OnePlus CPH2723
Geekbench AI Score
1841
Single Precision Score
1859
Half Precision Score
3116
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 04 2025 01:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1398
259.9 IPS |
|
|
Image Classification (HP)
|
100% |
945
175.7 IPS |
|
|
Image Classification (Q)
|
100% |
1835
341.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1027
16.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1630
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3419
55.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3504
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
3509
4.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
8980
10.6 IPS |
|
|
Object Detection (SP)
|
98% |
1121
89.2 IPS |
|
|
Object Detection (HP)
|
98% |
1135
90.3 IPS |
|
|
Object Detection (Q)
|
83% |
2486
200.9 IPS |
|
|
Face Detection (SP)
|
100% |
3229
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
3195
38.0 IPS |
|
|
Face Detection (Q)
|
95% |
5967
71.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
3128
24.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3123
24.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
6353
58.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7755
10.1 IPS |
|
|
Style Transfer (HP)
|
89% |
7657
9.94 IPS |
|
|
Style Transfer (Q)
|
98% |
15798
20.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1580
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3874
143.5 IPS |
|
|
Text Classification (SP)
|
100% |
591
788.4 IPS |
|
|
Text Classification (HP)
|
99% |
619
826.3 IPS |
|
|
Text Classification (Q)
|
88% |
604
815.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1087
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (Q)
|
50% |
441
15.7 IPS |
