SAMSUNG ELECTRONICS CO., LTD. 750XED
Geekbench AI Score
638
Single Precision Score
624
Half Precision Score
398
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 15 2025 04:46 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% |
284
52.9 IPS |
|
|
Image Classification (HP)
|
100% |
276
51.3 IPS |
|
|
Image Classification (Q)
|
100% |
245
45.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
407
6.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
466
7.55 IPS |
|
|
Image Segmentation (Q)
|
98% |
295
4.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
2143
2.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
2261
2.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
1139
1.33 IPS |
|
|
Object Detection (SP)
|
100% |
318
25.3 IPS |
|
|
Object Detection (HP)
|
98% |
277
22.0 IPS |
|
|
Object Detection (Q)
|
86% |
263
21.1 IPS |
|
|
Face Detection (SP)
|
100% |
616
7.32 IPS |
|
|
Face Detection (HP)
|
100% |
698
8.30 IPS |
|
|
Face Detection (Q)
|
97% |
446
5.32 IPS |
|
|
Depth Estimation (SP)
|
100% |
1242
9.57 IPS |
|
|
Depth Estimation (HP)
|
98% |
1361
10.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
853
6.83 IPS |
|
|
Style Transfer (SP)
|
100% |
4698
6.04 IPS |
|
|
Style Transfer (HP)
|
100% |
5956
7.66 IPS |
|
|
Style Transfer (Q)
|
98% |
3069
3.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
726
26.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
931
34.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
303
11.2 IPS |
|
|
Text Classification (SP)
|
100% |
202
269.8 IPS |
|
|
Text Classification (HP)
|
100% |
86
115.1 IPS |
|
|
Text Classification (Q)
|
97% |
110
146.7 IPS |
|
|
Machine Translation (SP)
|
100% |
271
4.66 IPS |
|
|
Machine Translation (HP)
|
100% |
248
4.27 IPS |
|
|
Machine Translation (Q)
|
70% |
120
2.26 IPS |
