SAMSUNG ELECTRONICS CO., LTD. 550XDA
Geekbench AI Score
1857
Single Precision Score
2197
Half Precision Score
1180
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | September 11 2024 03:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 550XDA |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP550XDA-KH2BR |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
861
160.1 IPS |
|
|
Image Classification (HP)
|
100% |
943
175.3 IPS |
|
|
Image Classification (Q)
|
100% |
714
132.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
978
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
756
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5546
6.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
8681
10.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
3881
4.55 IPS |
|
|
Object Detection (SP)
|
100% |
1007
79.9 IPS |
|
|
Object Detection (HP)
|
98% |
977
77.7 IPS |
|
|
Object Detection (Q)
|
89% |
801
64.1 IPS |
|
|
Face Detection (SP)
|
100% |
1217
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
2163
25.7 IPS |
|
|
Face Detection (Q)
|
97% |
861
10.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4058
31.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5039
38.9 IPS |
|
|
Depth Estimation (Q)
|
73% |
2756
22.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16837
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23762
30.5 IPS |
|
|
Style Transfer (Q)
|
98% |
9876
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2804
103.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3588
132.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1146
42.4 IPS |
|
|
Text Classification (SP)
|
100% |
661
882.4 IPS |
|
|
Text Classification (HP)
|
100% |
372
497.1 IPS |
|
|
Text Classification (Q)
|
97% |
387
518.1 IPS |
|
|
Machine Translation (SP)
|
100% |
675
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
677
11.7 IPS |
|
|
Machine Translation (Q)
|
60% |
301
6.71 IPS |
