LG Electronics 14ZB90Q-G.AAC6U1
Geekbench ML Score
2086
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | mkrish3 |
| Upload Date | January 28 2025 10:45 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LG Electronics 14ZB90Q-G.AAC6U1 |
| Motherboard | LG Electronics 14ZB90Q |
| Power Plan | High performance |
| 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 | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
867
162.3 IPS |
|
|
Image Classification (F16)
|
100% |
953
178.3 IPS |
|
|
Image Classification (I8)
|
100% |
827
154.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1583
26.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1400
23.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1108
18.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
7702
9.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
6621
8.02 IPS |
|
|
Pose Estimation (I8)
|
100% |
3768
4.56 IPS |
|
|
Object Detection (F32)
|
100% |
859
64.1 IPS |
|
|
Object Detection (F16)
|
100% |
901
67.2 IPS |
|
|
Object Detection (I8)
|
54% |
721
53.8 IPS |
|
|
Face Detection (F32)
|
100% |
2417
28.7 IPS |
|
|
Face Detection (F16)
|
100% |
2357
28.0 IPS |
|
|
Face Detection (I8)
|
89% |
1625
19.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5401
41.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
5384
41.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
3897
30.2 IPS |
|
|
Style Transfer (F32)
|
100% |
23095
30.4 IPS |
|
|
Style Transfer (F16)
|
100% |
22972
30.2 IPS |
|
|
Style Transfer (I8)
|
98% |
14984
19.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3301
117.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3331
119.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1449
51.7 IPS |
|
|
Text Classification (F32)
|
100% |
859
1.23 KIPS |
|
|
Text Classification (F16)
|
100% |
809
1.16 KIPS |
|
|
Text Classification (I8)
|
98% |
461
662.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1001
18.4 IPS |
|
|
Machine Translation (F16)
|
100% |
985
18.1 IPS |
|
|
Machine Translation (I8)
|
70% |
507
9.32 IPS |
