LG Electronics 17Z90P-N.APB7U1
Geekbench AI Score
2871
Single Precision Score
3022
Half Precision Score
1791
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | iantm |
| Upload Date | August 20 2025 07:58 PM |
| Views | 6 |
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% |
1213
225.6 IPS |
|
|
Image Classification (HP)
|
100% |
1336
248.5 IPS |
|
|
Image Classification (Q)
|
100% |
1072
199.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1801
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2191
35.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1319
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11663
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12685
14.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
5845
6.85 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
98% |
1368
108.8 IPS |
|
|
Object Detection (Q)
|
86% |
1206
97.0 IPS |
|
|
Face Detection (SP)
|
100% |
2922
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
3696
43.9 IPS |
|
|
Face Detection (Q)
|
97% |
2111
25.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5925
45.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
6864
53.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
4087
32.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24467
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31928
41.0 IPS |
|
|
Style Transfer (Q)
|
98% |
15471
19.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3408
125.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4488
165.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1453
53.8 IPS |
|
|
Text Classification (SP)
|
100% |
712
950.1 IPS |
|
|
Text Classification (HP)
|
100% |
366
488.7 IPS |
|
|
Text Classification (Q)
|
97% |
405
542.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1004
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (Q)
|
70% |
434
8.14 IPS |
