LG Electronics 16T90SP-KD79K
Geekbench ML Score
2612
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2024 07:02 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LG Electronics 16T90SP-KD79K |
| Motherboard | LG Electronics 16T90SP |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1159
216.8 IPS |
|
|
Image Classification (F16)
|
100% |
1134
212.2 IPS |
|
|
Image Classification (I8)
|
100% |
1027
192.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1367
22.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1412
23.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1246
20.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
12729
15.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
12640
15.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
11219
13.6 IPS |
|
|
Object Detection (F32)
|
100% |
1022
76.3 IPS |
|
|
Object Detection (F16)
|
100% |
1014
75.7 IPS |
|
|
Object Detection (I8)
|
54% |
934
69.7 IPS |
|
|
Face Detection (F32)
|
100% |
1310
15.6 IPS |
|
|
Face Detection (F16)
|
100% |
1311
15.6 IPS |
|
|
Face Detection (I8)
|
89% |
1176
14.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6815
52.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
6726
52.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
5745
44.6 IPS |
|
|
Style Transfer (F32)
|
100% |
36667
48.2 IPS |
|
|
Style Transfer (F16)
|
100% |
37041
48.7 IPS |
|
|
Style Transfer (I8)
|
98% |
28844
37.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5191
185.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5991
213.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4235
151.2 IPS |
|
|
Text Classification (F32)
|
90% |
587
843.7 IPS |
|
|
Text Classification (F16)
|
90% |
638
917.0 IPS |
|
|
Text Classification (I8)
|
90% |
476
684.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1256
23.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1249
23.0 IPS |
|
|
Machine Translation (I8)
|
70% |
749
13.8 IPS |
