SAMSUNG ELECTRONICS CO., LTD. 940XGK
Geekbench AI Score
4161
Single Precision Score
4396
Half Precision Score
3074
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | rjmaybin |
| Upload Date | July 06 2025 04:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 940XGK |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP940XGK-KG1US |
| 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1914
355.9 IPS |
|
|
Image Classification (HP)
|
100% |
1847
343.5 IPS |
|
|
Image Classification (Q)
|
100% |
1687
313.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3063
49.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3772
61.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2500
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15133
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
22733
26.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12484
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
2286
181.4 IPS |
|
|
Object Detection (HP)
|
98% |
2240
178.3 IPS |
|
|
Object Detection (Q)
|
86% |
2052
164.9 IPS |
|
|
Face Detection (SP)
|
100% |
4628
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
5232
62.2 IPS |
|
|
Face Detection (Q)
|
97% |
3443
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8711
67.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8928
69.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
6738
54.1 IPS |
|
|
Style Transfer (SP)
|
100% |
41855
53.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54115
69.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31499
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6644
245.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6730
248.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3763
139.4 IPS |
|
|
Text Classification (SP)
|
86% |
531
717.7 IPS |
|
|
Text Classification (HP)
|
99% |
372
496.6 IPS |
|
|
Text Classification (Q)
|
84% |
355
481.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1202
20.7 IPS |
|
|
Machine Translation (Q)
|
70% |
716
13.4 IPS |
