OnePlus Nord CE 2 Lite
Geekbench AI Score
551
Single Precision Score
550
Half Precision Score
1071
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 26 2025 10:09 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 695 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | OnePlus Nord CE 2 Lite |
| Model ID | OnePlus CPH2381 |
| Motherboard | holi |
| Governor | performance |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
242
45.0 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (Q)
|
100% |
731
135.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
312
5.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
834
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1188
1.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1188
1.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
1745
2.07 IPS |
|
|
Object Detection (SP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (HP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (Q)
|
83% |
719
58.1 IPS |
|
|
Face Detection (SP)
|
100% |
768
9.13 IPS |
|
|
Face Detection (HP)
|
100% |
771
9.17 IPS |
|
|
Face Detection (Q)
|
95% |
1736
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1020
7.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
1021
7.86 IPS |
|
|
Depth Estimation (Q)
|
64% |
1634
15.0 IPS |
|
|
Style Transfer (SP)
|
89% |
2023
2.63 IPS |
|
|
Style Transfer (HP)
|
89% |
2028
2.63 IPS |
|
|
Style Transfer (Q)
|
98% |
4083
5.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
534
19.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
532
19.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1011
37.5 IPS |
|
|
Text Classification (SP)
|
100% |
292
390.2 IPS |
|
|
Text Classification (HP)
|
100% |
291
388.9 IPS |
|
|
Text Classification (Q)
|
88% |
593
800.1 IPS |
|
|
Machine Translation (SP)
|
100% |
483
8.33 IPS |
|
|
Machine Translation (HP)
|
100% |
479
8.25 IPS |
|
|
Machine Translation (Q)
|
50% |
375
13.3 IPS |
