LG Electronics 16T90SP-KD79K
Geekbench ML Score
2517
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | April 26 2024 06:59 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1256
235.0 IPS |
|
|
Image Classification (F16)
|
100% |
1255
234.9 IPS |
|
|
Image Classification (I8)
|
99% |
2124
397.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1181
19.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1182
19.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1948
32.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
4840
5.86 IPS |
|
|
Pose Estimation (F16)
|
100% |
4805
5.82 IPS |
|
|
Pose Estimation (I8)
|
100% |
18144
22.0 IPS |
|
|
Object Detection (F32)
|
100% |
1235
92.2 IPS |
|
|
Object Detection (F16)
|
100% |
1230
91.8 IPS |
|
|
Object Detection (I8)
|
62% |
1089
81.3 IPS |
|
|
Face Detection (F32)
|
100% |
3134
37.3 IPS |
|
|
Face Detection (F16)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (I8)
|
89% |
3086
36.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
4888
37.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
5030
39.0 IPS |
|
|
Depth Estimation (I8)
|
96% |
9735
75.5 IPS |
|
|
Style Transfer (F32)
|
100% |
11725
15.4 IPS |
|
|
Style Transfer (F16)
|
100% |
11701
15.4 IPS |
|
|
Style Transfer (I8)
|
98% |
17107
22.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2146
76.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2194
78.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3084
110.2 IPS |
|
|
Text Classification (F32)
|
100% |
814
1.17 KIPS |
|
|
Text Classification (F16)
|
100% |
827
1.19 KIPS |
|
|
Text Classification (I8)
|
98% |
312
448.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1265
23.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1258
23.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2021
37.2 IPS |
