SAMSUNG ELECTRONICS CO., LTD. 750XGK
Geekbench AI Score
1826
Single Precision Score
824
Half Precision Score
3352
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 04:06 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 5 120U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 750XGK |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT751XGK-K0D/R |
| 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% |
1500
278.9 IPS |
|
|
Image Classification (HP)
|
100% |
372
69.2 IPS |
|
|
Image Classification (Q)
|
99% |
3254
606.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
939
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
641
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1896
30.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3140
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2111
2.46 IPS |
|
|
Pose Estimation (Q)
|
94% |
9183
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1430
113.4 IPS |
|
|
Object Detection (HP)
|
100% |
461
36.5 IPS |
|
|
Object Detection (Q)
|
86% |
3106
249.6 IPS |
|
|
Face Detection (SP)
|
100% |
3503
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
867
10.3 IPS |
|
|
Face Detection (Q)
|
97% |
6068
72.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3301
25.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1164
8.97 IPS |
|
|
Depth Estimation (Q)
|
78% |
4747
37.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4823
6.20 IPS |
|
|
Style Transfer (HP)
|
100% |
3099
3.98 IPS |
|
|
Style Transfer (Q)
|
98% |
12351
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1330
49.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
842
31.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2062
76.3 IPS |
|
|
Text Classification (SP)
|
100% |
922
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
520
693.6 IPS |
|
|
Text Classification (Q)
|
97% |
678
908.9 IPS |
|
|
Machine Translation (SP)
|
100% |
957
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.86 IPS |
|
|
Machine Translation (Q)
|
65% |
2050
41.2 IPS |
