SAMSUNG ELECTRONICS CO., LTD. 750XED
Geekbench AI Score
1636
Single Precision Score
1673
Half Precision Score
3538
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 04:04 PM |
| Views | 2 |
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% |
945
175.8 IPS |
|
|
Image Classification (HP)
|
100% |
937
174.3 IPS |
|
|
Image Classification (Q)
|
100% |
2053
381.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2766
44.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2309
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1840
2.15 IPS |
|
|
Pose Estimation (Q)
|
96% |
6446
7.55 IPS |
|
|
Object Detection (SP)
|
100% |
875
69.4 IPS |
|
|
Object Detection (HP)
|
100% |
913
72.4 IPS |
|
|
Object Detection (Q)
|
88% |
1885
151.1 IPS |
|
|
Face Detection (SP)
|
100% |
2912
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
2931
34.8 IPS |
|
|
Face Detection (Q)
|
100% |
5729
68.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2407
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2607
20.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
5669
44.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5458
7.02 IPS |
|
|
Style Transfer (HP)
|
100% |
6083
7.82 IPS |
|
|
Style Transfer (Q)
|
98% |
19646
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1032
38.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1061
39.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3039
112.5 IPS |
|
|
Text Classification (SP)
|
100% |
945
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1072
1.43 KIPS |
|
|
Text Classification (Q)
|
92% |
1773
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1520
26.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1430
24.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1297
22.3 IPS |
