LG Electronics 16Z90TS-G.AU89G
Geekbench AI Score
3079
Single Precision Score
2197
Half Precision Score
7995
Quantized Score
Geekbench AI 1.7.0 Pro for Windows AVX2
Result Information
| User | Nerdbench |
| Upload Date | February 28 2026 09:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 256V |
| 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% |
1904
354.0 IPS |
|
|
Image Classification (HP)
|
100% |
1400
260.4 IPS |
|
|
Image Classification (Q)
|
100% |
5297
985.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1104
17.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4912
79.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3385
3.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
2221
2.59 IPS |
|
|
Pose Estimation (Q)
|
96% |
11008
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
1697
134.6 IPS |
|
|
Object Detection (HP)
|
100% |
1288
102.2 IPS |
|
|
Object Detection (Q)
|
88% |
5212
417.8 IPS |
|
|
Face Detection (SP)
|
100% |
5288
62.8 IPS |
|
|
Face Detection (HP)
|
100% |
4283
50.9 IPS |
|
|
Face Detection (Q)
|
100% |
13000
154.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4504
34.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3280
25.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
13822
107.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9530
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6512
8.37 IPS |
|
|
Style Transfer (Q)
|
98% |
36683
47.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2061
76.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1521
56.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7695
285.0 IPS |
|
|
Text Classification (SP)
|
100% |
2151
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1502
2.00 KIPS |
|
|
Text Classification (Q)
|
92% |
4396
5.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3308
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2846
49.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3209
55.3 IPS |
