LG Electronics 14Z950-MF56L
Geekbench AI Score
350
Single Precision Score
214
Half Precision Score
456
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | eunu |
| Upload Date | August 03 2025 02:16 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-5300U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | LG Electronics 14Z950-MF56L |
| Motherboard | LG Electronics White Tip Mountain |
| CPU Information | |
|---|---|
| Name | Intel Core i5-5300U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 61 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
198
36.8 IPS |
|
|
Image Classification (HP)
|
100% |
95
17.6 IPS |
|
|
Image Classification (Q)
|
96% |
308
57.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
130
2.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
119
1.93 IPS |
|
|
Image Segmentation (Q)
|
97% |
293
4.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
412
0.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
297
0.35 IPS |
|
|
Pose Estimation (Q)
|
86% |
636
0.75 IPS |
|
|
Object Detection (SP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (HP)
|
100% |
103
8.20 IPS |
|
|
Object Detection (Q)
|
58% |
219
23.9 IPS |
|
|
Face Detection (SP)
|
100% |
515
6.12 IPS |
|
|
Face Detection (HP)
|
100% |
229
2.72 IPS |
|
|
Face Detection (Q)
|
96% |
721
8.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
535
4.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
276
2.13 IPS |
|
|
Depth Estimation (Q)
|
78% |
841
6.71 IPS |
|
|
Style Transfer (SP)
|
100% |
1278
1.64 IPS |
|
|
Style Transfer (HP)
|
100% |
1035
1.33 IPS |
|
|
Style Transfer (Q)
|
87% |
1546
2.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
280
10.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
246
9.09 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
422
15.7 IPS |
|
|
Text Classification (SP)
|
100% |
347
463.8 IPS |
|
|
Text Classification (HP)
|
100% |
231
308.9 IPS |
|
|
Text Classification (Q)
|
97% |
171
228.9 IPS |
|
|
Machine Translation (SP)
|
100% |
397
6.83 IPS |
|
|
Machine Translation (HP)
|
100% |
160
2.76 IPS |
|
|
Machine Translation (Q)
|
68% |
458
8.85 IPS |
