LG Electronics 15Z960-LR10K
Geekbench AI Score
115
Single Precision Score
92
Half Precision Score
220
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | June 19 2025 11:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium 4405U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | LG Electronics 15Z960-LR10K |
| Motherboard | LG Electronics 15Z960 |
| CPU Information | |
|---|---|
| Name | Intel Pentium 4405U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
105
19.6 IPS |
|
|
Image Classification (HP)
|
100% |
75
14.0 IPS |
|
|
Image Classification (Q)
|
96% |
251
46.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
120
1.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
103
1.66 IPS |
|
|
Image Segmentation (Q)
|
97% |
215
3.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
123
0.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
107
0.12 IPS |
|
|
Pose Estimation (Q)
|
86% |
303
0.36 IPS |
|
|
Object Detection (SP)
|
100% |
51
4.03 IPS |
|
|
Object Detection (HP)
|
100% |
37
2.95 IPS |
|
|
Object Detection (Q)
|
58% |
79
8.65 IPS |
|
|
Face Detection (SP)
|
100% |
161
1.91 IPS |
|
|
Face Detection (HP)
|
100% |
106
1.26 IPS |
|
|
Face Detection (Q)
|
96% |
306
3.65 IPS |
|
|
Depth Estimation (SP)
|
100% |
165
1.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
131
1.01 IPS |
|
|
Depth Estimation (Q)
|
78% |
255
2.03 IPS |
|
|
Style Transfer (SP)
|
100% |
253
0.33 IPS |
|
|
Style Transfer (HP)
|
100% |
317
0.41 IPS |
|
|
Style Transfer (Q)
|
87% |
647
0.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68
2.50 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
66
2.44 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
160
5.94 IPS |
|
|
Text Classification (SP)
|
100% |
78
103.8 IPS |
|
|
Text Classification (HP)
|
100% |
61
81.6 IPS |
|
|
Text Classification (Q)
|
97% |
94
125.4 IPS |
|
|
Machine Translation (SP)
|
100% |
150
2.58 IPS |
|
|
Machine Translation (HP)
|
100% |
81
1.40 IPS |
|
|
Machine Translation (Q)
|
68% |
275
5.32 IPS |
