OnePlus CPH2723
Geekbench AI Score
2753
Single Precision Score
4452
Half Precision Score
3770
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 21 2026 09:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | OnePlus CPH2723 |
| Model ID | OnePlus CPH2723 |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1716
319.0 IPS |
|
|
Image Classification (HP)
|
100% |
2732
508.1 IPS |
|
|
Image Classification (Q)
|
100% |
2703
502.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3092
50.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6282
101.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5985
97.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12930
15.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
23147
27.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
22786
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
1625
128.9 IPS |
|
|
Object Detection (HP)
|
99% |
2211
175.4 IPS |
|
|
Object Detection (Q)
|
85% |
2091
168.3 IPS |
|
|
Face Detection (SP)
|
100% |
5488
65.2 IPS |
|
|
Face Detection (HP)
|
100% |
10369
123.2 IPS |
|
|
Face Detection (Q)
|
97% |
8824
105.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6601
50.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9202
71.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
7187
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16384
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36190
46.5 IPS |
|
|
Style Transfer (Q)
|
98% |
35468
45.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3613
133.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5858
216.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5926
219.6 IPS |
|
|
Text Classification (SP)
|
35% |
96
937.7 IPS |
|
|
Text Classification (HP)
|
35% |
91
824.2 IPS |
|
|
Text Classification (Q)
|
33% |
75
835.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1894
32.6 IPS |
|
|
Machine Translation (Q)
|
48% |
753
28.9 IPS |
