OnePlus CPH2663
Geekbench AI Score
675
Single Precision Score
887
Half Precision Score
845
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 25 2025 01:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | OnePlus CPH2663 |
| Model ID | OnePlus CPH2663 |
| Motherboard | pineapple |
| Governor | uag |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 3 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.61 GHz |
| Cluster 3 | 1 Core @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 11.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
449
83.4 IPS |
|
|
Image Classification (HP)
|
100% |
598
111.2 IPS |
|
|
Image Classification (Q)
|
96% |
461
86.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
696
11.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1057
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
948
15.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
785
0.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
1349
1.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
1345
1.58 IPS |
|
|
Object Detection (SP)
|
100% |
417
33.0 IPS |
|
|
Object Detection (HP)
|
100% |
636
50.5 IPS |
|
|
Object Detection (Q)
|
87% |
673
54.1 IPS |
|
|
Face Detection (SP)
|
100% |
1448
17.2 IPS |
|
|
Face Detection (HP)
|
100% |
1695
20.1 IPS |
|
|
Face Detection (Q)
|
97% |
1361
16.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1125
8.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
1941
15.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1590
14.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3470
4.46 IPS |
|
|
Style Transfer (HP)
|
100% |
5332
6.85 IPS |
|
|
Style Transfer (Q)
|
98% |
5277
6.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
444
16.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
751
27.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
718
26.6 IPS |
|
|
Text Classification (SP)
|
100% |
211
281.3 IPS |
|
|
Text Classification (HP)
|
100% |
210
279.9 IPS |
|
|
Text Classification (Q)
|
91% |
341
457.8 IPS |
|
|
Machine Translation (SP)
|
100% |
363
6.25 IPS |
|
|
Machine Translation (HP)
|
100% |
203
3.50 IPS |
|
|
Machine Translation (Q)
|
57% |
169
4.14 IPS |
