SAMSUNG ELECTRONICS CO., LTD. 750XED
Geekbench AI Score
1678
Single Precision Score
1612
Half Precision Score
3581
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 03:52 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% |
930
173.0 IPS |
|
|
Image Classification (HP)
|
100% |
938
174.5 IPS |
|
|
Image Classification (Q)
|
100% |
2071
385.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1294
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1325
21.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2510
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2343
2.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
1800
2.10 IPS |
|
|
Pose Estimation (Q)
|
96% |
6112
7.16 IPS |
|
|
Object Detection (SP)
|
100% |
898
71.2 IPS |
|
|
Object Detection (HP)
|
100% |
848
67.2 IPS |
|
|
Object Detection (Q)
|
88% |
2037
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
2890
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
2877
34.2 IPS |
|
|
Face Detection (Q)
|
100% |
5764
68.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2507
19.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2413
18.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
5836
45.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6283
8.08 IPS |
|
|
Style Transfer (HP)
|
100% |
6291
8.09 IPS |
|
|
Style Transfer (Q)
|
98% |
19908
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
954
35.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
910
33.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3312
122.6 IPS |
|
|
Text Classification (SP)
|
100% |
1037
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1067
1.42 KIPS |
|
|
Text Classification (Q)
|
92% |
1773
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1556
26.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1479
25.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1365
23.5 IPS |
