SAMSUNG ELECTRONICS CO., LTD. 750XED
Geekbench AI Score
1672
Single Precision Score
1633
Half Precision Score
3428
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 04:08 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% |
932
173.2 IPS |
|
|
Image Classification (HP)
|
100% |
947
176.1 IPS |
|
|
Image Classification (Q)
|
100% |
2047
380.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1247
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2610
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2308
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1799
2.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
6702
7.85 IPS |
|
|
Object Detection (SP)
|
100% |
900
71.4 IPS |
|
|
Object Detection (HP)
|
100% |
902
71.5 IPS |
|
|
Object Detection (Q)
|
88% |
1943
155.8 IPS |
|
|
Face Detection (SP)
|
100% |
2937
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
2964
35.2 IPS |
|
|
Face Detection (Q)
|
100% |
5503
65.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2591
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2737
21.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
5372
41.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5907
7.59 IPS |
|
|
Style Transfer (HP)
|
100% |
5503
7.07 IPS |
|
|
Style Transfer (Q)
|
98% |
17776
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
995
36.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
983
36.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3036
112.4 IPS |
|
|
Text Classification (SP)
|
100% |
1060
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1091
1.46 KIPS |
|
|
Text Classification (Q)
|
92% |
1740
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1500
25.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1261
21.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1161
20.0 IPS |
