SAMSUNG ELECTRONICS CO., LTD. 750XGK
Geekbench AI Score
1647
Single Precision Score
820
Half Precision Score
3344
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | harsidh |
| Upload Date | July 08 2025 12:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1315U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 750XGK |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP750XGJ-LG4IN |
| Power Plan | Samsung Mode |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1315U |
| Topology | 1 Processor, 6 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.20 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1165
216.7 IPS |
|
|
Image Classification (HP)
|
100% |
342
63.7 IPS |
|
|
Image Classification (Q)
|
99% |
2615
487.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
776
12.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
554
8.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
3333
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2382
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
1822
2.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
7468
8.76 IPS |
|
|
Object Detection (SP)
|
100% |
1159
91.9 IPS |
|
|
Object Detection (HP)
|
100% |
412
32.7 IPS |
|
|
Object Detection (Q)
|
86% |
2389
192.0 IPS |
|
|
Face Detection (SP)
|
100% |
3061
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
955
11.4 IPS |
|
|
Face Detection (Q)
|
97% |
4130
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3016
23.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1157
8.91 IPS |
|
|
Depth Estimation (Q)
|
78% |
6199
49.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5555
7.14 IPS |
|
|
Style Transfer (HP)
|
100% |
4183
5.38 IPS |
|
|
Style Transfer (Q)
|
98% |
10154
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1131
41.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
932
34.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2411
89.3 IPS |
|
|
Text Classification (SP)
|
100% |
1005
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
437
582.7 IPS |
|
|
Text Classification (Q)
|
97% |
1056
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1015
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
516
8.89 IPS |
|
|
Machine Translation (Q)
|
65% |
1699
34.1 IPS |
