OnePlus CPH2723
Geekbench AI Score
2485
Single Precision Score
2502
Half Precision Score
4644
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | dd88 |
| Upload Date | January 11 2026 05:47 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1405
261.4 IPS |
|
|
Image Classification (HP)
|
100% |
1576
293.1 IPS |
|
|
Image Classification (Q)
|
100% |
3851
716.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2141
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2023
32.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4715
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4556
5.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
4623
5.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
11958
14.2 IPS |
|
|
Object Detection (SP)
|
98% |
1525
121.4 IPS |
|
|
Object Detection (HP)
|
98% |
1505
119.8 IPS |
|
|
Object Detection (Q)
|
83% |
3717
300.2 IPS |
|
|
Face Detection (SP)
|
100% |
3957
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
3870
46.0 IPS |
|
|
Face Detection (Q)
|
95% |
8883
106.1 IPS |
|
|
Depth Estimation (SP)
|
99% |
4064
31.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4059
31.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
9018
82.6 IPS |
|
|
Style Transfer (SP)
|
89% |
9990
13.0 IPS |
|
|
Style Transfer (HP)
|
89% |
10106
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
22958
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2165
79.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2110
77.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
6385
236.6 IPS |
|
|
Text Classification (SP)
|
100% |
957
1.28 KIPS |
|
|
Text Classification (HP)
|
99% |
990
1.32 KIPS |
|
|
Text Classification (Q)
|
88% |
997
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1295
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1309
22.5 IPS |
|
|
Machine Translation (Q)
|
50% |
494
17.5 IPS |
