LG Electronics 16Z90S-H.ADB9U1
Geekbench AI Score
1703
Single Precision Score
7632
Half Precision Score
10612
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 06 2025 12:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LG Electronics 16Z90S-H.ADB9U1 |
| Motherboard | LG Electronics 16Z90S |
| Power Plan | Balanced |
| 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% |
1059
197.0 IPS |
|
|
Image Classification (HP)
|
100% |
3708
689.6 IPS |
|
|
Image Classification (Q)
|
100% |
5847
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1560
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2384
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2874
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2534
2.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
29507
34.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
65110
76.3 IPS |
|
|
Object Detection (SP)
|
100% |
862
68.3 IPS |
|
|
Object Detection (HP)
|
100% |
5362
425.3 IPS |
|
|
Object Detection (Q)
|
87% |
8659
695.0 IPS |
|
|
Face Detection (SP)
|
100% |
2902
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
14474
172.0 IPS |
|
|
Face Detection (Q)
|
100% |
17404
206.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1974
15.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13131
101.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
15695
122.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4997
6.42 IPS |
|
|
Style Transfer (HP)
|
100% |
38422
49.4 IPS |
|
|
Style Transfer (Q)
|
98% |
69174
89.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
965
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9701
358.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17361
642.9 IPS |
|
|
Text Classification (SP)
|
100% |
1286
1.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1784
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
1742
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1609
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3797
65.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3346
57.6 IPS |
