SAMSUNG ELECTRONICS CO., LTD. 750XED
Geekbench AI Score
978
Single Precision Score
1397
Half Precision Score
2455
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 05:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
614
114.1 IPS |
|
|
Image Classification (HP)
|
100% |
948
176.3 IPS |
|
|
Image Classification (Q)
|
99% |
1483
276.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
861
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1395
22.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2465
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1750
2.04 IPS |
|
|
Pose Estimation (HP)
|
99% |
1254
1.46 IPS |
|
|
Pose Estimation (Q)
|
97% |
6028
7.06 IPS |
|
|
Object Detection (SP)
|
100% |
565
44.8 IPS |
|
|
Object Detection (HP)
|
100% |
921
73.0 IPS |
|
|
Object Detection (Q)
|
90% |
1682
134.5 IPS |
|
|
Face Detection (SP)
|
100% |
1781
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
2744
32.6 IPS |
|
|
Face Detection (Q)
|
100% |
5116
60.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1919
14.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
3198
24.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
4828
37.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4555
5.86 IPS |
|
|
Style Transfer (HP)
|
100% |
7378
9.48 IPS |
|
|
Style Transfer (Q)
|
98% |
13338
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
779
28.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1210
44.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2572
95.3 IPS |
|
|
Text Classification (SP)
|
71% |
344
498.0 IPS |
|
|
Text Classification (HP)
|
71% |
354
511.6 IPS |
|
|
Text Classification (Q)
|
92% |
376
504.8 IPS |
|
|
Machine Translation (SP)
|
100% |
369
6.36 IPS |
|
|
Machine Translation (HP)
|
96% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
100% |
675
11.6 IPS |
