SAMSUNG ELECTRONICS CO., LTD. 940XGK
Geekbench AI Score
2400
Single Precision Score
939
Half Precision Score
3767
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ricnecro |
| Upload Date | February 12 2025 05:56 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 940XGK |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP940XGK-KG2BR |
| Power Plan | SAMSUNG MODE |
| 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 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2076
386.0 IPS |
|
|
Image Classification (HP)
|
100% |
412
76.6 IPS |
|
|
Image Classification (Q)
|
99% |
4138
771.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1146
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
655
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2049
33.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4133
4.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2459
2.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
13345
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1630
129.3 IPS |
|
|
Object Detection (HP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (Q)
|
86% |
3273
263.1 IPS |
|
|
Face Detection (SP)
|
100% |
4504
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
968
11.5 IPS |
|
|
Face Detection (Q)
|
97% |
5636
67.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4769
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1242
9.57 IPS |
|
|
Depth Estimation (Q)
|
78% |
9632
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8644
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
5938
7.63 IPS |
|
|
Style Transfer (Q)
|
98% |
14863
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1534
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1184
43.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2578
95.5 IPS |
|
|
Text Classification (SP)
|
100% |
1035
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
522
697.1 IPS |
|
|
Text Classification (Q)
|
97% |
416
557.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1346
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
484
8.34 IPS |
|
|
Machine Translation (Q)
|
65% |
1799
36.2 IPS |
