SAMSUNG ELECTRONICS CO., LTD. 750XGK
Geekbench AI Score
2049
Single Precision Score
867
Half Precision Score
4016
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | major14 |
| Upload Date | August 01 2025 06:25 PM |
| Views | 3 |
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% |
1536
285.6 IPS |
|
|
Image Classification (HP)
|
100% |
341
63.5 IPS |
|
|
Image Classification (Q)
|
99% |
3063
571.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
892
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
568
9.22 IPS |
|
|
Image Segmentation (Q)
|
98% |
4124
67.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3052
3.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
2096
2.45 IPS |
|
|
Pose Estimation (Q)
|
94% |
9058
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1524
120.9 IPS |
|
|
Object Detection (HP)
|
100% |
431
34.2 IPS |
|
|
Object Detection (Q)
|
86% |
3049
245.1 IPS |
|
|
Face Detection (SP)
|
100% |
3982
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
1043
12.4 IPS |
|
|
Face Detection (Q)
|
97% |
5265
62.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4048
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1167
8.99 IPS |
|
|
Depth Estimation (Q)
|
78% |
7737
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7549
9.70 IPS |
|
|
Style Transfer (HP)
|
100% |
4795
6.16 IPS |
|
|
Style Transfer (Q)
|
98% |
12790
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1473
54.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
944
34.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2969
109.9 IPS |
|
|
Text Classification (SP)
|
100% |
1042
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
479
639.8 IPS |
|
|
Text Classification (Q)
|
97% |
1100
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1101
19.0 IPS |
|
|
Machine Translation (HP)
|
100% |
525
9.05 IPS |
|
|
Machine Translation (Q)
|
65% |
1842
37.0 IPS |
