OnePlus CPH2723
Geekbench AI Score
1486
Single Precision Score
1376
Half Precision Score
2301
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 26 2025 08:11 AM |
| Views | 3 |
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% |
799
148.6 IPS |
|
|
Image Classification (HP)
|
100% |
780
145.1 IPS |
|
|
Image Classification (Q)
|
100% |
1640
305.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
980
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
742
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2045
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2300
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
2326
2.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
5743
6.81 IPS |
|
|
Object Detection (SP)
|
98% |
748
59.6 IPS |
|
|
Object Detection (HP)
|
98% |
760
60.5 IPS |
|
|
Object Detection (Q)
|
83% |
1673
135.1 IPS |
|
|
Face Detection (SP)
|
100% |
2171
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
3463
41.1 IPS |
|
|
Face Detection (Q)
|
95% |
8033
95.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
3625
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2671
20.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4040
37.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9291
12.1 IPS |
|
|
Style Transfer (HP)
|
89% |
5971
7.75 IPS |
|
|
Style Transfer (Q)
|
98% |
11874
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1236
45.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1195
44.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2803
103.9 IPS |
|
|
Text Classification (SP)
|
100% |
491
655.9 IPS |
|
|
Text Classification (HP)
|
99% |
415
554.0 IPS |
|
|
Text Classification (Q)
|
88% |
331
446.5 IPS |
|
|
Machine Translation (SP)
|
100% |
882
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
871
15.0 IPS |
|
|
Machine Translation (Q)
|
50% |
362
12.8 IPS |
