OnePlus CPH2747
Geekbench AI Score
2884
Single Precision Score
4483
Half Precision Score
3822
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 10 2025 08:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus CPH2747 |
| Model ID | OnePlus CPH2747 |
| Motherboard | canoe |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 2 revision 1 |
| Base Frequency | 3.63 GHz |
| Cluster 1 | 6 Cores @ 3.63 GHz |
| Cluster 2 | 2 Cores @ 4.61 GHz |
| Memory Information | |
|---|---|
| Size | 14.79 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1699
316.0 IPS |
|
|
Image Classification (HP)
|
100% |
2562
476.5 IPS |
|
|
Image Classification (Q)
|
100% |
2452
456.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3555
57.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7044
114.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7192
116.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14075
16.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
25394
29.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
25018
29.3 IPS |
|
|
Object Detection (SP)
|
100% |
1668
132.3 IPS |
|
|
Object Detection (HP)
|
99% |
2192
173.9 IPS |
|
|
Object Detection (Q)
|
85% |
2070
166.7 IPS |
|
|
Face Detection (SP)
|
100% |
5444
64.7 IPS |
|
|
Face Detection (HP)
|
100% |
9282
110.3 IPS |
|
|
Face Detection (Q)
|
97% |
8543
101.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7305
56.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9815
75.9 IPS |
|
|
Depth Estimation (Q)
|
61% |
7601
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17260
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38256
49.2 IPS |
|
|
Style Transfer (Q)
|
98% |
38225
49.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3731
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5858
216.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5666
210.0 IPS |
|
|
Text Classification (SP)
|
35% |
90
880.4 IPS |
|
|
Text Classification (HP)
|
35% |
90
822.9 IPS |
|
|
Text Classification (Q)
|
33% |
72
808.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1220
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1779
30.6 IPS |
|
|
Machine Translation (Q)
|
48% |
720
27.6 IPS |
