LG Electronics 16Z90S-GA5HK
Geekbench ML Score
2117
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | November 19 2024 10:33 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LG Electronics 16Z90S-GA5HK |
| Motherboard | LG Electronics 16Z90S |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 9 |
| L1 Data Cache | 48.0 KB x 9 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 18.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1182
221.2 IPS |
|
|
Image Classification (F16)
|
100% |
1141
213.5 IPS |
|
|
Image Classification (I8)
|
99% |
2128
398.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1085
18.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1081
18.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1826
30.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
3358
4.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
3294
3.99 IPS |
|
|
Pose Estimation (I8)
|
100% |
13683
16.6 IPS |
|
|
Object Detection (F32)
|
100% |
1188
88.7 IPS |
|
|
Object Detection (F16)
|
100% |
1098
82.0 IPS |
|
|
Object Detection (I8)
|
62% |
1064
79.4 IPS |
|
|
Face Detection (F32)
|
100% |
2602
30.9 IPS |
|
|
Face Detection (F16)
|
100% |
2535
30.1 IPS |
|
|
Face Detection (I8)
|
89% |
2628
31.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3553
27.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
3517
27.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
8510
66.0 IPS |
|
|
Style Transfer (F32)
|
100% |
8143
10.7 IPS |
|
|
Style Transfer (F16)
|
100% |
7871
10.4 IPS |
|
|
Style Transfer (I8)
|
98% |
13747
18.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1524
54.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1648
58.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2711
96.8 IPS |
|
|
Text Classification (F32)
|
100% |
834
1.20 KIPS |
|
|
Text Classification (F16)
|
100% |
849
1.22 KIPS |
|
|
Text Classification (I8)
|
98% |
343
492.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1118
20.6 IPS |
|
|
Machine Translation (F16)
|
100% |
999
18.4 IPS |
|
|
Machine Translation (I8)
|
67% |
1546
28.5 IPS |
