OnePlus CPH2723
Geekbench AI Score
2592
Single Precision Score
3929
Half Precision Score
3398
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | dd88 |
| Upload Date | January 11 2026 05:49 AM |
| Views | 11 |
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% |
1521
282.9 IPS |
|
|
Image Classification (HP)
|
100% |
2336
434.4 IPS |
|
|
Image Classification (Q)
|
100% |
2250
418.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3303
53.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4853
78.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4939
80.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12961
15.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
23198
27.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
22767
26.7 IPS |
|
|
Object Detection (SP)
|
100% |
1460
115.8 IPS |
|
|
Object Detection (HP)
|
99% |
2051
162.7 IPS |
|
|
Object Detection (Q)
|
85% |
1857
149.5 IPS |
|
|
Face Detection (SP)
|
100% |
4992
59.3 IPS |
|
|
Face Detection (HP)
|
100% |
8823
104.8 IPS |
|
|
Face Detection (Q)
|
97% |
8817
105.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6634
51.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9035
69.8 IPS |
|
|
Depth Estimation (Q)
|
61% |
7015
68.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16232
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35594
45.8 IPS |
|
|
Style Transfer (Q)
|
98% |
35157
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3512
129.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5516
203.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5474
202.9 IPS |
|
|
Text Classification (SP)
|
35% |
75
732.1 IPS |
|
|
Text Classification (HP)
|
35% |
76
694.9 IPS |
|
|
Text Classification (Q)
|
33% |
61
680.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1017
17.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (Q)
|
48% |
603
23.1 IPS |
