LG Electronics 17Z90TL-G.AU8BG
Geekbench AI Score
10440
Single Precision Score
28441
Half Precision Score
34484
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ellveez |
| Upload Date | January 09 2026 03:13 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) (iGPU) |
| 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% |
6718
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
14460
2.69 KIPS |
|
|
Image Classification (Q)
|
100% |
18355
3.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8709
141.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
25764
417.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30994
502.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
23120
27.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
125854
146.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
251056
293.9 IPS |
|
|
Object Detection (SP)
|
100% |
6096
483.5 IPS |
|
|
Object Detection (HP)
|
100% |
15796
1.25 KIPS |
|
|
Object Detection (Q)
|
88% |
22590
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
12542
149.0 IPS |
|
|
Face Detection (HP)
|
100% |
31425
373.4 IPS |
|
|
Face Detection (Q)
|
100% |
47011
558.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
20705
159.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
55887
430.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
64875
504.5 IPS |
|
|
Style Transfer (SP)
|
100% |
57626
74.1 IPS |
|
|
Style Transfer (HP)
|
100% |
201943
259.6 IPS |
|
|
Style Transfer (Q)
|
98% |
278990
359.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9410
347.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31391
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39366
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
4127
5.51 KIPS |
|
|
Text Classification (HP)
|
100% |
6107
8.15 KIPS |
|
|
Text Classification (Q)
|
92% |
3239
4.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3212
55.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6878
118.9 IPS |
|
|
Machine Translation (Q)
|
100% |
6794
117.0 IPS |
