SAMSUNG ELECTRONICS CO., LTD. 750XED
Geekbench AI Score
641
Single Precision Score
628
Half Precision Score
399
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 05:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
292
54.2 IPS |
|
|
Image Classification (HP)
|
100% |
291
54.1 IPS |
|
|
Image Classification (Q)
|
100% |
247
45.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
407
6.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
466
7.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
295
4.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
2140
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2257
2.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
1137
1.33 IPS |
|
|
Object Detection (SP)
|
100% |
320
25.4 IPS |
|
|
Object Detection (HP)
|
98% |
277
22.0 IPS |
|
|
Object Detection (Q)
|
86% |
264
21.2 IPS |
|
|
Face Detection (SP)
|
100% |
626
7.44 IPS |
|
|
Face Detection (HP)
|
100% |
705
8.38 IPS |
|
|
Face Detection (Q)
|
97% |
449
5.35 IPS |
|
|
Depth Estimation (SP)
|
100% |
1243
9.58 IPS |
|
|
Depth Estimation (HP)
|
98% |
1360
10.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
856
6.85 IPS |
|
|
Style Transfer (SP)
|
100% |
4700
6.04 IPS |
|
|
Style Transfer (HP)
|
100% |
6050
7.78 IPS |
|
|
Style Transfer (Q)
|
98% |
3072
3.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
726
26.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
922
34.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
305
11.3 IPS |
|
|
Text Classification (SP)
|
100% |
204
271.8 IPS |
|
|
Text Classification (HP)
|
100% |
86
114.3 IPS |
|
|
Text Classification (Q)
|
97% |
110
147.6 IPS |
|
|
Machine Translation (SP)
|
100% |
266
4.59 IPS |
|
|
Machine Translation (HP)
|
100% |
245
4.21 IPS |
|
|
Machine Translation (Q)
|
70% |
119
2.23 IPS |
