SAMSUNG ELECTRONICS CO., LTD. 750XGK
Geekbench AI Score
2357
Single Precision Score
2337
Half Precision Score
1480
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 04:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| 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% |
984
183.0 IPS |
|
|
Image Classification (HP)
|
100% |
991
184.3 IPS |
|
|
Image Classification (Q)
|
100% |
821
152.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1459
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1792
29.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1115
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8523
9.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
9576
11.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
4620
5.41 IPS |
|
|
Object Detection (SP)
|
100% |
1169
92.7 IPS |
|
|
Object Detection (HP)
|
98% |
1011
80.5 IPS |
|
|
Object Detection (Q)
|
86% |
959
77.1 IPS |
|
|
Face Detection (SP)
|
100% |
2336
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
2749
32.7 IPS |
|
|
Face Detection (Q)
|
97% |
1676
20.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4526
34.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5090
39.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
3188
25.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18823
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23847
30.7 IPS |
|
|
Style Transfer (Q)
|
98% |
12133
15.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2718
100.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3602
133.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1162
43.0 IPS |
|
|
Text Classification (SP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
300
400.1 IPS |
|
|
Text Classification (Q)
|
97% |
403
539.7 IPS |
|
|
Machine Translation (SP)
|
100% |
858
14.8 IPS |
|
|
Machine Translation (HP)
|
100% |
786
13.5 IPS |
|
|
Machine Translation (Q)
|
70% |
412
7.73 IPS |
