SAMSUNG ELECTRONICS CO., LTD. 940XGK
Geekbench ML Score
2458
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | Atheris |
| Upload Date | September 03 2024 05:49 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 940XGK |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP940XGK-LG3IN |
| Power Plan | SAMSUNG MODE |
| 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% |
1045
195.5 IPS |
|
|
Image Classification (F16)
|
100% |
1070
200.2 IPS |
|
|
Image Classification (I8)
|
100% |
929
173.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1350
22.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1340
22.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1205
20.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
11453
13.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
11980
14.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
11240
13.6 IPS |
|
|
Object Detection (F32)
|
100% |
847
63.2 IPS |
|
|
Object Detection (F16)
|
100% |
979
73.1 IPS |
|
|
Object Detection (I8)
|
54% |
681
50.8 IPS |
|
|
Face Detection (F32)
|
100% |
1253
14.9 IPS |
|
|
Face Detection (F16)
|
100% |
1252
14.9 IPS |
|
|
Face Detection (I8)
|
89% |
1143
13.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6322
49.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
6207
48.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
5304
41.1 IPS |
|
|
Style Transfer (F32)
|
100% |
33578
44.2 IPS |
|
|
Style Transfer (F16)
|
100% |
34824
45.8 IPS |
|
|
Style Transfer (I8)
|
98% |
27394
36.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5666
202.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5990
213.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4003
143.0 IPS |
|
|
Text Classification (F32)
|
90% |
553
794.8 IPS |
|
|
Text Classification (F16)
|
90% |
585
840.5 IPS |
|
|
Text Classification (I8)
|
90% |
456
655.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1240
22.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1224
22.5 IPS |
|
|
Machine Translation (I8)
|
70% |
734
13.5 IPS |
