LG Electronics 14ZB90Q-G.AAC6U1
Geekbench ML Score
1320
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | mkrish3 |
| Upload Date | January 28 2025 09:56 PM |
| Views | 4 |
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% |
850
159.0 IPS |
|
|
Image Classification (F16)
|
100% |
836
156.5 IPS |
|
|
Image Classification (I8)
|
99% |
1361
254.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
500
8.35 IPS |
|
|
Image Segmentation (F16)
|
100% |
485
8.09 IPS |
|
|
Image Segmentation (I8)
|
98% |
1321
22.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
2178
2.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
1917
2.32 IPS |
|
|
Pose Estimation (I8)
|
100% |
5503
6.66 IPS |
|
|
Object Detection (F32)
|
100% |
764
57.0 IPS |
|
|
Object Detection (F16)
|
100% |
806
60.2 IPS |
|
|
Object Detection (I8)
|
62% |
730
54.5 IPS |
|
|
Face Detection (F32)
|
100% |
1010
12.0 IPS |
|
|
Face Detection (F16)
|
100% |
1805
21.5 IPS |
|
|
Face Detection (I8)
|
89% |
1704
20.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
1193
9.25 IPS |
|
|
Depth Estimation (F16)
|
100% |
1130
8.77 IPS |
|
|
Depth Estimation (I8)
|
96% |
3329
25.8 IPS |
|
|
Style Transfer (F32)
|
100% |
4182
5.50 IPS |
|
|
Style Transfer (F16)
|
100% |
4166
5.48 IPS |
|
|
Style Transfer (I8)
|
98% |
9121
12.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1241
44.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1464
52.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2159
77.1 IPS |
|
|
Text Classification (F32)
|
100% |
755
1.09 KIPS |
|
|
Text Classification (F16)
|
100% |
626
899.4 IPS |
|
|
Text Classification (I8)
|
98% |
556
799.0 IPS |
|
|
Machine Translation (F32)
|
100% |
701
12.9 IPS |
|
|
Machine Translation (F16)
|
100% |
567
10.4 IPS |
|
|
Machine Translation (I8)
|
67% |
1444
26.6 IPS |
