LG Electronics 16ZB90R-G.AA75G
Geekbench AI Score
4055
Single Precision Score
5472
Half Precision Score
8473
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | daromeer |
| Upload Date | May 07 2025 08:43 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2723
506.5 IPS |
|
|
Image Classification (HP)
|
100% |
4095
761.5 IPS |
|
|
Image Classification (Q)
|
99% |
5818
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4373
70.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6942
112.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9454
153.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8710
10.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
6482
7.56 IPS |
|
|
Pose Estimation (Q)
|
97% |
25755
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
2412
191.3 IPS |
|
|
Object Detection (HP)
|
100% |
3490
276.8 IPS |
|
|
Object Detection (Q)
|
90% |
5635
450.6 IPS |
|
|
Face Detection (SP)
|
100% |
6749
80.2 IPS |
|
|
Face Detection (HP)
|
100% |
9141
108.6 IPS |
|
|
Face Detection (Q)
|
100% |
13902
165.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8761
67.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
14168
109.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
16627
129.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20642
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
33441
43.0 IPS |
|
|
Style Transfer (Q)
|
98% |
65355
84.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3809
140.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5743
212.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9794
362.7 IPS |
|
|
Text Classification (SP)
|
71% |
985
1.42 KIPS |
|
|
Text Classification (HP)
|
71% |
1049
1.52 KIPS |
|
|
Text Classification (Q)
|
92% |
1125
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1051
18.1 IPS |
|
|
Machine Translation (HP)
|
96% |
1435
24.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1437
24.7 IPS |
