LG Electronics 17Z90TL-H.AUB7U1
Geekbench AI Score
3033
Single Precision Score
1364
Half Precision Score
6241
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 01 2025 10:14 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LG Electronics 17Z90TL-H.AUB7U1 |
| Motherboard | LG Electronics 17Z90TL |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 258V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2444
454.6 IPS |
|
|
Image Classification (HP)
|
100% |
614
114.1 IPS |
|
|
Image Classification (Q)
|
99% |
5524
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1562
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1029
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
7371
119.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4428
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
2870
3.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
14477
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2009
159.4 IPS |
|
|
Object Detection (HP)
|
100% |
631
50.1 IPS |
|
|
Object Detection (Q)
|
86% |
5069
407.4 IPS |
|
|
Face Detection (SP)
|
100% |
6123
72.8 IPS |
|
|
Face Detection (HP)
|
100% |
1537
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
7753
92.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5573
42.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1868
14.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
12366
98.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10594
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7353
9.45 IPS |
|
|
Style Transfer (Q)
|
98% |
19993
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1974
72.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1530
56.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4487
166.1 IPS |
|
|
Text Classification (SP)
|
100% |
1328
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
658
878.2 IPS |
|
|
Text Classification (Q)
|
97% |
1319
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2050
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
921
15.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2647
53.2 IPS |
