SAMSUNG ELECTRONICS CO., LTD. 750XED
Geekbench AI Score
1623
Single Precision Score
1588
Half Precision Score
3383
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 03:41 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% |
931
173.1 IPS |
|
|
Image Classification (HP)
|
100% |
927
172.4 IPS |
|
|
Image Classification (Q)
|
100% |
2121
394.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1378
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1400
22.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2781
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2408
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2282
2.66 IPS |
|
|
Pose Estimation (Q)
|
96% |
6446
7.55 IPS |
|
|
Object Detection (SP)
|
100% |
967
76.7 IPS |
|
|
Object Detection (HP)
|
100% |
928
73.6 IPS |
|
|
Object Detection (Q)
|
88% |
1915
153.5 IPS |
|
|
Face Detection (SP)
|
100% |
2914
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
2948
35.0 IPS |
|
|
Face Detection (Q)
|
100% |
5565
66.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2543
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2695
20.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
5810
45.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5497
7.07 IPS |
|
|
Style Transfer (HP)
|
100% |
6127
7.88 IPS |
|
|
Style Transfer (Q)
|
98% |
20095
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1177
43.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
908
33.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2941
108.9 IPS |
|
|
Text Classification (SP)
|
100% |
1089
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
832
1.11 KIPS |
|
|
Text Classification (Q)
|
92% |
1433
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
818
14.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1013
17.4 IPS |
|
|
Machine Translation (Q)
|
100% |
986
17.0 IPS |
