LG Electronics 15ZG90S-GP5HKN
Geekbench AI Score
1812
Single Precision Score
7154
Half Precision Score
9733
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 04:45 AM |
| Views | 2 |
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 15ZG90S-GP5HKN |
| Motherboard | LG Electronics 15Z90S |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
969
180.2 IPS |
|
|
Image Classification (HP)
|
100% |
3368
626.4 IPS |
|
|
Image Classification (Q)
|
56% |
3105
868.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
564
9.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
2446
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3352
54.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3138
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
28249
33.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
62159
72.8 IPS |
|
|
Object Detection (SP)
|
100% |
1142
90.6 IPS |
|
|
Object Detection (HP)
|
100% |
4865
385.9 IPS |
|
|
Object Detection (Q)
|
87% |
6267
503.0 IPS |
|
|
Face Detection (SP)
|
100% |
3418
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
13278
157.8 IPS |
|
|
Face Detection (Q)
|
100% |
21148
251.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3224
24.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
15785
121.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
28121
218.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9156
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
44211
56.8 IPS |
|
|
Style Transfer (Q)
|
98% |
71760
92.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1457
53.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10375
383.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16847
623.9 IPS |
|
|
Text Classification (SP)
|
100% |
1001
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1285
1.71 KIPS |
|
|
Text Classification (Q)
|
92% |
967
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1327
22.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2514
43.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2707
46.6 IPS |
