LG Electronics 16Z90S-GA5HK
Geekbench ML Score
2178
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | November 19 2024 10:38 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 | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
765
143.2 IPS |
|
|
Image Classification (F16)
|
100% |
785
147.0 IPS |
|
|
Image Classification (I8)
|
100% |
722
135.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1180
19.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1174
19.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
940
15.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
11297
13.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
11022
13.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
9916
12.0 IPS |
|
|
Object Detection (F32)
|
100% |
712
53.2 IPS |
|
|
Object Detection (F16)
|
100% |
725
54.1 IPS |
|
|
Object Detection (I8)
|
54% |
669
49.9 IPS |
|
|
Face Detection (F32)
|
100% |
1172
13.9 IPS |
|
|
Face Detection (F16)
|
100% |
1220
14.5 IPS |
|
|
Face Detection (I8)
|
89% |
1087
12.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5016
38.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
4985
38.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
4524
35.1 IPS |
|
|
Style Transfer (F32)
|
100% |
30673
40.3 IPS |
|
|
Style Transfer (F16)
|
100% |
29668
39.0 IPS |
|
|
Style Transfer (I8)
|
98% |
23853
31.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4986
178.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4692
167.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3391
121.1 IPS |
|
|
Text Classification (F32)
|
90% |
639
918.8 IPS |
|
|
Text Classification (F16)
|
90% |
601
864.1 IPS |
|
|
Text Classification (I8)
|
90% |
456
654.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1242
22.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1236
22.7 IPS |
|
|
Machine Translation (I8)
|
70% |
712
13.1 IPS |
