OnePlus Nord CE 5G
Geekbench AI Score
158
Single Precision Score
284
Half Precision Score
885
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 02:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
183
34.1 IPS |
|
|
Image Classification (HP)
|
100% |
244
45.4 IPS |
|
|
Image Classification (Q)
|
97% |
588
109.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
153
2.48 IPS |
|
|
Image Segmentation (Q)
|
98% |
725
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
533
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1232
1.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
4333
5.08 IPS |
|
|
Object Detection (SP)
|
100% |
175
13.8 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.97 IPS |
|
|
Object Detection (Q)
|
85% |
611
49.2 IPS |
|
|
Face Detection (SP)
|
100% |
369
4.38 IPS |
|
|
Face Detection (HP)
|
100% |
288
3.42 IPS |
|
|
Face Detection (Q)
|
97% |
1707
20.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
320
2.47 IPS |
|
|
Depth Estimation (HP)
|
99% |
237
1.83 IPS |
|
|
Depth Estimation (Q)
|
63% |
2773
25.8 IPS |
|
|
Style Transfer (SP)
|
100% |
564
0.73 IPS |
|
|
Style Transfer (HP)
|
100% |
412
0.53 IPS |
|
|
Style Transfer (Q)
|
98% |
2583
3.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
577
21.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1989
73.7 IPS |
|
|
Text Classification (SP)
|
71% |
2
2.98 IPS |
|
|
Text Classification (HP)
|
100% |
157
210.1 IPS |
|
|
Text Classification (Q)
|
93% |
67
90.0 IPS |
|
|
Machine Translation (SP)
|
100% |
65
1.12 IPS |
|
|
Machine Translation (HP)
|
100% |
267
4.60 IPS |
|
|
Machine Translation (Q)
|
54% |
162
4.55 IPS |
