LG Electronics 17Z90TL-G.AU8BG
Geekbench AI Score
2486
Single Precision Score
1854
Half Precision Score
6669
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | ellveez |
| Upload Date | January 09 2026 03:20 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 258V |
| 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% |
1863
346.4 IPS |
|
|
Image Classification (HP)
|
100% |
1358
252.6 IPS |
|
|
Image Classification (Q)
|
100% |
5092
946.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1939
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
942
15.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4177
67.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2291
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
1635
1.91 IPS |
|
|
Pose Estimation (Q)
|
96% |
8342
9.77 IPS |
|
|
Object Detection (SP)
|
100% |
1406
111.5 IPS |
|
|
Object Detection (HP)
|
100% |
1091
86.5 IPS |
|
|
Object Detection (Q)
|
88% |
4383
351.4 IPS |
|
|
Face Detection (SP)
|
100% |
4318
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
3705
44.0 IPS |
|
|
Face Detection (Q)
|
100% |
10650
126.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3440
26.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2464
19.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
10966
85.3 IPS |
|
|
Style Transfer (SP)
|
100% |
6522
8.38 IPS |
|
|
Style Transfer (HP)
|
100% |
5090
6.54 IPS |
|
|
Style Transfer (Q)
|
98% |
25973
33.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1540
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1255
46.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6282
232.6 IPS |
|
|
Text Classification (SP)
|
100% |
1821
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1420
1.90 KIPS |
|
|
Text Classification (Q)
|
92% |
4099
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2855
49.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2551
43.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2868
49.4 IPS |
