OnePlus Nord CE 5G
Geekbench AI Score
528
Single Precision Score
529
Half Precision Score
1020
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 01:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 750G |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | OnePlus Nord CE 5G |
| Model ID | OnePlus EB2103 |
| Motherboard | lito |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 11.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
228
42.3 IPS |
|
|
Image Classification (HP)
|
100% |
235
43.7 IPS |
|
|
Image Classification (Q)
|
100% |
689
128.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
300
4.87 IPS |
|
|
Image Segmentation (HP)
|
100% |
300
4.86 IPS |
|
|
Image Segmentation (Q)
|
98% |
768
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1175
1.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
1158
1.35 IPS |
|
|
Pose Estimation (Q)
|
84% |
1715
2.03 IPS |
|
|
Object Detection (SP)
|
100% |
234
18.6 IPS |
|
|
Object Detection (HP)
|
100% |
235
18.7 IPS |
|
|
Object Detection (Q)
|
83% |
691
55.9 IPS |
|
|
Face Detection (SP)
|
100% |
748
8.89 IPS |
|
|
Face Detection (HP)
|
100% |
749
8.90 IPS |
|
|
Face Detection (Q)
|
95% |
1607
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
905
6.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
907
6.99 IPS |
|
|
Depth Estimation (Q)
|
64% |
1594
14.6 IPS |
|
|
Style Transfer (SP)
|
89% |
1956
2.54 IPS |
|
|
Style Transfer (HP)
|
89% |
1955
2.54 IPS |
|
|
Style Transfer (Q)
|
98% |
4041
5.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
514
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
519
19.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
979
36.3 IPS |
|
|
Text Classification (SP)
|
100% |
278
371.2 IPS |
|
|
Text Classification (HP)
|
100% |
273
364.9 IPS |
|
|
Text Classification (Q)
|
88% |
536
722.5 IPS |
|
|
Machine Translation (SP)
|
100% |
482
8.31 IPS |
|
|
Machine Translation (HP)
|
100% |
481
8.29 IPS |
|
|
Machine Translation (Q)
|
50% |
358
12.7 IPS |
