SAMSUNG ELECTRONICS CO., LTD. 750XED
Geekbench AI Score
1658
Single Precision Score
1671
Half Precision Score
3531
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 03:57 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% |
922
171.4 IPS |
|
|
Image Classification (HP)
|
100% |
945
175.7 IPS |
|
|
Image Classification (Q)
|
100% |
1861
346.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1387
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1512
24.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2739
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2366
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2231
2.60 IPS |
|
|
Pose Estimation (Q)
|
96% |
5958
6.98 IPS |
|
|
Object Detection (SP)
|
100% |
886
70.2 IPS |
|
|
Object Detection (HP)
|
100% |
865
68.6 IPS |
|
|
Object Detection (Q)
|
88% |
1865
149.5 IPS |
|
|
Face Detection (SP)
|
100% |
2919
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
2751
32.7 IPS |
|
|
Face Detection (Q)
|
100% |
5557
66.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2538
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2332
18.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
5703
44.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5976
7.68 IPS |
|
|
Style Transfer (HP)
|
100% |
6172
7.93 IPS |
|
|
Style Transfer (Q)
|
98% |
20344
26.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
918
33.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
981
36.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3063
113.4 IPS |
|
|
Text Classification (SP)
|
100% |
1020
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1093
1.46 KIPS |
|
|
Text Classification (Q)
|
92% |
1845
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1421
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1458
25.1 IPS |
|
|
Machine Translation (Q)
|
100% |
1463
25.2 IPS |
