SAMSUNG ELECTRONICS CO., LTD. 750XED
Geekbench AI Score
1676
Single Precision Score
1730
Half Precision Score
3624
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 03:33 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% |
955
177.6 IPS |
|
|
Image Classification (HP)
|
100% |
1001
186.1 IPS |
|
|
Image Classification (Q)
|
100% |
2282
424.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1413
22.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2521
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2315
2.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
1869
2.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
5674
6.65 IPS |
|
|
Object Detection (SP)
|
100% |
993
78.8 IPS |
|
|
Object Detection (HP)
|
100% |
985
78.1 IPS |
|
|
Object Detection (Q)
|
88% |
2090
167.5 IPS |
|
|
Face Detection (SP)
|
100% |
3045
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
3146
37.4 IPS |
|
|
Face Detection (Q)
|
100% |
5553
66.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1701
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2297
17.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
5703
44.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6873
8.84 IPS |
|
|
Style Transfer (HP)
|
100% |
6889
8.86 IPS |
|
|
Style Transfer (Q)
|
98% |
19204
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1057
39.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1118
41.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2993
110.8 IPS |
|
|
Text Classification (SP)
|
100% |
1060
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
1102
1.47 KIPS |
|
|
Text Classification (Q)
|
92% |
2050
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1544
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1508
26.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1538
26.5 IPS |
