SAMSUNG ELECTRONICS CO., LTD. 750XDA
Geekbench AI Score
1099
Single Precision Score
572
Half Precision Score
2494
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 06 2025 08:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-1115G4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 750XDA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP750XDA-KC3IT |
| Power Plan | Samsung Mode |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1115G4 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
749
139.2 IPS |
|
|
Image Classification (HP)
|
100% |
257
47.8 IPS |
|
|
Image Classification (Q)
|
99% |
1894
353.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
512
8.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
363
5.88 IPS |
|
|
Image Segmentation (Q)
|
98% |
1929
31.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1396
1.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
1137
1.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
4639
5.44 IPS |
|
|
Object Detection (SP)
|
100% |
725
57.5 IPS |
|
|
Object Detection (HP)
|
100% |
307
24.3 IPS |
|
|
Object Detection (Q)
|
86% |
1752
140.8 IPS |
|
|
Face Detection (SP)
|
100% |
1779
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
618
7.35 IPS |
|
|
Face Detection (Q)
|
97% |
3416
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1889
14.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
861
6.63 IPS |
|
|
Depth Estimation (Q)
|
78% |
4475
35.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3481
4.47 IPS |
|
|
Style Transfer (HP)
|
100% |
2518
3.24 IPS |
|
|
Style Transfer (Q)
|
98% |
6987
9.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
735
27.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
596
22.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2096
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
787
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
406
542.6 IPS |
|
|
Text Classification (Q)
|
97% |
1050
1.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
981
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
358
6.17 IPS |
|
|
Machine Translation (Q)
|
65% |
1335
26.8 IPS |
