SAMSUNG ELECTRONICS CO., LTD. 750XGK
Geekbench AI Score
1892
Single Precision Score
806
Half Precision Score
3674
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | major14 |
| Upload Date | July 25 2025 04:07 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 5 120U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 750XGK |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP750XGK-LS2IN |
| Power Plan | Samsung Mode |
| CPU Information | |
|---|---|
| Name | Intel Core 5 120U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1442
268.2 IPS |
|
|
Image Classification (HP)
|
100% |
312
58.1 IPS |
|
|
Image Classification (Q)
|
99% |
2823
526.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
821
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
546
8.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
3805
61.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2877
3.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1900
2.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
8439
9.89 IPS |
|
|
Object Detection (SP)
|
100% |
1418
112.4 IPS |
|
|
Object Detection (HP)
|
100% |
378
30.0 IPS |
|
|
Object Detection (Q)
|
86% |
2710
217.8 IPS |
|
|
Face Detection (SP)
|
100% |
3717
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
910
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
4905
58.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3811
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1111
8.56 IPS |
|
|
Depth Estimation (Q)
|
78% |
7123
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7033
9.04 IPS |
|
|
Style Transfer (HP)
|
100% |
4410
5.67 IPS |
|
|
Style Transfer (Q)
|
98% |
11527
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1354
50.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
878
32.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2520
93.3 IPS |
|
|
Text Classification (SP)
|
100% |
843
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
479
639.9 IPS |
|
|
Text Classification (Q)
|
97% |
1054
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1072
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
505
8.70 IPS |
|
|
Machine Translation (Q)
|
65% |
1708
34.3 IPS |
