OnePlus CPH2747
Geekbench AI Score
2644
Single Precision Score
4103
Half Precision Score
3499
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | December 23 2025 11:39 AM |
| Views | 6 |
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 | 14.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1454
270.5 IPS |
|
|
Image Classification (HP)
|
100% |
2022
376.1 IPS |
|
|
Image Classification (Q)
|
100% |
1857
345.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3231
52.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5686
92.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5835
94.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12582
14.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
22616
26.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
22767
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
1537
121.9 IPS |
|
|
Object Detection (HP)
|
99% |
2017
160.0 IPS |
|
|
Object Detection (Q)
|
85% |
1965
158.2 IPS |
|
|
Face Detection (SP)
|
100% |
5753
68.4 IPS |
|
|
Face Detection (HP)
|
100% |
10315
122.6 IPS |
|
|
Face Detection (Q)
|
97% |
9037
107.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6472
49.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9180
71.0 IPS |
|
|
Depth Estimation (Q)
|
61% |
7101
69.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15638
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33624
43.2 IPS |
|
|
Style Transfer (Q)
|
98% |
34211
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3397
125.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5916
218.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5838
216.4 IPS |
|
|
Text Classification (SP)
|
35% |
84
822.2 IPS |
|
|
Text Classification (HP)
|
35% |
86
782.5 IPS |
|
|
Text Classification (Q)
|
33% |
69
775.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1110
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1595
27.5 IPS |
|
|
Machine Translation (Q)
|
48% |
643
24.7 IPS |
