LG Electronics 16Z90Q-K.AD78A1
Geekbench ML Score
2095
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 26 2023 04:11 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LG Electronics 16Z90Q-K.AD78A1 |
| Motherboard | LG Electronics 16Z90Q |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
964
180.3 IPS |
|
|
Image Classification (F16)
|
100% |
963
180.1 IPS |
|
|
Image Classification (I8)
|
100% |
798
149.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1640
27.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1716
28.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1227
20.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
11844
14.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
11793
14.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
5705
6.91 IPS |
|
|
Object Detection (F32)
|
100% |
922
68.8 IPS |
|
|
Object Detection (F16)
|
100% |
929
69.3 IPS |
|
|
Object Detection (I8)
|
54% |
805
60.1 IPS |
|
|
Face Detection (F32)
|
100% |
2449
29.1 IPS |
|
|
Face Detection (F16)
|
100% |
2433
28.9 IPS |
|
|
Face Detection (I8)
|
89% |
1692
20.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5595
43.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
5623
43.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
3946
30.6 IPS |
|
|
Style Transfer (F32)
|
100% |
23915
31.5 IPS |
|
|
Style Transfer (F16)
|
100% |
22391
29.5 IPS |
|
|
Style Transfer (I8)
|
98% |
15258
20.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3064
109.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2951
105.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1439
51.4 IPS |
|
|
Text Classification (F32)
|
100% |
584
839.1 IPS |
|
|
Text Classification (F16)
|
100% |
494
709.9 IPS |
|
|
Text Classification (I8)
|
98% |
319
458.2 IPS |
|
|
Machine Translation (F32)
|
100% |
748
13.8 IPS |
|
|
Machine Translation (F16)
|
100% |
757
13.9 IPS |
|
|
Machine Translation (I8)
|
70% |
446
8.21 IPS |
