SAMSUNG ELECTRONICS CO., LTD. 750XED
Geekbench AI Score
1742
Single Precision Score
1712
Half Precision Score
3719
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 03:37 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) 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% |
922
171.4 IPS |
|
|
Image Classification (HP)
|
100% |
932
173.3 IPS |
|
|
Image Classification (Q)
|
100% |
2105
391.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2689
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2356
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2132
2.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
7041
8.25 IPS |
|
|
Object Detection (SP)
|
100% |
999
79.2 IPS |
|
|
Object Detection (HP)
|
100% |
880
69.8 IPS |
|
|
Object Detection (Q)
|
88% |
2021
162.0 IPS |
|
|
Face Detection (SP)
|
100% |
2881
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
2905
34.5 IPS |
|
|
Face Detection (Q)
|
100% |
5601
66.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2451
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2569
19.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
5871
45.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6450
8.29 IPS |
|
|
Style Transfer (HP)
|
100% |
6774
8.71 IPS |
|
|
Style Transfer (Q)
|
98% |
18186
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1083
40.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1069
39.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3313
122.7 IPS |
|
|
Text Classification (SP)
|
100% |
1103
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1095
1.46 KIPS |
|
|
Text Classification (Q)
|
92% |
1966
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
1638
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1571
27.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1617
27.9 IPS |
