LG Electronics 16Z90TS-G.AU89G
Geekbench AI Score
3124
Single Precision Score
30195
Half Precision Score
48004
Quantized Score
Geekbench AI 1.7.0 Pro for Windows AVX2
Result Information
| User | Nerdbench |
| Upload Date | February 28 2026 09:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LG Electronics 16Z90TS-G.AU89G |
| Motherboard | LG Electronics 16Z90TS |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 256V |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1891
351.6 IPS |
|
|
Image Classification (HP)
|
100% |
17242
3.21 KIPS |
|
|
Image Classification (Q)
|
100% |
22628
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19269
312.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
29216
473.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3405
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
110209
128.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
241571
283.0 IPS |
|
|
Object Detection (SP)
|
100% |
1862
147.7 IPS |
|
|
Object Detection (HP)
|
100% |
17947
1.42 KIPS |
|
|
Object Detection (Q)
|
88% |
27563
2.21 KIPS |
|
|
Face Detection (SP)
|
100% |
5412
64.3 IPS |
|
|
Face Detection (HP)
|
100% |
42891
509.6 IPS |
|
|
Face Detection (Q)
|
100% |
96159
1.14 KIPS |
|
|
Depth Estimation (SP)
|
100% |
4755
36.6 IPS |
|
|
Depth Estimation (HP)
|
92% |
82016
636.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
164180
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
9985
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
235916
303.3 IPS |
|
|
Style Transfer (Q)
|
98% |
409307
527.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2052
75.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49118
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
75103
2.78 KIPS |
|
|
Text Classification (SP)
|
100% |
2144
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3133
4.18 KIPS |
|
|
Text Classification (Q)
|
92% |
4010
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3113
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7508
129.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7586
130.7 IPS |
