SAMSUNG ELECTRONICS CO., LTD. 750XGK
Geekbench AI Score
2082
Single Precision Score
2067
Half Precision Score
1334
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | harsidh |
| Upload Date | July 08 2025 01:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
890
165.5 IPS |
|
|
Image Classification (HP)
|
100% |
872
162.2 IPS |
|
|
Image Classification (Q)
|
100% |
760
141.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1546
25.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
970
15.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7177
8.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
8268
9.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
4139
4.85 IPS |
|
|
Object Detection (SP)
|
100% |
1025
81.3 IPS |
|
|
Object Detection (HP)
|
98% |
889
70.7 IPS |
|
|
Object Detection (Q)
|
86% |
855
68.7 IPS |
|
|
Face Detection (SP)
|
100% |
2028
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
2351
27.9 IPS |
|
|
Face Detection (Q)
|
97% |
1484
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3983
30.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4463
34.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
2849
22.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15695
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20449
26.3 IPS |
|
|
Style Transfer (Q)
|
98% |
10515
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2253
83.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3154
116.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1063
39.4 IPS |
|
|
Text Classification (SP)
|
100% |
809
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
289
385.1 IPS |
|
|
Text Classification (Q)
|
97% |
381
510.2 IPS |
|
|
Machine Translation (SP)
|
100% |
775
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
735
12.7 IPS |
|
|
Machine Translation (Q)
|
70% |
382
7.16 IPS |
