SAMSUNG ELECTRONICS CO., LTD. 950XGK
Geekbench AI Score
2430
Single Precision Score
1142
Half Precision Score
4817
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 11 2025 08:08 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 950XGK |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT951XGK-K08/C |
| 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% |
2141
398.2 IPS |
|
|
Image Classification (HP)
|
100% |
486
90.3 IPS |
|
|
Image Classification (Q)
|
99% |
2130
397.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
715
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
835
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5955
96.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3980
4.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
2885
3.37 IPS |
|
|
Pose Estimation (Q)
|
94% |
13737
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
1752
139.0 IPS |
|
|
Object Detection (HP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (Q)
|
86% |
3666
294.7 IPS |
|
|
Face Detection (SP)
|
100% |
4767
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
1274
15.1 IPS |
|
|
Face Detection (Q)
|
97% |
6633
79.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5337
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1558
12.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
11594
92.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10668
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
7340
9.44 IPS |
|
|
Style Transfer (Q)
|
98% |
16759
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1919
70.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1459
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3694
136.8 IPS |
|
|
Text Classification (SP)
|
100% |
944
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
593
792.0 IPS |
|
|
Text Classification (Q)
|
97% |
1244
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
1368
23.6 IPS |
|
|
Machine Translation (HP)
|
100% |
552
9.51 IPS |
|
|
Machine Translation (Q)
|
65% |
1781
35.8 IPS |
