SAMSUNG ELECTRONICS CO., LTD. 940XGK
Geekbench AI Score
2494
Single Precision Score
1034
Half Precision Score
3575
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | rjmaybin |
| Upload Date | July 06 2025 04:58 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| 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% |
2133
396.6 IPS |
|
|
Image Classification (HP)
|
100% |
398
74.1 IPS |
|
|
Image Classification (Q)
|
99% |
4437
827.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4290
69.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4238
4.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
2967
3.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
10267
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.9 IPS |
|
|
Object Detection (HP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (Q)
|
86% |
3952
317.6 IPS |
|
|
Face Detection (SP)
|
100% |
5467
65.0 IPS |
|
|
Face Detection (HP)
|
100% |
1048
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
5556
66.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5046
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1438
11.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
9482
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10118
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6812
8.76 IPS |
|
|
Style Transfer (Q)
|
98% |
13832
17.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1713
63.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1325
48.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1067
39.5 IPS |
|
|
Text Classification (SP)
|
100% |
850
1.13 KIPS |
|
|
Text Classification (HP)
|
100% |
510
680.1 IPS |
|
|
Text Classification (Q)
|
97% |
321
430.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1244
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
575
9.90 IPS |
|
|
Machine Translation (Q)
|
65% |
1772
35.6 IPS |
