SAMSUNG ELECTRONICS CO., LTD. 550XED
Geekbench AI Score
716
Single Precision Score
341
Half Precision Score
1448
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 04:35 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 550XED |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NT551XED-K0C/C |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
272
50.6 IPS |
|
|
Image Classification (HP)
|
100% |
139
25.8 IPS |
|
|
Image Classification (Q)
|
99% |
2009
374.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
422
6.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
236
3.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
999
16.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1160
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
796
0.93 IPS |
|
|
Pose Estimation (Q)
|
94% |
3534
4.14 IPS |
|
|
Object Detection (SP)
|
100% |
780
61.9 IPS |
|
|
Object Detection (HP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (Q)
|
86% |
1640
131.8 IPS |
|
|
Face Detection (SP)
|
100% |
1329
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
418
4.96 IPS |
|
|
Face Detection (Q)
|
97% |
2737
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1233
9.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
522
4.03 IPS |
|
|
Depth Estimation (Q)
|
78% |
3063
24.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1927
2.48 IPS |
|
|
Style Transfer (HP)
|
100% |
2020
2.60 IPS |
|
|
Style Transfer (Q)
|
98% |
4783
6.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
629
23.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
346
12.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
900
33.3 IPS |
|
|
Text Classification (SP)
|
100% |
437
582.8 IPS |
|
|
Text Classification (HP)
|
100% |
160
213.2 IPS |
|
|
Text Classification (Q)
|
97% |
136
181.9 IPS |
|
|
Machine Translation (SP)
|
100% |
393
6.77 IPS |
|
|
Machine Translation (HP)
|
100% |
186
3.20 IPS |
|
|
Machine Translation (Q)
|
65% |
712
14.3 IPS |
