7U1
Geekbench AI Score
2731
Single Precision Score
2942
Half Precision Score
1770
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | iantm |
| Upload Date | December 31 2025 05:50 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1149
213.7 IPS |
|
|
Image Classification (HP)
|
100% |
1327
246.8 IPS |
|
|
Image Classification (Q)
|
100% |
1067
198.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1795
29.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1327
21.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10908
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
11561
13.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
5741
6.72 IPS |
|
|
Object Detection (SP)
|
100% |
1442
114.4 IPS |
|
|
Object Detection (HP)
|
98% |
1359
108.1 IPS |
|
|
Object Detection (Q)
|
86% |
1201
96.5 IPS |
|
|
Face Detection (SP)
|
100% |
2915
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
3690
43.8 IPS |
|
|
Face Detection (Q)
|
97% |
2105
25.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4764
36.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
6560
50.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
4023
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24398
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31899
41.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15485
20.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3448
127.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4481
165.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1441
53.3 IPS |
|
|
Text Classification (SP)
|
100% |
643
858.1 IPS |
|
|
Text Classification (HP)
|
100% |
348
464.1 IPS |
|
|
Text Classification (Q)
|
97% |
376
504.2 IPS |
|
|
Machine Translation (SP)
|
100% |
949
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
895
15.4 IPS |
|
|
Machine Translation (Q)
|
70% |
436
8.18 IPS |
