SAMSUNG ELECTRONICS CO., LTD. 750XED
Geekbench AI Score
1653
Single Precision Score
739
Half Precision Score
3699
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 04:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 750XED |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP750XED-KB3FR |
| Power Plan | Samsung Mode |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1357
252.4 IPS |
|
|
Image Classification (HP)
|
100% |
343
63.8 IPS |
|
|
Image Classification (Q)
|
99% |
2742
511.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
686
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
545
8.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
3793
61.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2730
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
1522
1.78 IPS |
|
|
Pose Estimation (Q)
|
94% |
8100
9.50 IPS |
|
|
Object Detection (SP)
|
100% |
1204
95.5 IPS |
|
|
Object Detection (HP)
|
100% |
341
27.0 IPS |
|
|
Object Detection (Q)
|
86% |
2706
217.5 IPS |
|
|
Face Detection (SP)
|
100% |
3136
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
992
11.8 IPS |
|
|
Face Detection (Q)
|
97% |
4392
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3148
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1033
7.96 IPS |
|
|
Depth Estimation (Q)
|
78% |
7050
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5141
6.61 IPS |
|
|
Style Transfer (HP)
|
100% |
3611
4.64 IPS |
|
|
Style Transfer (Q)
|
98% |
10879
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1081
39.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
727
26.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2930
108.5 IPS |
|
|
Text Classification (SP)
|
100% |
821
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
482
642.8 IPS |
|
|
Text Classification (Q)
|
97% |
1217
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1108
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
388
6.69 IPS |
|
|
Machine Translation (Q)
|
65% |
1753
35.2 IPS |
