SAMSUNG ELECTRONICS CO., LTD. 750XHD
Geekbench AI Score
2817
Single Precision Score
1200
Half Precision Score
6011
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | jawolken |
| Upload Date | December 19 2025 10:53 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 750XHD |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP750XHD-KB1US |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 255U |
| Topology | 1 Processor, 12 Cores, 14 Threads |
| Identifier | GenuineIntel Family 6 Model 181 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2220
412.9 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.6 IPS |
|
|
Image Classification (Q)
|
99% |
5140
958.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1110
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
806
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6472
105.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4208
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2315
2.70 IPS |
|
|
Pose Estimation (Q)
|
94% |
15286
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2026
160.7 IPS |
|
|
Object Detection (HP)
|
100% |
627
49.8 IPS |
|
|
Object Detection (Q)
|
86% |
4589
368.8 IPS |
|
|
Face Detection (SP)
|
100% |
5484
65.2 IPS |
|
|
Face Detection (HP)
|
100% |
1350
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
8105
96.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5556
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1683
13.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
12288
98.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10405
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6415
8.25 IPS |
|
|
Style Transfer (Q)
|
98% |
16791
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2005
74.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1373
50.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4078
151.0 IPS |
|
|
Text Classification (SP)
|
100% |
1484
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
623
832.0 IPS |
|
|
Text Classification (Q)
|
97% |
1571
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1590
27.4 IPS |
|
|
Machine Translation (HP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2466
49.6 IPS |
