LG Electronics 14ZB90Q-G.AAC6U1
Geekbench ML Score
631
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 28 2025 10:40 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LG Electronics 14ZB90Q-G.AAC6U1 |
| Motherboard | LG Electronics 14ZB90Q |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1260P |
| Topology | 1 Processor, 12 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 48.0 KB x 8 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 18.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1080
202.1 IPS |
|
|
Image Classification (F16)
|
100% |
894
167.3 IPS |
|
|
Image Classification (I8)
|
99% |
1199
224.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
522
8.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
571
9.53 IPS |
|
|
Image Segmentation (I8)
|
98% |
647
10.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
909
1.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
1015
1.23 IPS |
|
|
Pose Estimation (I8)
|
100% |
1844
2.23 IPS |
|
|
Object Detection (F32)
|
100% |
257
19.2 IPS |
|
|
Object Detection (F16)
|
100% |
322
24.1 IPS |
|
|
Object Detection (I8)
|
62% |
296
22.1 IPS |
|
|
Face Detection (F32)
|
100% |
623
7.41 IPS |
|
|
Face Detection (F16)
|
100% |
674
8.01 IPS |
|
|
Face Detection (I8)
|
89% |
934
11.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
1515
11.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
1028
7.98 IPS |
|
|
Depth Estimation (I8)
|
96% |
2141
16.6 IPS |
|
|
Style Transfer (F32)
|
100% |
1887
2.48 IPS |
|
|
Style Transfer (F16)
|
100% |
2907
3.82 IPS |
|
|
Style Transfer (I8)
|
98% |
3492
4.59 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
370
13.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
307
11.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
563
20.1 IPS |
|
|
Text Classification (F32)
|
100% |
200
287.5 IPS |
|
|
Text Classification (F16)
|
100% |
207
297.0 IPS |
|
|
Text Classification (I8)
|
98% |
91
130.9 IPS |
|
|
Machine Translation (F32)
|
100% |
335
6.17 IPS |
|
|
Machine Translation (F16)
|
100% |
191
3.51 IPS |
|
|
Machine Translation (I8)
|
67% |
288
5.30 IPS |
