SAMSUNG ELECTRONICS CO., LTD. 550XED
Geekbench AI Score
965
Single Precision Score
394
Half Precision Score
1620
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 04:24 AM |
| Views | 2 |
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% |
779
145.0 IPS |
|
|
Image Classification (HP)
|
100% |
140
26.0 IPS |
|
|
Image Classification (Q)
|
99% |
1612
300.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
516
8.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (Q)
|
98% |
940
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1104
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
827
0.96 IPS |
|
|
Pose Estimation (Q)
|
94% |
3443
4.04 IPS |
|
|
Object Detection (SP)
|
100% |
815
64.6 IPS |
|
|
Object Detection (HP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (Q)
|
86% |
1627
130.7 IPS |
|
|
Face Detection (SP)
|
100% |
2074
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
473
5.61 IPS |
|
|
Face Detection (Q)
|
97% |
2327
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1817
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
554
4.27 IPS |
|
|
Depth Estimation (Q)
|
78% |
4820
38.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2382
3.06 IPS |
|
|
Style Transfer (HP)
|
100% |
1895
2.44 IPS |
|
|
Style Transfer (Q)
|
98% |
5649
7.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
544
20.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
455
16.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1372
50.8 IPS |
|
|
Text Classification (SP)
|
100% |
618
825.1 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.7 IPS |
|
|
Text Classification (Q)
|
97% |
197
264.2 IPS |
|
|
Machine Translation (SP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
225
3.87 IPS |
|
|
Machine Translation (Q)
|
65% |
858
17.2 IPS |
