LG Electronics 16Z90SP-A.AD75B
Geekbench AI Score
2132
Single Precision Score
834
Half Precision Score
3607
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jmvioque |
| Upload Date | April 15 2025 01:54 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LG Electronics 16Z90SP-A.AD75B |
| Motherboard | LG Electronics 16Z90SP |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1462
271.8 IPS |
|
|
Image Classification (HP)
|
100% |
312
58.1 IPS |
|
|
Image Classification (Q)
|
99% |
3937
734.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
908
14.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.82 IPS |
|
|
Image Segmentation (Q)
|
98% |
1654
26.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3435
4.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
2515
2.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
13486
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1239
98.3 IPS |
|
|
Object Detection (HP)
|
100% |
349
27.7 IPS |
|
|
Object Detection (Q)
|
86% |
3095
248.7 IPS |
|
|
Face Detection (SP)
|
100% |
4219
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
954
11.3 IPS |
|
|
Face Detection (Q)
|
97% |
5408
64.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4718
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1054
8.12 IPS |
|
|
Depth Estimation (Q)
|
78% |
6750
53.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8945
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6232
8.01 IPS |
|
|
Style Transfer (Q)
|
98% |
9443
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1539
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1198
44.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2013
74.5 IPS |
|
|
Text Classification (SP)
|
100% |
988
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
350
467.6 IPS |
|
|
Text Classification (Q)
|
97% |
1033
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
474
8.17 IPS |
|
|
Machine Translation (Q)
|
65% |
1918
38.5 IPS |
