LG Electronics 16ZB90R-G.AA75G
Geekbench AI Score
2858
Single Precision Score
2870
Half Precision Score
1801
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | daromeer |
| Upload Date | May 07 2025 08:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LG Electronics 16ZB90R-G.AA75G |
| Motherboard | LG Electronics 16ZB90R |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1360P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1245
231.4 IPS |
|
|
Image Classification (HP)
|
100% |
1341
249.4 IPS |
|
|
Image Classification (Q)
|
100% |
1063
197.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1458
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10717
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
10984
12.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
5662
6.63 IPS |
|
|
Object Detection (SP)
|
100% |
1405
111.5 IPS |
|
|
Object Detection (HP)
|
98% |
1262
100.4 IPS |
|
|
Object Detection (Q)
|
86% |
1172
94.2 IPS |
|
|
Face Detection (SP)
|
100% |
2869
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
3475
41.3 IPS |
|
|
Face Detection (Q)
|
97% |
2118
25.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5830
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
6392
49.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
3982
31.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22861
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29741
38.2 IPS |
|
|
Style Transfer (Q)
|
98% |
15298
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3178
117.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4409
162.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1423
52.7 IPS |
|
|
Text Classification (SP)
|
100% |
879
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
377
503.4 IPS |
|
|
Text Classification (Q)
|
97% |
464
621.1 IPS |
|
|
Machine Translation (SP)
|
100% |
915
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
797
13.7 IPS |
|
|
Machine Translation (Q)
|
70% |
410
7.69 IPS |
