LG Electronics 15Z90ST-G.AD8BA1
Geekbench ML Score
2342
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 15 2024 04:37 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LG Electronics 15Z90ST-G.AD8BA1 |
| Motherboard | LG Electronics 15Z90ST |
| Power Plan | Balanced |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1049
196.4 IPS |
|
|
Image Classification (F16)
|
100% |
1182
221.2 IPS |
|
|
Image Classification (I8)
|
99% |
2236
418.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1136
19.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1133
18.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
1801
30.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
4342
5.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
4353
5.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
15529
18.8 IPS |
|
|
Object Detection (F32)
|
100% |
1254
93.6 IPS |
|
|
Object Detection (F16)
|
100% |
1022
76.3 IPS |
|
|
Object Detection (I8)
|
62% |
1131
84.4 IPS |
|
|
Face Detection (F32)
|
100% |
3006
35.7 IPS |
|
|
Face Detection (F16)
|
100% |
3067
36.5 IPS |
|
|
Face Detection (I8)
|
89% |
2877
34.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
4335
33.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
4032
31.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
9104
70.6 IPS |
|
|
Style Transfer (F32)
|
100% |
10001
13.2 IPS |
|
|
Style Transfer (F16)
|
100% |
10646
14.0 IPS |
|
|
Style Transfer (I8)
|
98% |
15553
20.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2113
75.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1980
70.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3073
109.7 IPS |
|
|
Text Classification (F32)
|
100% |
857
1.23 KIPS |
|
|
Text Classification (F16)
|
100% |
863
1.24 KIPS |
|
|
Text Classification (I8)
|
98% |
293
421.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1080
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1159
21.3 IPS |
|
|
Machine Translation (I8)
|
67% |
1850
34.0 IPS |
