LG Electronics 15Z95N-GP79ML
Geekbench AI Score
1192
Single Precision Score
640
Half Precision Score
2415
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | eunu |
| Upload Date | October 16 2025 11:09 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | LG Electronics 15Z95N-GP79ML |
| Motherboard | LG Electronics 15Z95N |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
991
184.3 IPS |
|
|
Image Classification (HP)
|
100% |
309
57.4 IPS |
|
|
Image Classification (Q)
|
99% |
2449
456.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
417
6.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
1502
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1418
1.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1183
1.38 IPS |
|
|
Pose Estimation (Q)
|
94% |
5658
6.63 IPS |
|
|
Object Detection (SP)
|
100% |
777
61.7 IPS |
|
|
Object Detection (HP)
|
100% |
314
24.9 IPS |
|
|
Object Detection (Q)
|
86% |
1996
160.4 IPS |
|
|
Face Detection (SP)
|
100% |
2039
24.2 IPS |
|
|
Face Detection (HP)
|
100% |
774
9.20 IPS |
|
|
Face Detection (Q)
|
97% |
3757
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1866
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
876
6.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
4881
38.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3584
4.61 IPS |
|
|
Style Transfer (HP)
|
100% |
2873
3.69 IPS |
|
|
Style Transfer (Q)
|
98% |
8998
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
763
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
585
21.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2409
89.2 IPS |
|
|
Text Classification (SP)
|
100% |
779
1.04 KIPS |
|
|
Text Classification (HP)
|
100% |
496
662.7 IPS |
|
|
Text Classification (Q)
|
97% |
305
408.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1054
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
431
7.42 IPS |
|
|
Machine Translation (Q)
|
65% |
1342
27.0 IPS |
