LG Electronics 17Z90TL-G.AU8BG
Geekbench AI Score
2709
Single Precision Score
27174
Half Precision Score
47862
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ellveez |
| Upload Date | January 09 2026 03:04 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LG Electronics 17Z90TL-G.AU8BG |
| Motherboard | LG Electronics 17Z90TL |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 258V |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1832
340.7 IPS |
|
|
Image Classification (HP)
|
100% |
15138
2.82 KIPS |
|
|
Image Classification (Q)
|
100% |
22150
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2269
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17820
288.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
30998
502.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2724
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
110266
128.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
248007
290.5 IPS |
|
|
Object Detection (SP)
|
100% |
1376
109.2 IPS |
|
|
Object Detection (HP)
|
100% |
15892
1.26 KIPS |
|
|
Object Detection (Q)
|
88% |
27489
2.20 KIPS |
|
|
Face Detection (SP)
|
100% |
4558
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
32778
389.5 IPS |
|
|
Face Detection (Q)
|
100% |
90165
1.07 KIPS |
|
|
Depth Estimation (SP)
|
100% |
3806
29.3 IPS |
|
|
Depth Estimation (HP)
|
92% |
72012
558.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
157506
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
7854
10.1 IPS |
|
|
Style Transfer (HP)
|
100% |
187851
241.5 IPS |
|
|
Style Transfer (Q)
|
98% |
362224
467.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1736
64.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46125
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84686
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2006
2.68 KIPS |
|
|
Text Classification (HP)
|
100% |
3091
4.13 KIPS |
|
|
Text Classification (Q)
|
92% |
3652
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2888
49.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7349
126.6 IPS |
|
|
Machine Translation (Q)
|
100% |
8471
145.9 IPS |
