SAMSUNG ELECTRONICS CO., LTD. 750XED
Geekbench AI Score
980
Single Precision Score
1405
Half Precision Score
2444
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 04:52 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% |
617
114.7 IPS |
|
|
Image Classification (HP)
|
100% |
935
173.8 IPS |
|
|
Image Classification (Q)
|
99% |
1482
276.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
860
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2456
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1751
2.04 IPS |
|
|
Pose Estimation (HP)
|
99% |
1257
1.47 IPS |
|
|
Pose Estimation (Q)
|
97% |
6030
7.06 IPS |
|
|
Object Detection (SP)
|
100% |
561
44.5 IPS |
|
|
Object Detection (HP)
|
100% |
917
72.8 IPS |
|
|
Object Detection (Q)
|
90% |
1653
132.2 IPS |
|
|
Face Detection (SP)
|
100% |
1782
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
2733
32.5 IPS |
|
|
Face Detection (Q)
|
100% |
5022
59.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1935
14.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
3228
24.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
4771
37.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4549
5.85 IPS |
|
|
Style Transfer (HP)
|
100% |
7256
9.33 IPS |
|
|
Style Transfer (Q)
|
98% |
13308
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
779
28.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1200
44.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2598
96.2 IPS |
|
|
Text Classification (SP)
|
71% |
340
491.5 IPS |
|
|
Text Classification (HP)
|
71% |
401
579.6 IPS |
|
|
Text Classification (Q)
|
92% |
384
515.5 IPS |
|
|
Machine Translation (SP)
|
100% |
380
6.54 IPS |
|
|
Machine Translation (HP)
|
96% |
647
11.2 IPS |
|
|
Machine Translation (Q)
|
100% |
660
11.4 IPS |
