SAMSUNG ELECTRONICS CO., LTD. 750XED
Geekbench AI Score
1739
Single Precision Score
1693
Half Precision Score
3668
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 03:49 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% |
916
170.4 IPS |
|
|
Image Classification (HP)
|
100% |
920
171.2 IPS |
|
|
Image Classification (Q)
|
100% |
2102
390.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1400
22.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2655
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2320
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
1792
2.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
6301
7.38 IPS |
|
|
Object Detection (SP)
|
100% |
897
71.2 IPS |
|
|
Object Detection (HP)
|
100% |
867
68.8 IPS |
|
|
Object Detection (Q)
|
88% |
2015
161.5 IPS |
|
|
Face Detection (SP)
|
100% |
2936
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
2936
34.9 IPS |
|
|
Face Detection (Q)
|
100% |
5518
65.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2602
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2675
20.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
5575
43.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5937
7.63 IPS |
|
|
Style Transfer (HP)
|
100% |
6513
8.37 IPS |
|
|
Style Transfer (Q)
|
98% |
20155
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1173
43.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1028
38.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3371
124.8 IPS |
|
|
Text Classification (SP)
|
100% |
1041
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1097
1.46 KIPS |
|
|
Text Classification (Q)
|
92% |
1960
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
1639
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1676
28.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1520
26.2 IPS |
