SAMSUNG ELECTRONICS CO., LTD. 750XED
Geekbench AI Score
1678
Single Precision Score
1621
Half Precision Score
3614
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 04:00 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% |
930
172.9 IPS |
|
|
Image Classification (HP)
|
100% |
934
173.8 IPS |
|
|
Image Classification (Q)
|
100% |
2034
378.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1352
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2675
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2363
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
1782
2.08 IPS |
|
|
Pose Estimation (Q)
|
96% |
5954
6.97 IPS |
|
|
Object Detection (SP)
|
100% |
891
70.6 IPS |
|
|
Object Detection (HP)
|
100% |
895
71.0 IPS |
|
|
Object Detection (Q)
|
88% |
2086
167.3 IPS |
|
|
Face Detection (SP)
|
100% |
2902
34.5 IPS |
|
|
Face Detection (HP)
|
100% |
2980
35.4 IPS |
|
|
Face Detection (Q)
|
100% |
5611
66.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2463
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2543
19.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
5722
44.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5909
7.60 IPS |
|
|
Style Transfer (HP)
|
100% |
6305
8.10 IPS |
|
|
Style Transfer (Q)
|
98% |
20168
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
989
36.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
975
36.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3205
118.7 IPS |
|
|
Text Classification (SP)
|
100% |
1044
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
931
1.24 KIPS |
|
|
Text Classification (Q)
|
92% |
1794
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1540
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1382
23.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1514
26.1 IPS |
